Survival analysis of treatment efficacy in comparative COVID-19 studies.
Identifieur interne : 000255 ( Main/Exploration ); précédent : 000254; suivant : 000256Survival analysis of treatment efficacy in comparative COVID-19 studies.
Auteurs : Zachary R. Mccaw [États-Unis] ; Lu Tian [États-Unis] ; Dae Hyun Kim [États-Unis] ; A Russell Localio [États-Unis] ; Lee-Jen Wei [États-Unis]Source :
- Clinical infectious diseases : an official publication of the Infectious Diseases Society of America [ 1537-6591 ] ; 2020.
Abstract
For survival analysis in comparative COVID-19 trials, the routinely used hazard ratio may not provide a meaningful summary of the treatment effect. The mean survival time difference/ratio is an intuitive, assumption-free alternative. However, for short-term studies, landmark mortality rate differences/ratios are more clinically relevant and should be formally analyzed and reported.
DOI: 10.1093/cid/ciaa1563
PubMed: 33053155
PubMed Central: PMC7665361
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Survival analysis of treatment efficacy in comparative COVID-19 studies.</title><author><name sortKey="Mccaw, Zachary R" sort="Mccaw, Zachary R" uniqKey="Mccaw Z" first="Zachary R" last="Mccaw">Zachary R. Mccaw</name><affiliation wicri:level="2"><nlm:affiliation>Google, Mountain View, CA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Google, Mountain View</wicri:cityArea></affiliation></author><author><name sortKey="Tian, Lu" sort="Tian, Lu" uniqKey="Tian L" first="Lu" last="Tian">Lu Tian</name><affiliation wicri:level="2"><nlm:affiliation>Department of Biomedical Data Science, Stanford University, Stanford, CA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Department of Biomedical Data Science, Stanford University, Stanford</wicri:cityArea></affiliation></author><author><name sortKey="Kim, Dae Hyun" sort="Kim, Dae Hyun" uniqKey="Kim D" first="Dae Hyun" last="Kim">Dae Hyun Kim</name><affiliation wicri:level="2"><nlm:affiliation>Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA</wicri:regionArea><placeName><region type="state">Massachusetts</region></placeName></affiliation></author><author><name sortKey="Localio, A Russell" sort="Localio, A Russell" uniqKey="Localio A" first="A Russell" last="Localio">A Russell Localio</name><affiliation wicri:level="2"><nlm:affiliation>Division of Biostatistics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Pennsylvanie</region></placeName><wicri:cityArea>Division of Biostatistics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia</wicri:cityArea></affiliation></author><author><name sortKey="Wei, Lee Jen" sort="Wei, Lee Jen" uniqKey="Wei L" first="Lee-Jen" last="Wei">Lee-Jen Wei</name><affiliation wicri:level="2"><nlm:affiliation>Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Massachusetts</region></placeName><wicri:cityArea>Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston</wicri:cityArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:33053155</idno><idno type="pmid">33053155</idno><idno type="doi">10.1093/cid/ciaa1563</idno><idno type="pmc">PMC7665361</idno><idno type="wicri:Area/Main/Corpus">000249</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000249</idno><idno type="wicri:Area/Main/Curation">000249</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000249</idno><idno type="wicri:Area/Main/Exploration">000249</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Survival analysis of treatment efficacy in comparative COVID-19 studies.</title><author><name sortKey="Mccaw, Zachary R" sort="Mccaw, Zachary R" uniqKey="Mccaw Z" first="Zachary R" last="Mccaw">Zachary R. Mccaw</name><affiliation wicri:level="2"><nlm:affiliation>Google, Mountain View, CA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Google, Mountain View</wicri:cityArea></affiliation></author><author><name sortKey="Tian, Lu" sort="Tian, Lu" uniqKey="Tian L" first="Lu" last="Tian">Lu Tian</name><affiliation wicri:level="2"><nlm:affiliation>Department of Biomedical Data Science, Stanford University, Stanford, CA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Department of Biomedical Data Science, Stanford University, Stanford</wicri:cityArea></affiliation></author><author><name sortKey="Kim, Dae Hyun" sort="Kim, Dae Hyun" uniqKey="Kim D" first="Dae Hyun" last="Kim">Dae Hyun Kim</name><affiliation wicri:level="2"><nlm:affiliation>Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA</wicri:regionArea><placeName><region type="state">Massachusetts</region></placeName></affiliation></author><author><name sortKey="Localio, A Russell" sort="Localio, A Russell" uniqKey="Localio A" first="A Russell" last="Localio">A Russell Localio</name><affiliation wicri:level="2"><nlm:affiliation>Division of Biostatistics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Pennsylvanie</region></placeName><wicri:cityArea>Division of Biostatistics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia</wicri:cityArea></affiliation></author><author><name sortKey="Wei, Lee Jen" sort="Wei, Lee Jen" uniqKey="Wei L" first="Lee-Jen" last="Wei">Lee-Jen Wei</name><affiliation wicri:level="2"><nlm:affiliation>Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Massachusetts</region></placeName><wicri:cityArea>Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston</wicri:cityArea></affiliation></author></analytic><series><title level="j">Clinical infectious diseases : an official publication of the Infectious Diseases Society of America</title><idno type="eISSN">1537-6591</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">For survival analysis in comparative COVID-19 trials, the routinely used hazard ratio may not provide a meaningful summary of the treatment effect. The mean survival time difference/ratio is an intuitive, assumption-free alternative. However, for short-term studies, landmark mortality rate differences/ratios are more clinically relevant and should be formally analyzed and reported.