The win ratio approach to analyzing composite outcomes: An application to the EVOLVE trial

Unlike conventional time-to-event analysis of composite endpoints in clinical trials, the “win ratio” method allows for flexibility in prioritizing their components. Here, we compare the EVOLVE trial findings using the win ratio with those from time-to-event analysis. Exposure: Randomization to cina...

Full description

Saved in:
Bibliographic Details
Published in:Contemporary clinical trials Vol. 48; pp. 119 - 124
Main Authors: Abdalla, Safa, Montez-Rath, Maria E., Parfrey, Patrick S., Chertow, Glenn M.
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01.05.2016
Subjects:
ISSN:1551-7144, 1559-2030, 1559-2030
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Unlike conventional time-to-event analysis of composite endpoints in clinical trials, the “win ratio” method allows for flexibility in prioritizing their components. Here, we compare the EVOLVE trial findings using the win ratio with those from time-to-event analysis. Exposure: Randomization to cinacalcet or placebo. Outcome: The primary composite endpoint combining all-cause mortality and non-fatal myocardial infarction, hospitalization for unstable angina, heart failure, and peripheral vascular events. Analysis: In an unadjusted analysis, we paired each participant from the cinacalcet arm with every participant from the placebo arm within randomization strata. Pairs were classified as “winners” or “losers,” according to which participant died first during the shared follow-up time, or experienced the next ranked event first. We ranked non-fatal events in two ways: 1) all ranked evenly; and 2) prioritized by their effect on health-related quality of life. The win ratio equaled the total winners divided by total losers. Further analyses were conducted where the win ratio was stratified by, or adjusted for, age. The unadjusted win ratio for the primary composite endpoint was 1.09 (95% CI 0.97 to 1.21), a statistically non-significant result which supports the primary trial result — unadjusted hazard ratio 0.93 (95% CI 0.85 to 1.02). Age-stratified analyses showed a nominally significant benefit of cinacalcet (win ratio 1.14, 95% CI 1.04 to 1.26). Ranking of non-fatal outcomes by their relative effects on quality of life did not materially alter the results. The win ratio method corroborated the findings of EVOLVE based on conventional time-to-event analysis. EVOLVE ClinicalTrials.gov number: NCT00345839.
AbstractList Unlike conventional time-to-event analysis of composite endpoints in clinical trials, the “win ratio” method allows for flexibility in prioritizing their components. Here, we compare the EVOLVE trial findings using the win ratio with those from time-to-event analysis. Exposure: Randomization to cinacalcet or placebo. Outcome: The primary composite endpoint combining all-cause mortality and non-fatal myocardial infarction, hospitalization for unstable angina, heart failure, and peripheral vascular events. Analysis: In an unadjusted analysis, we paired each participant from the cinacalcet arm with every participant from the placebo arm within randomization strata. Pairs were classified as “winners” or “losers,” according to which participant died first during the shared follow-up time, or experienced the next ranked event first. We ranked non-fatal events in two ways: 1) all ranked evenly; and 2) prioritized by their effect on health-related quality of life. The win ratio equaled the total winners divided by total losers. Further analyses were conducted where the win ratio was stratified by, or adjusted for, age. The unadjusted win ratio for the primary composite endpoint was 1.09 (95% CI 0.97 to 1.21), a statistically non-significant result which supports the primary trial result — unadjusted hazard ratio 0.93 (95% CI 0.85 to 1.02). Age-stratified analyses showed a nominally significant benefit of cinacalcet (win ratio 1.14, 95% CI 1.04 to 1.26). Ranking of non-fatal outcomes by their relative effects on quality of life did not materially alter the results. The win ratio method corroborated the findings of EVOLVE based on conventional time-to-event analysis. EVOLVE ClinicalTrials.gov number: NCT00345839.
