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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Development of the short version of the Gynecologic Cancer Lymphedema Questionnaire: GCLQ-7</title><author><name sortKey="Kim, Se Ik" sort="Kim, Se Ik" uniqKey="Kim S" first="Se Ik" last="Kim">Se Ik Kim</name><affiliation><nlm:aff id="A1">Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Kim, Namjoo" sort="Kim, Namjoo" uniqKey="Kim N" first="Namjoo" last="Kim">Namjoo Kim</name><affiliation><nlm:aff id="A2">Center for Uterine Cancer, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Statistics, Dongguk University School of Medicine, Seoul,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Lee, Seonjoo" sort="Lee, Seonjoo" uniqKey="Lee S" first="Seonjoo" last="Lee">Seonjoo Lee</name><affiliation><nlm:aff id="A2">Center for Uterine Cancer, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation><affiliation><nlm:aff id="A4">Bio Medical Laboratory Science, Yonsei University Wonju College of Medicine, Wonju,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Lee, Sujung" sort="Lee, Sujung" uniqKey="Lee S" first="Sujung" last="Lee">Sujung Lee</name><affiliation><nlm:aff id="A2">Center for Uterine Cancer, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Joo, Jungnam" sort="Joo, Jungnam" uniqKey="Joo J" first="Jungnam" last="Joo">Jungnam Joo</name><affiliation><nlm:aff id="A5">Biometric Research Branch, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Seo, Sang Soo" sort="Seo, Sang Soo" uniqKey="Seo S" first="Sang-Soo" last="Seo">Sang-Soo Seo</name><affiliation><nlm:aff id="A2">Center for Uterine Cancer, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Chung, Seung Hyun" sort="Chung, Seung Hyun" uniqKey="Chung S" first="Seung Hyun" last="Chung">Seung Hyun Chung</name><affiliation><nlm:aff id="A6">Rehabilitation Clinic, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Park, Sang Yoon" sort="Park, Sang Yoon" uniqKey="Park S" first="Sang-Yoon" last="Park">Sang-Yoon Park</name><affiliation><nlm:aff id="A2">Center for Uterine Cancer, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Gynecologic Cancer Branch, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Lim, Myong Cheol" sort="Lim, Myong Cheol" uniqKey="Lim M" first="Myong Cheol" last="Lim">Myong Cheol Lim</name><affiliation><nlm:aff id="A2">Center for Uterine Cancer, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Gynecologic Cancer Branch, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">27819411</idno><idno type="pmc">5323290</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5323290</idno><idno type="RBID">PMC:5323290</idno><idno type="doi">10.3802/jgo.2017.28.e9</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">004073</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">004073</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Development of the short version of the Gynecologic Cancer Lymphedema Questionnaire: GCLQ-7</title><author><name sortKey="Kim, Se Ik" sort="Kim, Se Ik" uniqKey="Kim S" first="Se Ik" last="Kim">Se Ik Kim</name><affiliation><nlm:aff id="A1">Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Kim, Namjoo" sort="Kim, Namjoo" uniqKey="Kim N" first="Namjoo" last="Kim">Namjoo Kim</name><affiliation><nlm:aff id="A2">Center for Uterine Cancer, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Statistics, Dongguk University School of Medicine, Seoul,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Lee, Seonjoo" sort="Lee, Seonjoo" uniqKey="Lee S" first="Seonjoo" last="Lee">Seonjoo Lee</name><affiliation><nlm:aff id="A2">Center for Uterine Cancer, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation><affiliation><nlm:aff id="A4">Bio Medical Laboratory Science, Yonsei University Wonju College of Medicine, Wonju,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Lee, Sujung" sort="Lee, Sujung" uniqKey="Lee S" first="Sujung" last="Lee">Sujung Lee</name><affiliation><nlm:aff id="A2">Center for Uterine Cancer, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Joo, Jungnam" sort="Joo, Jungnam" uniqKey="Joo J" first="Jungnam" last="Joo">Jungnam Joo</name><affiliation><nlm:aff id="A5">Biometric Research Branch, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Seo, Sang Soo" sort="Seo, Sang Soo" uniqKey="Seo S" first="Sang-Soo" last="Seo">Sang-Soo Seo</name><affiliation><nlm:aff id="A2">Center for Uterine Cancer, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Chung, Seung Hyun" sort="Chung, Seung Hyun" uniqKey="Chung S" first="Seung Hyun" last="Chung">Seung Hyun Chung</name><affiliation><nlm:aff id="A6">Rehabilitation Clinic, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Park, Sang Yoon" sort="Park, Sang Yoon" uniqKey="Park S" first="Sang-Yoon" last="Park">Sang-Yoon Park</name><affiliation><nlm:aff id="A2">Center for Uterine Cancer, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Gynecologic Cancer Branch, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation></author><author><name sortKey="Lim, Myong Cheol" sort="Lim, Myong Cheol" uniqKey="Lim M" first="Myong Cheol" last="Lim">Myong Cheol Lim</name><affiliation><nlm:aff id="A2">Center for Uterine Cancer, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Gynecologic Cancer Branch, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</nlm:aff></affiliation></author></analytic><series><title level="j">Journal of Gynecologic Oncology</title><idno type="ISSN">2005-0380</idno><idno type="eISSN">2005-0399</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Objective</title><p>The Gynecologic Cancer Lymphedema Questionnaire (GCLQ) was designed to identify gynecologic cancer patients with lower limb lymphedema (LLL). The questionnaire consists of 20 items distributed over 7 symptom clusters. The present study aimed to develop an abridged form of the GCLQ for simpler screening and more effective follow-up of LLL.</p></sec><sec><title>Methods</title><p>Data that had been collected for the development and validation of the Korean version of the GCLQ (GCLQ-K) were used in this study. Receiver-operating characteristic (ROC) curves were drawn according to the individual items of the GCLQ-K. Based on discrimination ability, the candidate items were selected in each symptom cluster. After combining the items, the best model was identified and named GCLQ-7. The area under the ROC curve (AUC) was compared between the GCLQ-7 and the original GCLQ-K.