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">33053155</PMID><DateRevised><Year>2020</Year><Month>12</Month><Day>09</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1537-6591</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2020</Year><Month>Oct</Month><Day>14</Day></PubDate></JournalIssue><Title>Clinical infectious diseases : an official publication of the Infectious Diseases Society of America</Title><ISOAbbreviation>Clin Infect Dis</ISOAbbreviation></Journal><ArticleTitle>Survival analysis of treatment efficacy in comparative COVID-19 studies.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">ciaa1563</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1093/cid/ciaa1563</ELocationID><Abstract><AbstractText>For survival analysis in comparative COVID-19 trials, the routinely used hazard ratio may not provide a meaningful summary of the treatment effect. The mean survival time difference/ratio is an intuitive, assumption-free alternative. However, for short-term studies, landmark mortality rate differences/ratios are more clinically relevant and should be formally analyzed and reported.</AbstractText><CopyrightInformation>© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>McCaw</LastName><ForeName>Zachary R</ForeName><Initials>ZR</Initials><AffiliationInfo><Affiliation>Google, Mountain View, CA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tian</LastName><ForeName>Lu</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Department of Biomedical Data Science, Stanford University, Stanford, CA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kim</LastName><ForeName>Dae Hyun</ForeName><Initials>DH</Initials><AffiliationInfo><Affiliation>Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Localio</LastName><ForeName>A Russell</ForeName><Initials>AR</Initials><AffiliationInfo><Affiliation>Division of Biostatistics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wei</LastName><ForeName>Lee-Jen</ForeName><Initials>LJ</Initials><AffiliationInfo><Affiliation>Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>R21 AG060227</GrantID><Acronym>AG</Acronym><Agency>NIA NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>10</Month><Day>14</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Clin Infect Dis</MedlineTA><NlmUniqueID>9203213</NlmUniqueID><ISSNLinking>1058-4838</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>08</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>10</Month><Day>14</Day><Hour>18</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>10</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>10</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">33053155</ArticleId><ArticleId IdType="pii">5923375</ArticleId><ArticleId IdType="doi">10.1093/cid/ciaa1563</ArticleId><ArticleId IdType="pmc">PMC7665361</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>BMC Med Res Methodol. 2012 Feb 01;12:9</Citation><ArticleIdList><ArticleId IdType="pubmed">22297116</ArticleId></ArticleIdList></Reference><Reference><Citation>N Engl J Med. 2020 Oct 8;:</Citation><ArticleIdList><ArticleId IdType="pubmed">32445440</ArticleId></ArticleIdList></Reference><Reference><Citation>JAMA Cardiol. 2017 Nov 1;2(11):1179-1180</Citation><ArticleIdList><ArticleId IdType="pubmed">28877311</ArticleId></ArticleIdList></Reference><Reference><Citation>JAMA Oncol. 2017 Dec 1;3(12):1692-1696</Citation><ArticleIdList><ArticleId IdType="pubmed">28975263</ArticleId></ArticleIdList></Reference><Reference><Citation>J Clin Oncol. 2014 Aug 1;32(22):2380-5</Citation><ArticleIdList><ArticleId IdType="pubmed">24982461</ArticleId></ArticleIdList></Reference><Reference><Citation>Clin Infect Dis. 2020 Aug 21;:</Citation><ArticleIdList><ArticleId IdType="pubmed">32818962</ArticleId></ArticleIdList></Reference><Reference><Citation>N Engl J Med. 2020 Jul 17;:</Citation><ArticleIdList><ArticleId IdType="pubmed">32678530</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Californie</li><li>Massachusetts</li><li>Pennsylvanie</li></region></list><tree><country name="États-Unis"><region name="Californie"><name sortKey="Mccaw, Zachary R" sort="Mccaw, Zachary R" uniqKey="Mccaw Z" first="Zachary R" last="Mccaw">Zachary R. Mccaw</name></region><name sortKey="Kim, Dae Hyun" sort="Kim, Dae Hyun" uniqKey="Kim D" first="Dae Hyun" last="Kim">Dae Hyun Kim</name><name sortKey="Localio, A Russell" sort="Localio, A Russell" uniqKey="Localio A" first="A Russell" last="Localio">A Russell Localio</name><name sortKey="Tian, Lu" sort="Tian, Lu" uniqKey="Tian L" first="Lu" last="Tian">Lu Tian</name><name sortKey="Wei, Lee Jen" sort="Wei, Lee Jen" uniqKey="Wei L" first="Lee-Jen" last="Wei">Lee-Jen Wei</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidStanfordV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000255 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000255 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= CovidStanfordV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:33053155
|texte= Survival analysis of treatment efficacy in comparative COVID-19 studies.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:33053155" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a CovidStanfordV1
| This area was generated with Dilib version V0.6.38. |  |