Unlike conventional time-to-event analysis of composite endpoints in clinical trials, the "win ratio" method allows for flexibility in prioritizing their components. Here, we compare the EVOLVE trial findings using the win ratio with those from time-to-event analysis. Randomization to cinacalcet or placebo. The primary composite endpoint combining all-cause mortality and non-fatal myocardial infarction, hospitalization for unstable angina, heart failure, and peripheral vascular events. In an unadjusted analysis, we paired each participant from the cinacalcet arm with every participant from the placebo arm within randomization strata. Pairs were classified as "winners" or "losers," according to which participant died first during the shared follow-up time, or experienced the next ranked event first. We ranked non-fatal events in two ways: 1) all ranked evenly; and 2) prioritized by their effect on health-related quality of life. The win ratio equaled the total winners divided by total losers. Further analyses were conducted where the win ratio was stratified by, or adjusted for, age. The unadjusted win ratio for the primary composite endpoint was 1.09 (95% CI 0.97 to 1.21), a statistically non-significant result which supports the primary trial result - unadjusted hazard ratio 0.93 (95% CI 0.85 to 1.02). Age-stratified analyses showed a nominally significant benefit of cinacalcet (win ratio 1.14, 95% CI 1.04 to 1.26). Ranking of non-fatal outcomes by their relative effects on quality of life did not materially alter the results. The win ratio method corroborated the findings of EVOLVE based on conventional time-to-event analysis. EVOLVE ClinicalTrials.gov number: NCT00345839.
Abstract Background Unlike conventional time-to-event analysis of composite endpoints in clinical trials, the “win ratio” method allows for flexibility in prioritizing their components. Here, we compare the EVOLVE trial findings using the win ratio with those from time-to-event analysis. Methods Exposure : Randomization to cinacalcet or placebo. Outcome : The primary composite endpoint combining all-cause mortality and non-fatal myocardial infarction, hospitalization for unstable angina, heart failure, and peripheral vascular events. Analysis : In an unadjusted analysis, we paired each participant from the cinacalcet arm with every participant from the placebo arm within randomization strata. Pairs were classified as “winners” or “losers,” according to which participant died first during the shared follow-up time, or experienced the next ranked event first. We ranked non-fatal events in two ways: 1) all ranked evenly; and 2) prioritized by their effect on health-related quality of life. The win ratio equaled the total winners divided by total losers. Further analyses were conducted where the win ratio was stratified by, or adjusted for, age. Results The unadjusted win ratio for the primary composite endpoint was 1.09 (95% CI 0.97 to 1.21), a statistically non-significant result which supports the primary trial result — unadjusted hazard ratio 0.93 (95% CI 0.85 to 1.02). Age-stratified analyses showed a nominally significant benefit of cinacalcet (win ratio 1.14, 95% CI 1.04 to 1.26). Ranking of non-fatal outcomes by their relative effects on quality of life did not materially alter the results. Conclusion The win ratio method corroborated the findings of EVOLVE based on conventional time-to-event analysis. EVOLVE ClinicalTrials.gov number: NCT00345839.