</p></sec><sec><title>Results</title><p>In total, 11 candidate items were selected from the original GCLQ-K. Among the models made with the candidate items, GCLQ-7, the best model, was constructed with 7 items as follows: 1) limited knee movement, 2) general swelling, 3) redness, 4) firmness/tightness, 5) groin swelling, 6) heaviness, and 7) aching. This model exhibited an AUC of 0.945 (95% confidence interval [CI], 0.900–0.991), which is comparable with that of the original GCLQ-K (AUC, 0.867; 95% CI, 0.779–0.956). The best cutoff value was 2 points, at which the sensitivity and specificity were 97.0% and 76.5%, respectively.</p></sec><sec><title>Conclusion</title><p>The newly developed short version model, GCLQ-7, showed acceptable discrimination ability as compared with the original GCLQ-K.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Lim, Mc" uniqKey="Lim M">MC Lim</name></author><author><name sortKey="Moon, Ek" uniqKey="Moon E">EK Moon</name></author><author><name sortKey="Shin, A" uniqKey="Shin A">A Shin</name></author><author><name sortKey="Jung, Kw" uniqKey="Jung K">KW Jung</name></author><author><name sortKey="Won, Yj" uniqKey="Won Y">YJ Won</name></author><author><name sortKey="Seo, Ss" uniqKey="Seo S">SS Seo</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Beesley, V" uniqKey="Beesley V">V Beesley</name></author><author><name sortKey="Janda, M" uniqKey="Janda M">M Janda</name></author><author><name sortKey="Eakin, E" uniqKey="Eakin E">E Eakin</name></author><author><name sortKey="Obermair, A" uniqKey="Obermair A">A Obermair</name></author><author><name sortKey="Battistutta, D" uniqKey="Battistutta D">D Battistutta</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bae, Hs" uniqKey="Bae H">HS Bae</name></author><author><name sortKey="Lim, Mc" uniqKey="Lim M">MC Lim</name></author><author><name sortKey="Lee, Js" uniqKey="Lee J">JS Lee</name></author><author><name sortKey="Lee, Y" uniqKey="Lee Y">Y Lee</name></author><author><name sortKey="Nam, Bh" uniqKey="Nam B">BH Nam</name></author><author><name sortKey="Seo, Ss" uniqKey="Seo S">SS Seo</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kim, Si" uniqKey="Kim S">SI Kim</name></author><author><name sortKey="Lim, Mc" uniqKey="Lim M">MC Lim</name></author><author><name sortKey="Lee, Js" uniqKey="Lee J">JS Lee</name></author><author><name sortKey="Kim, Yj" uniqKey="Kim Y">YJ Kim</name></author><author><name sortKey="Seo, Ss" uniqKey="Seo S">SS Seo</name></author><author><name sortKey="Kang, S" uniqKey="Kang S">S Kang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Lim, Mc" uniqKey="Lim M">MC Lim</name></author><author><name sortKey="Lee, Js" uniqKey="Lee J">JS Lee</name></author><author><name sortKey="Nam, Bh" uniqKey="Nam B">BH Nam</name></author><author><name sortKey="Seo, Ss" uniqKey="Seo S">SS Seo</name></author><author><name sortKey="Kang, S" uniqKey="Kang S">S Kang</name></author><author><name sortKey="Park, Sy" uniqKey="Park S">SY Park</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ridner, Sh" uniqKey="Ridner S">SH Ridner</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Rowlands, Ij" uniqKey="Rowlands I">IJ Rowlands</name></author><author><name sortKey="Beesley, Vl" uniqKey="Beesley V">VL Beesley</name></author><author><name sortKey="Janda, M" uniqKey="Janda M">M Janda</name></author><author><name sortKey="Hayes, Sc" uniqKey="Hayes S">SC Hayes</name></author><author><name sortKey="Obermair, A" uniqKey="Obermair A">A Obermair</name></author><author><name sortKey="Quinn, Ma" uniqKey="Quinn M">MA Quinn</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Planinsek Ru Igaj, T" uniqKey="Planinsek Ru Igaj T">T Planinšek Ručigaj</name></author><author><name sortKey="Tlaker Unter, V" uniqKey="Tlaker Unter V">V Tlaker Žunter</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Cemal, Y" uniqKey="Cemal Y">Y Cemal</name></author><author><name sortKey="Jewell, S" uniqKey="Jewell S">S Jewell</name></author><author><name sortKey="Albornoz, Cr" uniqKey="Albornoz C">CR Albornoz</name></author><author><name sortKey="Pusic, A" uniqKey="Pusic A">A Pusic</name></author><author><name sortKey="Mehrara, Bj" uniqKey="Mehrara B">BJ Mehrara</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Carter, J" uniqKey="Carter J">J Carter</name></author><author><name sortKey="Raviv, L" uniqKey="Raviv L">L Raviv</name></author><author><name sortKey="Appollo, K" uniqKey="Appollo K">K Appollo</name></author><author><name sortKey="Baser, Re" uniqKey="Baser R">RE Baser</name></author><author><name sortKey="Iasonos, A" uniqKey="Iasonos A">A Iasonos</name></author><author><name sortKey="Barakat, Rr" uniqKey="Barakat R">RR Barakat</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Lim, Mc" uniqKey="Lim M">MC Lim</name></author><author><name sortKey="Lee, Js" uniqKey="Lee J">JS Lee</name></author><author><name sortKey="Joo, J" uniqKey="Joo J">J Joo</name></author><author><name sortKey="Park, K" uniqKey="Park K">K Park</name></author><author><name sortKey="Yoo, Hj" uniqKey="Yoo H">HJ Yoo</name></author><author><name sortKey="Seo, Ss" uniqKey="Seo S">SS Seo</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kerchner, K" uniqKey="Kerchner K">K Kerchner</name></author><author><name sortKey="Fleischer, A" uniqKey="Fleischer A">A Fleischer</name></author><author><name sortKey="Yosipovitch, G" uniqKey="Yosipovitch G">G Yosipovitch</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Fayers, P" uniqKey="Fayers P">P Fayers</name></author><author><name sortKey="Bottomley, A" uniqKey="Bottomley A">A Bottomley</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Rosen, R" uniqKey="Rosen R">R Rosen</name></author><author><name sortKey="Brown, C" uniqKey="Brown C">C Brown</name></author><author><name sortKey="Heiman, J" uniqKey="Heiman J">J Heiman</name></author><author><name sortKey="Leiblum, S" uniqKey="Leiblum S">S Leiblum</name></author><author><name sortKey="Meston, C" uniqKey="Meston C">C Meston</name></author><author><name sortKey="Shabsigh, R" uniqKey="Shabsigh R">R Shabsigh</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Isidori, Am" uniqKey="Isidori A">AM Isidori</name></author><author><name sortKey="Pozza, C" uniqKey="Pozza C">C Pozza</name></author><author><name sortKey="Esposito, K" uniqKey="Esposito K">K Esposito</name></author><author><name sortKey="Giugliano, D" uniqKey="Giugliano D">D