PrediQt-Cx: Post Treatment Health Related Quality of Life Prediction Model for Cervical Cancer Patients
Identifieur interne : 006371 ( Ncbi/Merge ); précédent : 006370; suivant : 006372PrediQt-Cx: Post Treatment Health Related Quality of Life Prediction Model for Cervical Cancer Patients
Auteurs : Satwant Kumar [Inde] ; Madhu Lata Rana [Inde] ; Khushboo Verma [Inde] ; Narayanjeet Singh [Inde] ; Anil Kumar Sharma [Inde] ; Arun Kumar Maria [Inde] ; Gobind Singh Dhaliwal [Inde] ; Harkiran Kaur Khaira [Inde] ; Sunil Saini [Inde]Source :
- PLoS ONE [ 1932-6203 ] ; 2014.
Abstract
Cervical cancer is the third largest cause of cancer mortality in India. The objectives of the study were to compare the pre and the post treatment quality of life in cervical cancer patients and to develop a prediction model to provide an insight into the possibilities in the treatment modules.
A total of 198 patients were assessed with two structured questionnaires of Health Related Quality of Life (The European Organisation for Research and Treatment of Cancer, EORTC QLQ C-30 and CX-24). The baseline observations were recorded when the patients first reported (T1) and second evaluation was done at 6 months post treatment (T2). The mean age of detection was 50.9 years with the literacy level being non-educated or less than high school. Majority of them were married/cohabiting 179 (90.4%). On histopathological examination (HPE) squamous cell carcinoma was found to be the most common cell type carcinoma 147 (74.2%) followed by Adenocarcinoma 31 (15.7%). Radical hysterectomy was the most common treatment modality 76 (38.4%), followed by Wertheims Hysterectomy 46 (23.2%) and Radiochemotherapy 59 (29.8%). The mean score of global health of cervical cancer patients post treatment was 77.90, which was significantly higher than the pre - treatment score (54.32). Mean “symptoms score” post treatment was 21.69 with an aggravation of 7.32 compared to pre treatment scores. Patients experienced substantial decrease in sexual activity post treatment.
The prediction model(PrediQt-Cx), based on Support Vector Machine(SVM) for predicting post treatment HRQoL in cervical cancer patients was developed and internally cross validated. After external validation PrediQt-Cx can be easily employed to support decision making by clinicians and patients from north India region, through openly made available for access at
Url:
DOI: 10.1371/journal.pone.0089851
PubMed: 24587074
PubMed Central: 3935936
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and Research, Bathinda, Punjab, India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab</wicri:regionArea><wicri:noRegion>Punjab</wicri:noRegion></affiliation></author><author><name sortKey="Saini, Sunil" sort="Saini, Sunil" uniqKey="Saini S" first="Sunil" last="Saini">Sunil Saini</name><affiliation wicri:level="1"><nlm:aff id="aff3"><addr-line>Himalayan Institute of Medical Sciences(HIMS), Dehradun, Uttarkhand, India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Himalayan Institute of Medical Sciences(HIMS), Dehradun, Uttarkhand</wicri:regionArea><wicri:noRegion>Uttarkhand</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24587074</idno><idno type="pmc">3935936</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3935936</idno><idno type="RBID">PMC:3935936</idno><idno 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India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Institute of Bioinformatics, Bangalore, Karnataka</wicri:regionArea><wicri:noRegion>Karnataka</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="aff2"><addr-line>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab, India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab</wicri:regionArea><wicri:noRegion>Punjab</wicri:noRegion></affiliation></author><author><name sortKey="Rana, Madhu Lata" sort="Rana, Madhu Lata" uniqKey="Rana M" first="Madhu Lata" last="Rana">Madhu Lata Rana</name><affiliation wicri:level="1"><nlm:aff id="aff2"><addr-line>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab, India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab</wicri:regionArea><wicri:noRegion>Punjab</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="aff3"><addr-line>Himalayan Institute of Medical Sciences(HIMS), Dehradun, Uttarkhand, India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Himalayan Institute of Medical Sciences(HIMS), Dehradun, Uttarkhand</wicri:regionArea><wicri:noRegion>Uttarkhand</wicri:noRegion></affiliation></author><author><name sortKey="Verma, Khushboo" sort="Verma, Khushboo" uniqKey="Verma K" first="Khushboo" last="Verma">Khushboo Verma</name><affiliation wicri:level="1"><nlm:aff id="aff4"><addr-line>Rabindra