Unlike conventional time-to-event analysis of composite endpoints in clinical trials, the "win ratio" method allows for flexibility in prioritizing their components. Here, we compare the EVOLVE trial findings using the win ratio with those from time-to-event analysis.BACKGROUNDUnlike conventional time-to-event analysis of composite endpoints in clinical trials, the "win ratio" method allows for flexibility in prioritizing their components. Here, we compare the EVOLVE trial findings using the win ratio with those from time-to-event analysis.Randomization to cinacalcet or placebo.EXPOSURERandomization to cinacalcet or placebo.The primary composite endpoint combining all-cause mortality and non-fatal myocardial infarction, hospitalization for unstable angina, heart failure, and peripheral vascular events.OUTCOMEThe primary composite endpoint combining all-cause mortality and non-fatal myocardial infarction, hospitalization for unstable angina, heart failure, and peripheral vascular events.In an unadjusted analysis, we paired each participant from the cinacalcet arm with every participant from the placebo arm within randomization strata. Pairs were classified as "winners" or "losers," according to which participant died first during the shared follow-up time, or experienced the next ranked event first. We ranked non-fatal events in two ways: 1) all ranked evenly; and 2) prioritized by their effect on health-related quality of life. The win ratio equaled the total winners divided by total losers. Further analyses were conducted where the win ratio was stratified by, or adjusted for, age.ANALYSISIn an unadjusted analysis, we paired each participant from the cinacalcet arm with every participant from the placebo arm within randomization strata. Pairs were classified as "winners" or "losers," according to which participant died first during the shared follow-up time, or experienced the next ranked event first. We ranked non-fatal events in two ways: 1) all ranked evenly; and 2) prioritized by their effect on health-related quality of life. The win ratio equaled the total winners divided by total losers. Further analyses were conducted where the win ratio was stratified by, or adjusted for, age.The unadjusted win ratio for the primary composite endpoint was 1.09 (95% CI 0.97 to 1.21), a statistically non-significant result which supports the primary trial result - unadjusted hazard ratio 0.93 (95% CI 0.85 to 1.02). Age-stratified analyses showed a nominally significant benefit of cinacalcet (win ratio 1.14, 95% CI 1.04 to 1.26). Ranking of non-fatal outcomes by their relative effects on quality of life did not materially alter the results.RESULTSThe unadjusted win ratio for the primary composite endpoint was 1.09 (95% CI 0.97 to 1.21), a statistically non-significant result which supports the primary trial result - unadjusted hazard ratio 0.93 (95% CI 0.85 to 1.02). Age-stratified analyses showed a nominally significant benefit of cinacalcet (win ratio 1.14, 95% CI 1.04 to 1.26). Ranking of non-fatal outcomes by their relative effects on quality of life did not materially alter the results.The win ratio method corroborated the findings of EVOLVE based on conventional time-to-event analysis. EVOLVE ClinicalTrials.gov number: NCT00345839.CONCLUSIONThe win ratio method corroborated the findings of EVOLVE based on conventional time-to-event analysis. EVOLVE ClinicalTrials.gov number: NCT00345839.
Author Abdalla, Safa
Parfrey, Patrick S.
Montez-Rath, Maria E.
Chertow, Glenn M.
Author_xml – sequence: 1
  givenname: Safa
  surname: Abdalla
  fullname: Abdalla, Safa
  email: sabdalla@stanford.edu, safa.abdalla@gmail.com
  organization: Stanford University School of Medicine, Palo Alto, CA, USA
– sequence: 2
  givenname: Maria E.
  surname: Montez-Rath
  fullname: Montez-Rath, Maria E.
  organization: Stanford University School of Medicine, Palo Alto, CA, USA
– sequence: 3
  givenname: Patrick S.
  surname: Parfrey
  fullname: Parfrey, Patrick S.
  organization: Health Sciences Center St. John's, Newfoundland, Canada
– sequence: 4
  givenname: Glenn M.
  surname: Chertow
  fullname: Chertow, Glenn M.