Giugliano</name></author><author><name sortKey="Morano, S" uniqKey="Morano S">S Morano</name></author><author><name sortKey="Vignozzi, L" uniqKey="Vignozzi L">L Vignozzi</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Warren, Ag" uniqKey="Warren A">AG Warren</name></author><author><name sortKey="Brorson, H" uniqKey="Brorson H">H Brorson</name></author><author><name sortKey="Borud, Lj" uniqKey="Borud L">LJ Borud</name></author><author><name sortKey="Slavin, Sa" uniqKey="Slavin S">SA 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<front><journal-meta><journal-id journal-id-type="nlm-ta">J Gynecol Oncol</journal-id><journal-id journal-id-type="iso-abbrev">J Gynecol Oncol</journal-id><journal-id journal-id-type="publisher-id">JGO</journal-id><journal-title-group><journal-title>Journal of Gynecologic Oncology</journal-title></journal-title-group><issn pub-type="ppub">2005-0380</issn><issn pub-type="epub">2005-0399</issn><publisher><publisher-name>Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">27819411</article-id><article-id pub-id-type="pmc">5323290</article-id><article-id pub-id-type="doi">10.3802/jgo.2017.28.e9</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject><subj-group subj-group-type="subheading"><subject>Other</subject></subj-group></subj-group></article-categories><title-group><article-title>Development of the short version of the Gynecologic Cancer Lymphedema Questionnaire: GCLQ-7</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="true">http://orcid.org/0000-0002-9790-6735</contrib-id><name><surname>Kim</surname><given-names>Se Ik</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="author-notes" rid="afn1">*</xref></contrib><contrib contrib-type="author"><name><surname>Kim</surname><given-names>Namjoo</given-names></name><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A3">3</xref><xref ref-type="author-notes" rid="afn1">*</xref></contrib><contrib contrib-type="author"><name><surname>Lee</surname><given-names>Seonjoo</given-names></name><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A4">4</xref><xref ref-type="author-notes" rid="afn1">*</xref></contrib><contrib contrib-type="author"><name><surname>Lee</surname><given-names>Sujung</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="true">http://orcid.org/0000-0001-6961-8122</contrib-id><name><surname>Joo</surname><given-names>Jungnam</given-names></name><xref ref-type="aff" rid="A5">5</xref></contrib><contrib contrib-type="author"><name><surname>Seo</surname><given-names>Sang-Soo</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Chung</surname><given-names>Seung Hyun</given-names></name><xref ref-type="aff" rid="A6">6</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="true">http://orcid.org/0000-0001-8325-6009</contrib-id><name><surname>Park</surname><given-names>Sang-Yoon</given-names></name><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A7">7</xref></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid" authenticated="true">http://orcid.org/0000-0001-8964-7158</contrib-id><name><surname>Lim</surname><given-names>Myong Cheol</given-names></name><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A7">7</xref></contrib></contrib-group><aff id="A1"><label>1</label>Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul,<country>Korea</country>.</aff><aff id="A2"><label>2</label>Center for Uterine Cancer, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</aff><aff id="A3"><label>3</label>Department of Statistics, Dongguk University School of Medicine, Seoul,<country>Korea</country>.</aff><aff id="A4"><label>4</label>Bio Medical Laboratory Science, Yonsei University Wonju College of Medicine, Wonju,<country>Korea</country>.</aff><aff id="A5"><label>5</label>Biometric Research Branch, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</aff><aff id="A6"><label>6</label>Rehabilitation Clinic, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</aff><aff id="A7"><label>7</label>Gynecologic Cancer Branch, Research Institute and Hospital, National Cancer Center, Goyang,<country>Korea</country>.</aff><author-notes><corresp>Correspondence to Myong Cheol Lim. Center for Uterine Cancer and Gynecologic Cancer Branch, Research Institute and Hospital, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Goyang 10408, Korea. <email>gynlim@gmail.com</email></corresp><fn id="afn1" fn-type="equal"><p><sup>*</sup>Se Ik Kim, Namjoo Kim, and Seonjoo Lee contributed equally to this work.</p></fn></author-notes><pub-date pub-type="ppub"><month>3</month><year>2017</year></pub-date><pub-date pub-type="epub"><day>07</day><month>10</month><year>2016</year></pub-date><volume>28</volume><issue>2</issue><elocation-id>e9</elocation-id><history><date date-type="received"><day>20</day><month>8</month><year>2016</year></date><date date-type="rev-recd"><day>19</day><month>9</month><year>2016</year></date><date date-type="accepted"><day>28</day><month>9</month><year>2016</year></date></history><permissions><copyright-statement>Copyright © 2017. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology</copyright-statement><copyright-year>2017</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/"><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><sec><title>Objective</title><p>The Gynecologic Cancer Lymphedema Questionnaire (GCLQ) was designed to identify gynecologic cancer patients with lower limb lymphedema (LLL). The questionnaire consists of 20 items distributed over 7 symptom clusters. The present study aimed to develop an abridged form of the GCLQ for simpler screening and more effective follow-up of LLL.</p></sec><sec><title>Methods</title><p>Data that had been collected for the development and validation of the Korean version of the GCLQ (GCLQ-K) were used in this study. Receiver-operating characteristic (ROC) curves were drawn according to the individual items of the GCLQ-K. Based on discrimination ability, the candidate items were selected in each symptom cluster. After combining the items, the best model was identified and named GCLQ-7. The area under the ROC curve (AUC) was compared between the GCLQ-7 and the original GCLQ-K.