Nath Tagore Medical College, Udaipur, Rajasthan, India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Rabindra Nath Tagore Medical College, Udaipur, Rajasthan</wicri:regionArea><wicri:noRegion>Rajasthan</wicri:noRegion></affiliation></author><author><name sortKey="Singh, Narayanjeet" sort="Singh, Narayanjeet" uniqKey="Singh N" first="Narayanjeet" last="Singh">Narayanjeet Singh</name><affiliation wicri:level="1"><nlm:aff id="aff2"><addr-line>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab, India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab</wicri:regionArea><wicri:noRegion>Punjab</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="aff3"><addr-line>Himalayan Institute of Medical Sciences(HIMS), Dehradun, Uttarkhand, India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Himalayan Institute of Medical Sciences(HIMS), Dehradun, Uttarkhand</wicri:regionArea><wicri:noRegion>Uttarkhand</wicri:noRegion></affiliation></author><author><name sortKey="Sharma, Anil Kumar" sort="Sharma, Anil Kumar" uniqKey="Sharma A" first="Anil Kumar" last="Sharma">Anil Kumar Sharma</name><affiliation wicri:level="1"><nlm:aff id="aff2"><addr-line>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab, India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab</wicri:regionArea><wicri:noRegion>Punjab</wicri:noRegion></affiliation></author><author><name sortKey="Maria, Arun Kumar" sort="Maria, Arun Kumar" uniqKey="Maria A" first="Arun Kumar" last="Maria">Arun Kumar Maria</name><affiliation wicri:level="1"><nlm:aff id="aff2"><addr-line>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab, India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab</wicri:regionArea><wicri:noRegion>Punjab</wicri:noRegion></affiliation></author><author><name sortKey="Dhaliwal, Gobind Singh" sort="Dhaliwal, Gobind Singh" uniqKey="Dhaliwal G" first="Gobind Singh" last="Dhaliwal">Gobind Singh Dhaliwal</name><affiliation wicri:level="1"><nlm:aff id="aff2"><addr-line>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab, India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab</wicri:regionArea><wicri:noRegion>Punjab</wicri:noRegion></affiliation></author><author><name sortKey="Khaira, Harkiran Kaur" sort="Khaira, Harkiran Kaur" uniqKey="Khaira H" first="Harkiran Kaur" last="Khaira">Harkiran Kaur Khaira</name><affiliation wicri:level="1"><nlm:aff id="aff2"><addr-line>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab, India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab</wicri:regionArea><wicri:noRegion>Punjab</wicri:noRegion></affiliation></author><author><name sortKey="Saini, Sunil" sort="Saini, Sunil" uniqKey="Saini S" first="Sunil" last="Saini">Sunil Saini</name><affiliation wicri:level="1"><nlm:aff id="aff3"><addr-line>Himalayan Institute of Medical Sciences(HIMS), Dehradun, Uttarkhand, India</addr-line></nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>Himalayan Institute of Medical Sciences(HIMS), Dehradun, Uttarkhand</wicri:regionArea><wicri:noRegion>Uttarkhand</wicri:noRegion></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>Cervical cancer is the third largest cause of cancer mortality in India. The objectives of the study were to compare the pre and the post treatment quality of life in cervical cancer patients and to develop a prediction model to provide an insight into the possibilities in the treatment modules.</p></sec><sec><title>Methodology/Principal Findings</title><p>A total of 198 patients were assessed with two structured questionnaires of Health Related Quality of Life (The European Organisation for Research and Treatment of Cancer, EORTC QLQ C-30 and CX-24). The baseline observations were recorded when the patients first reported (T1) and second evaluation was done at 6 months post treatment (T2). The mean age of detection was 50.9 years with the literacy level being non-educated or less than high school. Majority of them were married/cohabiting 179 (90.4%). On histopathological examination (HPE) squamous cell carcinoma was found to be the most common cell type carcinoma 147 (74.2%) followed by Adenocarcinoma 31 (15.7%). Radical hysterectomy was the most common treatment modality 76 (38.4%), followed by Wertheims Hysterectomy 46 (23.2%) and Radiochemotherapy 59 (29.8%). The mean score of global health of cervical cancer patients post treatment was 77.90, which was significantly higher than the pre - treatment score (54.32). Mean “symptoms score” post treatment was 21.69 with an aggravation of 7.32 compared to pre treatment scores. Patients experienced substantial decrease in sexual activity post treatment.