  organization: Stanford University School of Medicine, Palo Alto, CA, USA
BackLink https://www.ncbi.nlm.nih.gov/pubmed/27080930$$D View this record in MEDLINE/PubMed
BookMark eNqFkk1v1DAQhi1URD_gB3BBOXJJGDt2EoOEVFXLh7RSD5QeuFiOM6FesvZiO6Dl1-N020slyslj6Xlfz7zjU3LkvENCXlKoKNDmzaYyJlUslxXwCoA-ISdUCFkyqOHotqZlSzk_JqcxbgDqRjTiGTlmLXQgazgh365usPhtXRF0sr7Qu13w2twUKddOT_s_1n0vjN_ufLQJCz-nfMH4tjh3CzxZs-jcwqfstLq-XF-vihSsnp6Tp6OeIr64O8_I1w-rq4tP5fry4-eL83VpBOOplLxvRqbbpjU9l93ADHLW5AYZY4OkXFMmBcpODwJ6IeoGcRxF32nZm1oyrM_I64Nvbv3njDGprY0Gp0k79HNUtJWsbWkNLKOv7tC53-KgdsFuddir-zwy0B4AE3yMAUdlbLqdMAVtJ0VBLcmrjcrJqyV5BVzl5LOSPlDemz-meXfQYI7nl8WgorHoDA42YGYHbx9Vv3-gNpN1eSHTD9xj3Pg55A3m-VVkCtSX5Tcsn4E2NQDvZDaQ_zb4z-N_AUFlwhc
CitedBy_id crossref_primary_10_1016_j_jclinepi_2018_02_001
crossref_primary_10_1093_eurheartj_ehaa665
crossref_primary_10_1080_10543406_2023_2280628
crossref_primary_10_1080_19466315_2019_1575279
crossref_primary_10_1007_s11749_017_0565_z
crossref_primary_10_1080_10543406_2020_1730873
crossref_primary_10_1002_sim_8967
crossref_primary_10_1177_1740774519868233
crossref_primary_10_1161_CIRCOUTCOMES_123_010561
crossref_primary_10_1177_09622802221084134
crossref_primary_10_1016_j_jacc_2023_06_047
crossref_primary_10_1016_j_surg_2022_07_024
crossref_primary_10_1080_19466315_2024_2332675
crossref_primary_10_1080_10543406_2023_2210658
crossref_primary_10_1245_s10434_024_14985_8
crossref_primary_10_1177_17407745241259356
crossref_primary_10_1080_10543406_2017_1397007
crossref_primary_10_1080_10543406_2023_2170393
crossref_primary_10_1080_19466315_2022_2050289
crossref_primary_10_1002_pst_2248
crossref_primary_10_1080_19466315_2021_1927824
crossref_primary_10_1002_sim_7284
crossref_primary_10_1007_s12561_020_09273_4
Cites_doi 10.1136/bmj.39136.682083.AE
10.1053/j.ajkd.2013.10.043
10.1056/NEJMoa1205624
10.1001/jama.289.19.2554
10.1002/sim.3923
10.1080/01621459.1989.10478873
10.1016/j.ahj.2012.07.002
10.1136/bmj.330.7491.594
10.2215/CJN.07730814
10.1016/j.ahj.2010.12.026
10.1002/(SICI)1097-0258(19990615)18:11<1341::AID-SIM129>3.0.CO;2-7
10.1177/0272989X16638312
10.2215/CJN.04381206
10.1093/ndt/gfr777
10.4330/wjc.v7.i1.1
10.1093/eurheartj/ehr352
10.2307/2531158
10.1016/j.ahj.2011.01.023
ContentType Journal Article
Copyright 2016 Elsevier Inc.
Copyright © 2016 Elsevier Inc. All rights reserved.
Copyright_xml – notice: 2016 Elsevier Inc.
– notice: Copyright © 2016 Elsevier Inc. All rights reserved.
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
DOI 10.1016/j.cct.2016.04.001
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList

MEDLINE

MEDLINE - Academic
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: 7X8
  name: MEDLINE - Academic
  url: https://search.proquest.com/medline
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1559-2030
EndPage 124
ExternalDocumentID 27080930
10_1016_j_cct_2016_04_001
S1551714416300489
1_s2_0_S1551714416300489
Genre Journal Article
GroupedDBID ---
--K
--M
.1-
.FO
.GJ
.~1
0R~
1B1
1P~
1~.
1~5
4.4
457
4G.