</p></sec><sec><title>Results</title><p>In total, 11 candidate items were selected from the original GCLQ-K. Among the models made with the candidate items, GCLQ-7, the best model, was constructed with 7 items as follows: 1) limited knee movement, 2) general swelling, 3) redness, 4) firmness/tightness, 5) groin swelling, 6) heaviness, and 7) aching. This model exhibited an AUC of 0.945 (95% confidence interval [CI], 0.900–0.991), which is comparable with that of the original GCLQ-K (AUC, 0.867; 95% CI, 0.779–0.956). The best cutoff value was 2 points, at which the sensitivity and specificity were 97.0% and 76.5%, respectively.</p></sec><sec><title>Conclusion</title><p>The newly developed short version model, GCLQ-7, showed acceptable discrimination ability as compared with the original GCLQ-K.</p></sec></abstract><kwd-group kwd-group-type="author"><kwd>Genital Neoplasms, Female</kwd><kwd>Uterine Cervical Neoplasms</kwd><kwd>Ovarian Neoplasms</kwd><kwd>Endometrial Neoplasms</kwd><kwd>Lymphedema</kwd><kwd>Surveys and Questionnaires</kwd></kwd-group><funding-group><award-group><funding-source country="KR"><institution-wrap><institution>National Cancer Center</institution><institution-id institution-id-type="CrossRef">http://dx.doi.org/10.13039/501100003645</institution-id></institution-wrap></funding-source><award-id>1510190</award-id></award-group></funding-group></article-meta></front><body><sec sec-type="intro"><title>INTRODUCTION</title><p>In Korea, the annual number of cases of cervical, ovarian, and endometrial cancers is gradually increasing from 6,394 in 1999 to 7,454 in 2010 [<xref rid="B1" ref-type="bibr">1</xref>]. In gynecologic cancer surgeries, pelvic lymph node dissection (LND) is frequently performed with the purpose of staging and/or reducing tumor burden. However, this procedure causes damage to the lymphatic system, resulting in lower limb lymphedema (LLL) which is one of the most common and bothersome complications for gynecologic cancer survivors [<xref rid="B2" ref-type="bibr">2</xref><xref rid="B3" ref-type="bibr">3</xref><xref rid="B4" ref-type="bibr">4</xref><xref rid="B5" ref-type="bibr">5</xref>].</p><p>To date, the relationship between LLL and quality of life (QOL) in gynecologic cancer survivors has been well investigated. Patients with LLL have annoying lymphedema-related symptoms (e.g., swelling and numbness) and limited leg movement [<xref rid="B2" ref-type="bibr">2</xref><xref rid="B3" ref-type="bibr">3</xref><xref rid="B4" ref-type="bibr">4</xref><xref rid="B5" ref-type="bibr">5</xref>]. As these conditions deteriorate mobility and daily activity, lymphedema negatively affects cancer survivors’ physical, psychological, and social well-being [<xref rid="B6" ref-type="bibr">6</xref><xref rid="B7" ref-type="bibr">7</xref>]. Unfortunately, no cure has yet been established for LLL. Treatment of lymphedema, such as exercise, massage, and compression, focuses on reducing the swelling and controlling the pain. Initiation of treatment as early as possible, before extensive, irreversible changes occur, is recommended [<xref rid="B8" ref-type="bibr">8</xref><xref rid="B9" ref-type="bibr">9</xref>]. Therefore, early detection of LLL is the key point in both prognosis and management.</p><p>The Gynecologic Cancer Lymphedema Questionnaire (GCLQ) is a well-studied and useful diagnostic tool that effectively screens gynecologic cancer patients with LLL. This self-reporting questionnaire consists of 20 items that are distributed over 7 clusters of symptoms within the previous 4 weeks, and each item is responded to with either a “no” or a “yes” [<xref rid="B10" ref-type="bibr">10</xref>]. GCLQ has been translated into multiple languages. The Korean version of the GCLQ was also developed and validated for the Korean population and termed GCLQ-K [<xref rid="B11" ref-type="bibr">11</xref>]. Meanwhile, GCLQ should not be performed as a one-time test among gynecologic cancer survivors. According to a population-based study of Beesley et al. [<xref rid="B2" ref-type="bibr">2</xref>], only 75% of LLL cases were diagnosed within the first year after confirmation of gynecologic cancer. Continuous and repetitive follow up tests for LLL are mandatory.</p><p>For early detection and effective follow-up tests, a more simplified screening tool is necessary. Thus, the aim of this study was to develop an abridged form of GCLQ. Through statistical analyses, several items would be selected among the existing items of the original GCLQ and these would be used in the construction of possible models.</p></sec><sec sec-type="materials|methods"><title>MATERIALS AND METHODS</title><p>This secondary analysis of our previous retrospective cohort study was conducted after obtaining approval by the Institutional Review Board of National Cancer Center (NCC2016-0059). Data that had been collected for the development and validation of the GCLQ-K were used in this study [<xref rid="B11" ref-type="bibr">11</xref>].</p><sec id="sec1"><title>1. Study population</title><p>The study population of the present study was the same as that in our previously published study that developed and validated the GCLQ-K [<xref rid="B11" ref-type="bibr">11</xref>]. Among the survivors of gynecologic cancers who visited the outpatient clinic of National Cancer Center between October 2012 and January 2013, the following patients were included: 1) those with older than 18 years, 2) those who underwent pelvic LND, 3) those whose interval from surgery to survey was more than 6 weeks, and 4) those who agreed to participate in the study by providing written informed consent. Meanwhile, the patients with the following conditions were excluded: 1) edema with unclear cause, 2) active thrombosis, 3) tumors or local infection in the lower extremity, 4) uncontrolled diabetes mellitus, 5) severe cardiac dysfunction, 6) renal insufficiency, 7) auto-immune vasculitis, 8) pregnant or lactating patients, 9) alcohol or drug abusers, and 10) long-term users of systemic corticosteroids.</p><p>Of the 67 gynecologic cancer survivors who met these criteria, 33 were identified as having LLL (study group) and the other 34 did not have LLL (control group) [<xref rid="B11" ref-type="bibr">11</xref>]. In the diagnosis of LLL, clinicians performed patients’ physical examination and limb volume measurement. Imaging modalities such as magnetic resonance imaging or computed tomography (CT), as well as lymphoscintigraphy, were used. To exclude deep vein thrombosis, all the patients with swollen lower extremities were evaluated by using either limb sonography or CT venography, or both [<xref rid="B11" ref-type="bibr">11</xref><xref rid="B12" ref-type="bibr">12</xref>]. All the patients in both groups completed the GCLQ-K survey at the outpatient clinic [<xref rid="B11" ref-type="bibr">11</xref>].