</p></sec><sec><title>Conclusions/Significance</title><p>The prediction model(PrediQt-Cx), based on Support Vector Machine(SVM) for predicting post treatment HRQoL in cervical cancer patients was developed and internally cross validated. After external validation PrediQt-Cx can be easily employed to support decision making by clinicians and patients from north India region, through openly made available for access at <ext-link ext-link-type="uri" xlink:href="http://prediqt.org">http://prediqt.org</ext-link>.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Lozano, R" uniqKey="Lozano R">R Lozano</name></author><author><name sortKey="Naghavi, M" uniqKey="Naghavi M">M Naghavi</name></author><author><name sortKey="Foreman, K" uniqKey="Foreman K">K Foreman</name></author><author><name sortKey="Lim, S" uniqKey="Lim S">S Lim</name></author><author><name sortKey="Shibuya, K" uniqKey="Shibuya K">K Shibuya</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kurkure, Ap" uniqKey="Kurkure A">AP Kurkure</name></author><author><name sortKey="Yeole, Bb" uniqKey="Yeole B">BB 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<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><publisher><publisher-name>Public Library of Science</publisher-name><publisher-loc>San Francisco, USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">24587074</article-id><article-id pub-id-type="pmc">3935936</article-id><article-id pub-id-type="publisher-id">PONE-D-13-36911</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0089851</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Computer science</subject><subj-group><subject>Computer modeling</subject></subj-group></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine</subject><subj-group><subject>Clinical research design</subject><subj-group><subject>Modeling</subject></subj-group></subj-group><subj-group><subject>Epidemiology</subject><subj-group><subject>Cancer epidemiology</subject></subj-group></subj-group><subj-group><subject>Non-clinical medicine</subject><subj-group><subject>Health care policy</subject><subj-group><subject>Quality of life</subject></subj-group></subj-group></subj-group><subj-group><subject>Oncology</subject><subj-group><subject>Cancers and neoplasms</subject><subj-group><subject>Gynecological tumors</subject><subj-group><subject>Cervical cancer</subject></subj-group></subj-group></subj-group><subj-group><subject>Cancer treatment</subject></subj-group></subj-group></subj-group></article-categories><title-group><article-title>PrediQt-Cx: Post Treatment Health Related Quality of Life Prediction Model for Cervical Cancer Patients</article-title><alt-title alt-title-type="running-head">Quality of Life in Cervical Cancer Patients</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Kumar</surname><given-names>Satwant</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author"><name><surname>Rana</surname><given-names>Madhu Lata</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Verma</surname><given-names>Khushboo</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author"><name><surname>Singh</surname><given-names>Narayanjeet</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Sharma</surname><given-names>Anil Kumar</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Maria</surname><given-names>Arun Kumar</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Dhaliwal</surname><given-names>Gobind Singh</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Khaira</surname><given-names>Harkiran Kaur</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Saini</surname><given-names>Sunil</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Institute of Bioinformatics, Bangalore, Karnataka, India</addr-line></aff><aff id="aff2"><label>2</label><addr-line>Adesh Institute of Medical Sciences and Research, Bathinda, Punjab, India</addr-line></aff><aff id="aff3"><label>3</label><addr-line>Himalayan Institute of Medical Sciences(HIMS), Dehradun, Uttarkhand, India</addr-line></aff><aff id="aff4"><label>4</label><addr-line>Rabindra Nath Tagore Medical College, Udaipur, Rajasthan, India</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Roy</surname><given-names>Jagat Kumar</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1"><addr-line>Banaras Hindu University, India</addr-line></aff><author-notes><corresp id="cor1">* E-mail: <email>satwant@ibioinformatics.org</email></corresp><fn fn-type="conflict"><p><bold>Competing Interests: </bold>The authors have declared that no competing interests exist.</p></fn><fn fn-type="con"><p>Conceived and designed the experiments: SK MLR KV SS HKK. Performed the experiments: SK KV MLR NS AKS GSD. Analyzed the data: SK MLR AKM KV SS HKK. Contributed reagents/materials/analysis tools: SS HKK. Wrote the paper: SK KV. Designed the software used in analysis: SK.