53G
5GY
5VS
7-5
71M
8P~
AAEDT
AAEDW
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AATTM
AAXKI
AAXUO
AAYWO
ABBQC
ABFNM
ABJNI
ABLJU
ABMAC
ABMZM
ABWVN
ABXDB
ACDAQ
ACGFS
ACIEU
ACIUM
ACLOT
ACRLP
ACRPL
ACVFH
ADBBV
ADCNI
ADEZE
ADMUD
ADNMO
AEBSH
AEIPS
AEKER
AENEX
AEUPX
AEVXI
AFJKZ
AFPUW
AFRHN
AFTJW
AFXIZ
AGHFR
AGUBO
AGYEJ
AIEXJ
AIGII
AIIUN
AIKHN
AITUG
AJRQY
AJUYK
AKBMS
AKRWK
AKYEP
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
ANKPU
ANZVX
APXCP
AXJTR
BKOJK
BLXMC
BNPGV
CS3
DU5
EBS
EFJIC
EFKBS
EFLBG
EJD
EO8
EO9
EP2
EP3
F5P
FDB
FEDTE
FIRID
FNPLU
FYGXN
G-Q
GBLVA
HVGLF
HZ~
IHE
J1W
KOM
M41
MO0
N9A
O-L
O9-
OAUVE
OA~
OL0
OZT
P-8
P-9
PC.
Q38
ROL
RPZ
SCC
SDF
SDG
SEL
SES
SEW
SPCBC
SSH
SSZ
T5K
UAP
Z5R
~G-
~HD
AACTN
AFCTW
AFKWA
AJOXV
AMFUW
RIG
AAIAV
ABLVK
ABYKQ
AJBFU
LCYCR
9DU
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
ID FETCH-LOGICAL-c524t-94b6f2a767cb498d2ce426708222d914a1295e98ad50b5536eeff5b8a9bc392e3
ISICitedReferencesCount 22
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000378458900016&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1551-7144
1559-2030
IngestDate Sun Sep 28 07:15:46 EDT 2025
Wed Feb 19 02:41:54 EST 2025
Sat Nov 29 06:24:59 EST 2025
Tue Nov 18 22:35:03 EST 2025
Fri Feb 23 02:24:20 EST 2024
Tue Feb 25 19:56:11 EST 2025
Tue Oct 14 19:34:57 EDT 2025
IsPeerReviewed true
IsScholarly true
Keywords Cinacalcet
EVOLVE trial
Composite endpoints
Win ratio
Language English
License Copyright © 2016 Elsevier Inc. All rights reserved.
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c524t-94b6f2a767cb498d2ce426708222d914a1295e98ad50b5536eeff5b8a9bc392e3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
PMID 27080930
PQID 1792771302
PQPubID 23479
PageCount 6
ParticipantIDs proquest_miscellaneous_1792771302
pubmed_primary_27080930
crossref_citationtrail_10_1016_j_cct_2016_04_001
crossref_primary_10_1016_j_cct_2016_04_001
elsevier_sciencedirect_doi_10_1016_j_cct_2016_04_001
elsevier_clinicalkeyesjournals_1_s2_0_S1551714416300489
elsevier_clinicalkey_doi_10_1016_j_cct_2016_04_001
PublicationCentury 2000
PublicationDate 2016-05-01
PublicationDateYYYYMMDD 2016-05-01
PublicationDate_xml – month: 05
  year: 2016
  text: 2016-05-01
  day: 01
PublicationDecade 2010
PublicationPlace United States
PublicationPlace_xml – name: United States
PublicationTitle Contemporary clinical trials
PublicationTitleAlternate Contemp Clin Trials
PublicationYear 2016
Publisher Elsevier Inc
Publisher_xml – name: Elsevier Inc
References Wei, Lin, Weissfeld (bb0070) 1989; 84
Subherwal, Anstrom, Jones, Felker, Misra, Conte (bb0050) 2012; 164
Chertow, Pupim, Block, Correa-Rotter, Drueke, Floege (bb0055) 2007; 2
Chertow, Block, Correa-Rotter, Drueke, Floege, Goodman (bb0065) 2012; 367
Finkelstein, Schoenfeld (bb0075) 1999; 18
Freemantle, Calvert, Wood, Eastaugh, Griffin (bb0015) 2003; 289
Rauch, Rauch, Schüler, Kieser (bb0040) 2015; 7