</p></sec><sec id="sec2"><title>2. Item selection and model generation</title><p>The original GCLQ-K has 20 items distributed over 7 symptom clusters, and each item is responded to with either a “no” or a “yes,” scored as 0 or 1, respectively. To develop an abridged form of the GCLQ-K, adequate selection of items was necessary.</p><p>First, 20 receiver-operating characteristic (ROC) curves, 1 for each item, were drawn. The performance of the ROC curve was defined as the ability to differentiate patients with LLL from those without LLL. Then, the ROC curves were grouped according to the 7 symptom clusters. The area under the curve (AUC) of the ROC curve was used to identify the most discriminative items. The item with the highest AUC was selected as having the best discrimination performance in each cluster. This procedure would identify 7 items that would be combined to generate a model. However, when the AUCs of the items did not show significant differences within a cluster, 1 or 2 items could be selected in that cluster and generate several different models.</p><p>In the comparison of the AUCs among the models, the best model with the best discrimination ability was identified and named GCLQ-7.</p></sec><sec id="sec3"><title>3. Statistical analysis</title><p>The total score for GCLQ-7 was measured by counting the number of items with “yes” responses (range, 0–7). The best cutoff GCLQ-7 score to dichotomize the patients with and without LLL was determined using Youden’s index.</p><p>The internal consistency reliability of the short version model, GCLQ-7, was assessed by using Cronbach’s α coefficient. The GCLQ-7 was compared with the original GCLQ-K in terms of discrimination ability based on AUCs and their confidence intervals (CIs).</p><p>Statistical analysis was performed by using the R statistical software version 2.12.1 (R Foundation for Statistical Computing, Vienna, Austria; ISBN 3-900051-07-0; <ext-link ext-link-type="uri" xlink:href="http://R-project.org">http://R-project.org</ext-link>).</p></sec></sec><sec sec-type="results"><title>RESULTS</title><p>The patients’ clinical characteristics were the same as presented in our previously published study: of the 67 gynecologic cancer survivors, 29, 24, and 12 patients were diagnosed with cervical, ovarian, and endometrial cancer, respectively, and the proportions of each cancer types were not statistically different between the study group and the control group [<xref rid="B11" ref-type="bibr">11</xref>].</p><p>The ROC curves of the 20 items grouped according to symptom clusters are shown in <xref ref-type="fig" rid="F1">Fig. 1</xref>. Under the swelling-general, swelling-limb, heaviness, and aching clusters, “swelling (item 8),” “groin swelling (item 19),” “heaviness (item 14),” and “aching (item 17)” were selected as candidate items for the short version model of GCLQ-K (AUCs, 0.970, 0.743, 0.805, and 0.656, respectively; <xref ref-type="table" rid="T1">Table 1</xref>).</p><fig id="F1" fig-type="figure" orientation="portrait" position="float"><label>Fig. 1</label><caption><p>ROC curves of the individual GCLQ-K items grouped according to symptom cluster.</p><p>ROC, receiver-operating characteristic; GCLQ, Gynecologic Cancer Lymphedema Questionnaire.</p></caption><graphic xlink:href="jgo-28-e9-g001"></graphic></fig><table-wrap id="T1" orientation="portrait" position="float"><label>Table 1</label><caption><title>Selection of items from the original GCLQ-K</title></caption><alternatives><graphic xlink:href="jgo-28-e9-i001"></graphic><table frame="hsides" rules="rows"><col width="21.88%" span="1"></col><col width="10.03%" span="1"></col><col width="42.55%" span="1"></col><col width="12.77%" span="1"></col><col width="12.77%" span="1"></col><thead><tr><th valign="top" align="left" rowspan="1" colspan="1">Symptom cluster</th><th valign="top" align="center" rowspan="1" colspan="1">Item No.</th><th valign="top" align="center" rowspan="1" colspan="1">Original GCLQ-K</th><th valign="top" align="center" rowspan="1" colspan="1">Candidate</th><th valign="top" align="center" rowspan="1" colspan="1">GCLQ-7</th></tr></thead><tbody><tr><td valign="top" align="left" rowspan="6" colspan="1" style="background-color:rgb(254,239,212)">Physical functioning</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">1</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Limited movement of your hip</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td></tr><tr><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">2</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Limited movement of your knee</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">V</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">V</td></tr><tr><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">3</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Limited movement of your ankle</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td></tr><tr><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">4</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Limited movement of your foot</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td></tr><tr><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">5</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Limited movement of your toes</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td></tr><tr><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">6</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Leg or foot feels weak</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">V</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td></tr><tr><td valign="top" align="left" rowspan="3" colspan="1">Swelling-general</td><td valign="top" align="right" rowspan="1" colspan="1">8</td><td valign="top" align="left" rowspan="1" colspan="1">Experienced swelling</td><td valign="top" align="center" rowspan="1" colspan="1">V</td><td valign="top" align="center" rowspan="1" colspan="1">V</td></tr><tr><td valign="top" align="right" rowspan="1" colspan="1">9</td><td valign="top" align="left" rowspan="1" colspan="1">Experienced swelling with pitting</td><td valign="top" align="center" rowspan="1" colspan="1"></td><td valign="top" align="center" rowspan="1" colspan="1"></td></tr><tr><td