</p></fn></author-notes><pub-date pub-type="collection"><year>2014</year></pub-date><pub-date pub-type="epub"><day>26</day><month>2</month><year>2014</year></pub-date><volume>9</volume><issue>2</issue><elocation-id>e89851</elocation-id><history><date date-type="received"><day>25</day><month>8</month><year>2013</year></date><date date-type="accepted"><day>26</day><month>1</month><year>2014</year></date></history><permissions><copyright-year>2014</copyright-year><copyright-holder>Kumar et al</copyright-holder><license><license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license></permissions><abstract><sec><title>Background</title><p>Cervical cancer is the third largest cause of cancer mortality in India. The objectives of the study were to compare the pre and the post treatment quality of life in cervical cancer patients and to develop a prediction model to provide an insight into the possibilities in the treatment modules.</p></sec><sec><title>Methodology/Principal Findings</title><p>A total of 198 patients were assessed with two structured questionnaires of Health Related Quality of Life (The European Organisation for Research and Treatment of Cancer, EORTC QLQ C-30 and CX-24). The baseline observations were recorded when the patients first reported (T1) and second evaluation was done at 6 months post treatment (T2). The mean age of detection was 50.9 years with the literacy level being non-educated or less than high school. Majority of them were married/cohabiting 179 (90.4%). On histopathological examination (HPE) squamous cell carcinoma was found to be the most common cell type carcinoma 147 (74.2%) followed by Adenocarcinoma 31 (15.7%). Radical hysterectomy was the most common treatment modality 76 (38.4%), followed by Wertheims Hysterectomy 46 (23.2%) and Radiochemotherapy 59 (29.8%). The mean score of global health of cervical cancer patients post treatment was 77.90, which was significantly higher than the pre - treatment score (54.32). Mean “symptoms score” post treatment was 21.69 with an aggravation of 7.32 compared to pre treatment scores. Patients experienced substantial decrease in sexual activity post treatment.</p></sec><sec><title>Conclusions/Significance</title><p>The prediction model(PrediQt-Cx), based on Support Vector Machine(SVM) for predicting post treatment HRQoL in cervical cancer patients was developed and internally cross validated. After external validation PrediQt-Cx can be easily employed to support decision making by clinicians and patients from north India region, through openly made available for access at <ext-link ext-link-type="uri" xlink:href="http://prediqt.org">http://prediqt.org</ext-link>.</p></sec></abstract><funding-group><funding-statement>The authors have no support or funding to report.</funding-statement></funding-group><counts><page-count count="8"></page-count></counts></article-meta></front></pmc><affiliations><list><country><li>Inde</li></country></list><tree><country name="Inde"><noRegion><name sortKey="Kumar, Satwant" sort="Kumar, Satwant" uniqKey="Kumar S" first="Satwant" last="Kumar">Satwant Kumar</name></noRegion><name sortKey="Dhaliwal, Gobind Singh" sort="Dhaliwal, Gobind Singh" uniqKey="Dhaliwal G" first="Gobind Singh" last="Dhaliwal">Gobind Singh Dhaliwal</name><name sortKey="Khaira, Harkiran Kaur" sort="Khaira, Harkiran Kaur" uniqKey="Khaira H" first="Harkiran Kaur" last="Khaira">Harkiran Kaur Khaira</name><name sortKey="Kumar, Satwant" sort="Kumar, Satwant" uniqKey="Kumar S" first="Satwant" last="Kumar">Satwant Kumar</name><name sortKey="Maria, Arun Kumar" sort="Maria, Arun Kumar" uniqKey="Maria A" first="Arun Kumar" last="Maria">Arun Kumar Maria</name><name sortKey="Rana, Madhu Lata" sort="Rana, Madhu Lata" uniqKey="Rana M" first="Madhu Lata" last="Rana">Madhu Lata Rana</name><name sortKey="Rana, Madhu Lata" sort="Rana, Madhu Lata" uniqKey="Rana M" first="Madhu Lata" last="Rana">Madhu Lata Rana</name><name sortKey="Saini, Sunil" sort="Saini, Sunil" uniqKey="Saini S" first="Sunil" last="Saini">Sunil Saini</name><name sortKey="Sharma, Anil Kumar" sort="Sharma, Anil Kumar" uniqKey="Sharma A" first="Anil Kumar" last="Sharma">Anil Kumar Sharma</name><name sortKey="Singh, Narayanjeet" sort="Singh, Narayanjeet" uniqKey="Singh N" first="Narayanjeet" last="Singh">Narayanjeet Singh</name><name sortKey="Singh, Narayanjeet" sort="Singh, Narayanjeet" uniqKey="Singh N" first="Narayanjeet" last="Singh">Narayanjeet Singh</name><name sortKey="Verma, Khushboo" sort="Verma, Khushboo" uniqKey="Verma K" first="Khushboo" last="Verma">Khushboo Verma</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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