Montori, Permanyer-Miralda, Ferreira-Gonzalez, Busse, Pacheco-Huergo, Bryant (bb0010) 2005; 330
Ferreira-González, Permanyer-Miralda, Domingo-Salvany, Busse, Heels-Ansdell, Montori (bb0020) 2007; 334
Kosanske, Bergstrahl (bb0090) 2004
O'Brien (bb0030) 1984; 40
Parfrey, Drüeke, Block, Correa-Rotter, Floege, Herzog (bb0085) 2015; 10
Inrig, Califf, Tasneem, Vegunta, Molina, Stanifer (bb0005) 2014; 63
Buyse (bb0035) 2010; 29
Pocock, Ariti, Collier, Wang (bb0045) 2012; 33
Anstrom, Eisenstein (bb0095) 2011; 161
Chertow, Correa-Rotter, Block, Drueke, Floege, Goodman (bb0060) 2012; 27
Armstrong, Westerhout, Van de Werf, Califf, Welsh, Wilcox (bb0025) 2011; 161
Briggs, Parfrey, Khan, Tseng, Dehmel, Kubo (bb9000) 2016
Montori (10.1016/j.cct.2016.04.001_bb0010) 2005; 330
Freemantle (10.1016/j.cct.2016.04.001_bb0015) 2003; 289
Ferreira-González (10.1016/j.cct.2016.04.001_bb0020) 2007; 334
Chertow (10.1016/j.cct.2016.04.001_bb0055) 2007; 2
Inrig (10.1016/j.cct.2016.04.001_bb0005) 2014; 63
Armstrong (10.1016/j.cct.2016.04.001_bb0025) 2011; 161
Buyse (10.1016/j.cct.2016.04.001_bb0035) 2010; 29
Anstrom (10.1016/j.cct.2016.04.001_bb0095) 2011; 161
O'Brien (10.1016/j.cct.2016.04.001_bb0030) 1984; 40
Chertow (10.1016/j.cct.2016.04.001_bb0065) 2012; 367
Chertow (10.1016/j.cct.2016.04.001_bb0060) 2012; 27
Kosanske (10.1016/j.cct.2016.04.001_bb0090) 2004
Rauch (10.1016/j.cct.2016.04.001_bb0040) 2015; 7
Briggs (10.1016/j.cct.2016.04.001_bb9000) 2016
Wei (10.1016/j.cct.2016.04.001_bb0070) 1989; 84
Finkelstein (10.1016/j.cct.2016.04.001_bb0075) 1999; 18
Pocock (10.1016/j.cct.2016.04.001_bb0045) 2012; 33
Subherwal (10.1016/j.cct.2016.04.001_bb0050) 2012; 164
Parfrey (10.1016/j.cct.2016.04.001_bb0085) 2015; 10
References_xml – volume: 40
  start-page: 1079
  year: 1984
  end-page: 1087
  ident: bb0030
  article-title: Procedures for comparing samples with multiple endpoints
  publication-title: Biometrics
– volume: 63
  start-page: 771
  year: 2014
  end-page: 780
  ident: bb0005
  article-title: The landscape of clinical trials in nephrology: a systematic review of Clinicaltrials.gov
  publication-title: Am. J. Kidney Dis.: Off. J. Natl. Kidney Found.
– volume: 33
  start-page: 176
  year: 2012
  end-page: 182
  ident: bb0045
  article-title: The win ratio: a new approach to the analysis of composite endpoints in clinical trials based on clinical priorities
  publication-title: Eur. Heart J.
– volume: 2
  start-page: 898
  year: 2007
  end-page: 905
  ident: bb0055
  article-title: Evaluation of Cinacalcet Therapy to Lower Cardiovascular Events (EVOLVE): rationale and design overview
  publication-title: Clin. J. Am. Soc. Nephrol.: CJASN
– volume: 84
  start-page: 1065
  year: 1989
  end-page: 1073
  ident: bb0070
  article-title: Regression analysis of multivariate incomplete failure time data by modeling marginal distributions
  publication-title: J. Am. Stat. Assoc.