valign="top" align="right" rowspan="1" colspan="1">20</td><td valign="top" align="left" rowspan="1" colspan="1">Experienced pockets of fluid</td><td valign="top" align="center" rowspan="1" colspan="1"></td><td valign="top" align="center" rowspan="1" colspan="1"></td></tr><tr><td valign="top" align="left" rowspan="3" colspan="1" style="background-color:rgb(254,239,212)">Infection-related</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">10</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Experienced redness</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">V</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">V</td></tr><tr><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">11</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Experienced blistering</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td></tr><tr><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">13</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Experienced increased temperature in the leg</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">V</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td></tr><tr><td valign="top" align="left" rowspan="4" colspan="1">Numbness</td><td valign="top" align="right" rowspan="1" colspan="1">12</td><td valign="top" align="left" rowspan="1" colspan="1">Experienced firmness/tightness</td><td valign="top" align="center" rowspan="1" colspan="1">V</td><td valign="top" align="center" rowspan="1" colspan="1">V</td></tr><tr><td valign="top" align="right" rowspan="1" colspan="1">7</td><td valign="top" align="left" rowspan="1" colspan="1">Experienced tenderness</td><td valign="top" align="center" rowspan="1" colspan="1"></td><td valign="top" align="center" rowspan="1" colspan="1"></td></tr><tr><td valign="top" align="right" rowspan="1" colspan="1">15</td><td valign="top" align="left" rowspan="1" colspan="1">Experienced numbness</td><td valign="top" align="center" rowspan="1" colspan="1">V</td><td valign="top" align="center" rowspan="1" colspan="1"></td></tr><tr><td valign="top" align="right" rowspan="1" colspan="1">16</td><td valign="top" align="left" rowspan="1" colspan="1">Experienced stiffness</td><td valign="top" align="center" rowspan="1" colspan="1">V</td><td valign="top" align="center" rowspan="1" colspan="1"></td></tr><tr><td valign="top" align="left" rowspan="2" colspan="1" style="background-color:rgb(254,239,212)">Swelling-limb</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">18</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Experienced hip swelling</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td></tr><tr><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">19</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Experienced groin swelling</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">V</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">V</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Heaviness</td><td valign="top" align="right" rowspan="1" colspan="1">14</td><td valign="top" align="left" rowspan="1" colspan="1">Experienced heaviness</td><td valign="top" align="center" rowspan="1" colspan="1">V</td><td valign="top" align="center" rowspan="1" colspan="1">V</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Aching</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">17</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Experienced aching</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">V</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">V</td></tr></tbody></table></alternatives><table-wrap-foot><p>GCLQ, Gynecologic Cancer Lymphedema Questionnaire.</p></table-wrap-foot></table-wrap><p>In the physical functioning cluster, the 2 items with the highest AUCs were “leg or foot weakness (item 6)” and “limited knee movement (item 2)” (0.595 and 0.517, respectively), and thus considered as candidate items.</p><p>In the infection-related cluster, both “redness (item 10)” and “increased temperature in the leg (item 13)” showed similar AUCs (0.592 and 0.578, respectively), and considered as candidate items.</p><p>In the numbness cluster, all 4 items showed similar trends of the ROC curves. Except for “tenderness (item 7),” which showed the lowest AUC (0.577), “firmness/tightness (item 12),” “numbness (item 15),” and “stiffness (item 16)” were all considered as candidate items (AUCs, 0.653, 0.597, and 0.623, respectively).</p><p>From among the 11 candidate items, the items for all 7 clusters were combined, and 12 possible models were constructed (<xref ref-type="table" rid="T2">Table 2</xref>). By comparing AUCs as well as sensitivity and specificity at their best cutoff values, Model 1 was identified as the best model and named GCLQ-7. This model exhibited an AUC of 0.945 (95% CI, 0.900–0.991), which is comparable with that of the original GCLQ-K (AUC, 0.867; 95% CI, 0.779–0.956; <xref ref-type="fig" rid="F2">Fig. 2</xref>). The best cutoff value was 2 points in the GCLQ-7 model, and at this value, the sensitivity and specificity were 97.0% and 76.5%, respectively. Cronbach’s α for GCLQ-7 was 0.699, showing a questionable reliability as compared with that of the original GCLQ-K was 0.829 [<xref rid="B11" ref-type="bibr">11</xref>].</p><table-wrap id="T2" orientation="portrait" position="float"><label>Table 2</label><caption><title>Possible models constructed from the candidate items</title></caption><alternatives><graphic xlink:href="jgo-28-e9-i002"></graphic><table frame="hsides" rules="rows"><col width="1.44%" span="1"></col><col width="6.47%" span="1"></col><col width="7.67%" span="1"></col><col width="7.67%" span="1"></col><col width="7.67%" span="1"></col><col width="7.67%" span="1"></col><col width="7.67%" span="1"></col><col width="7.67%" span="1"></col><col width="7.67%" span="1"></col><col width="7.67%" span="1"></col><col width="7.67%" span="1"></col><col width="7.67%" span="1"></col><col width="7.67%" span="1"></col><col width="7.67%" span="1"></col><thead><tr><th valign="top" align="left" rowspan="2" colspan="2">Symptom cluster</th><th valign="top" align="center" rowspan="1" colspan="12">Model</th></tr><tr><th valign="top" align="center" rowspan="1" colspan="1">1</th><th valign="top" align="center" rowspan="1" colspan="1">2</th><th valign="top" align="center" rowspan="1" colspan="1">3</th><th valign="top" align="center" rowspan="1" colspan="1">4</th><th valign="top" align="center" rowspan="1" colspan="1">5</th><th valign="top" align="center" rowspan="1" colspan="1">6</th><th valign="top" align="center" rowspan="1" colspan="1">7</th><th valign="top" align="center" rowspan="1" colspan="1">8</th><th valign="top" align="center" rowspan="1" colspan="1">9</th><th valign="top" align="center" rowspan="1" colspan="1">10</th><th valign="top" align="center" rowspan="1" colspan="1">11</th><th valign="top" align="center" rowspan="1" colspan="1">12</th></tr></thead><tbody><tr><td valign="top" align="left" rowspan="1" colspan="2" style="background-color:rgb(254,239,212)">Swelling-general</td><td valign="top" align="center" rowspan="1" colspan="12" style="background-color:rgb(254,239,212)">#8 (swelling)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Swelling-limb</td><td valign="top" align="center" rowspan="1" colspan="12">#19 (groin swelling)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2" style="background-color:rgb(254,239,212)">Heaviness</td><td valign="top" align="center" rowspan="1" colspan="12" style="background-color:rgb(254,239,212)">#14 (heaviness)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Aching</td><td valign="top" align="center" rowspan="1" colspan="12">#17 (aching)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2" style="background-color:rgb(254,239,212)">Physical functioning</td><td valign="top" align="center" rowspan="1" colspan="6" style="background-color:rgb(254,239,212)">#2 (limited knee movement)</td><td valign="top" align="center" rowspan="1" colspan="6" style="background-color:rgb(254,239,212)">#6 (leg or foot weakness)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2">Infection-related</td><td valign="top" align="center" rowspan="1" colspan="3">#10 (redness)</td><td valign="top" align="center" rowspan="1" colspan="3">#13 (increased temperature)</td><td valign="top" align="center" rowspan="1" colspan="3">#10 (redness)</td><td valign="top" align="center" rowspan="1" colspan="3">#13 (increased temperature)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="2" style="background-color:rgb(254,239,212)">Numbness</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">#12 (firmness/tightness)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">#15 (numbness)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">#16 (stiffness)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">#12 (firmness/tightness)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">#15 (numbness)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">#16 (stiffness)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">#12 (firmness/tightness)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">#15 (numbness)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">#16 (stiffness)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">#12 (firmness/tightness)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">#15 (numbness)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">#16 (stiffness)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">AUC</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">0.945</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">0.926</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">0.933</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">0.941</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">0.921</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">0.930</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">0.935</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">0.915</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">0.924</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">0.934</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">0.910</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">0.921</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Sensitivity<sup>*</sup> (%)</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">97.0</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">97.0</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">97.0</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">84.8</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">87.9</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">97.0</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">97.0</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">84.8</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">97.0</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">87.9</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">87.9</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">97.0</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)"></td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">Specificity<sup>*</sup> (%)</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">76.5</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">76.5</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">79.4</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">91.2</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">88.2</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">79.4</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">76.5</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">88.2</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">79.4</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">91.2</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">85.3</td><td valign="top" align="right" rowspan="1" colspan="1" style="background-color:rgb(254,239,212)">76.5</td></tr></tbody></table></alternatives><table-wrap-foot><p>AUC, area under the curve of the receiver-operating characteristic curve.</p><p><sup>*</sup>Values at the best cutoff value in each model.</p></table-wrap-foot></table-wrap><fig id="F2" fig-type="figure" orientation="portrait" position="float"><label>Fig. 2</label><caption><p>Comparison of the ROC curves between the original GCLQ-K and GCLQ-7.</p><p>ROC, receiver-operating characteristic; GCLQ, Gynecologic Cancer Lymphedema Questionnaire; AUC, area under the curve.</p></caption><graphic xlink:href="jgo-28-e9-g002"></graphic></fig></sec><sec sec-type="discussion"><title>DISCUSSION</title><p>In the present study, the reliable short version model of GCLQ-K was successfully developed. Judging from the ROC curve studies, this model showed acceptable discrimination ability as compared with the original GCLQ.</p><p>It is interesting that the original GCLQ-K showed relatively low AUC (0.867) in our study population [<xref rid="B11" ref-type="bibr">11</xref>]. One of the possible reasons for this might be the questionnaire itself. The GCLQ-K is composed of 20 diverse items, and each item assesses whether or not the patient has specific symptoms (e.g., limited movement, swelling, or numbness) at a specific site (e.g., hip, knee, or ankle). Some of these items might have poor discrimination ability. By contrast, the newly developed GCLQ-7 comprises of “key” questions alone that represent individual symptom clusters and might better distinguish patients with LLL.</p><p>Development of a short version of the questionnaire is important. Some widely-used questionnaire tools that measure QOL of patients with cancer consist of too many question items (e.g., a total of 30 items for the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30) [<xref rid="B13" ref-type="bibr">13</xref>]. The large number of items might facilitate detailed assessment for specific topics. However, from the subjects’ point of view, a long and complex questionnaire set takes a long time to complete, which might lower the subjects’ concentration level, and the completeness and reproducibility of the survey. In addition, for early detection of disease and monitoring treatment, a short version of the questionnaire would be necessary and much useful. For these reasons, several studies developed short versions of preexisting questionnaire tools. The Female Sexual Function Index (FSFI), which measures women’s sexual dysfunction, is one example of these efforts. The original FSFI was a 19-item self-reported questionnaire set [<xref rid="B14" ref-type="bibr">14</xref>]. Although it was one of the most powerful and useful diagnostic tools, Isidori et al. [<xref rid="B15" ref-type="bibr">15</xref>] recognized that it was too long for routine use in overcrowded outpatient clinics and developed and validated a 6-item version of FSFI. From then on, the FSFI-6 has been widely used in both clinical and research fields.</p><p>The present study has several methodological limitations. First, in the item selection, we tried to choose the best performing item in each symptom cluster. However, the AUCs of the ROC curves for the individual items did not different so much in some symptom clusters (physical functioning, infection-related, and numbness clusters), resulting in a total of 12 possible models.</p><p>Second, in the model selection, the AUCs of the ROC curves for individual models were solely considered. If the best model was chosen based on the combination of the items having the largest AUCs alone within the 7 symptom clusters, it would be Model 7. In fact, Model 1 (GCLQ-7) and Model 7 showed similar ROC curves and not so different AUCs (0.945 vs. 0.935). This lack of marked differences might suggest that just combination of the existing items is not sufficient: modifying a single item question and/or combining two or three item questions would be necessary for better discrimination performance.</p><p>Third, correlations between the items within the same symptom clusters and those of different clusters were not considered. For example, 2 candidate items of the same physical functioning cluster were “limited knee movement (item 2)” and “leg or foot weakness (item 6).” While item 2 indicates only the specific site, item 6 indicates a much broader site. In the swelling-general cluster, “swelling (item 8)” precedes “swelling with pitting (item 9),” chronologically reflecting the clinical manifestations of LLL [<xref rid="B16" ref-type="bibr">16</xref>]. Another example is that “swelling (item 8)” of the swelling-general cluster is indeed related with “limited knee movement (item 2)” of physical functioning [<xref rid="B7" ref-type="bibr">7</xref><xref rid="B17" ref-type="bibr">17</xref>]. Muscle weakness also may mediate this relationship between swelling and limited movement. Thus, both temporal and causal relationships among the items should be considered. The clinical manifestations of LLL and the anatomical movement of the leg should also be considered.</p><p>Fourth, the cutoff GCLQ-7 score is also controversial. From the statistical analyses, we selected 2 points in this study. However, the classification ratio was not so different between the cutoff values of 2 and 3 points (86.6% vs. 85.1%, respectively). This means that accuracy would be similar whether the cutoff value was 2 or 3 points (<xref ref-type="fig" rid="F2">Fig. 2</xref>). At the same time, the risks of false-positive and false-negative rates should be weighed in the selection of cut off values. Both sensitivity and false-positive rate were relatively higher when the cutoff score was 2 points than when the cutoff score was 3 points. The balance between a false-positive rate and a false-negative rate might also be affected by individual clinical conditions such as early detection or follow-up during treatment. These points should be considered in the future development of the GCLQ-7.</p><p>Lastly, the number of the study population in this retrospective cohort study was small (n=67). This aspect might affect both process of item selection and process of model selection. As the GCLQ-7 has the fewer number of items compared to the original version, prospective cohort studies with larger sample size is necessary to prove and validate its efficacy as a diagnostic tool.</p><p>In conclusion, the present study could newly develop the short version model of the GCLQ-K with acceptable ability to discriminate patients with LLL from those without LLL as that of the original version. In the near future, the GCLQ-7 will be modified based on the Delphi method by experts in gynecologic oncology, rehabilitation medicine, and lymphology. The version containing better clinical perspectives is expected in this step. The final version will be validated prospectively in case and control groups.</p></sec></body><back><fn-group><fn fn-type="supported-by"><p><bold>Funding:</bold> This work was supported by grants from the Korean National Cancer Center (1510190).</p></fn><fn fn-type="COI-statement"><p><bold>Conflict of Interest:</bold> Myong Cheol Lim serves as the editor for the Journal of Gynecologic Oncology (JGO), but has no role in the decision to publish this article. 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