– volume: 330
  start-page: 594
  year: 2005
  end-page: 596
  ident: bb0010
  article-title: Validity of composite end points in clinical trials
  publication-title: BMJ
– volume: 27
  start-page: 2872
  year: 2012
  end-page: 2879
  ident: bb0060
  article-title: Baseline characteristics of subjects enrolled in the Evaluation of Cinacalcet HCl Therapy to Lower Cardiovascular Events (EVOLVE) trial
  publication-title: Nephrol. Dial. Transplant.: Off. Publ. Eur. Dial. Transplant Assoc.- Eur. Ren. Assoc.
– volume: 29
  start-page: 3245
  year: 2010
  end-page: 3257
  ident: bb0035
  article-title: Generalized pairwise comparisons of prioritized outcomes in the two-sample problem
  publication-title: Stat. Med.
– volume: 164
  start-page: 277
  year: 2012
  end-page: 284
  ident: bb0050
  article-title: Use of alternative methodologies for evaluation of composite end points in trials of therapies for critical limb ischemia
  publication-title: Am. Heart J.
– volume: 7
  start-page: 1
  year: 2015
  end-page: 5
  ident: bb0040
  article-title: Opportunities and challenges of clinical trials in cardiology using composite primary endpoints
  publication-title: World J. Cardiol.
– volume: 18
  start-page: 1341
  year: 1999
  end-page: 1354
  ident: bb0075
  article-title: Combining mortality and longitudinal measures in clinical trials
  publication-title: Stat. Med.
– volume: 367
  start-page: 2482
  year: 2012
  end-page: 2494
  ident: bb0065
  article-title: Effect of cinacalcet on cardiovascular disease in patients undergoing dialysis
  publication-title: N. Engl. J. Med.
– volume: 334
  start-page: 786
  year: 2007
  ident: bb0020
  article-title: Problems with use of composite end points in cardiovascular trials: systematic review of randomised controlled trials
  publication-title: BMJ
– year: 2004
  ident: bb0090
  article-title: Macro for greedy Matching Algorithm
– volume: 10
  start-page: 791
  year: 2015
  end-page: 799
  ident: bb0085
  article-title: The effects of cinacalcet in older and younger patients on hemodialysis: the Evaluation of Cinacalcet HCl Therapy to Lower Cardiovascular Events (EVOLVE) trial
  publication-title: Clin. J. Am. Soc. Nephrol.: CJASN
– volume: 289
  start-page: 2554
  year: 2003
  end-page: 2559
  ident: bb0015
  article-title: Composite outcomes in randomized trials: greater precision but with greater uncertainty?
  publication-title: J. Am. Med. Assoc.
– year: 2016
  ident: bb9000
  article-title: Analyzing Health-Related Quality of Life in the EVOLVE trial: the joint impact of treatment and clinical events
  publication-title: Med. Decis. Making
– volume: 161
  start-page: 805
  year: 2011
  end-page: 806
  ident: bb0095
  article-title: From batting average to wins above replacement to composite end points—refining clinical research using baseball statistical methods
  publication-title: Am. Heart J.
– volume: 161
  start-page: 848
  year: 2011
  end-page: 854
  ident: bb0025
  article-title: Refining clinical trial composite outcomes: an application to the Assessment of the Safety and Efficacy of a New Thrombolytic-3 (ASSENT-3) trial
  publication-title: Am. Heart J.
– volume: 334
  start-page: 786
  issue: 7597
  year: 2007
  ident: 10.1016/j.cct.2016.04.001_bb0020
  article-title: Problems with use of composite end points in cardiovascular trials: systematic review of randomised controlled trials
  publication-title: BMJ
  doi: 10.1136/bmj.39136.682083.AE
– volume: 63
  start-page: 771
  issue: 5
  year: 2014
  ident: 10.1016/j.cct.2016.04.001_bb0005
  article-title: The landscape of clinical trials in nephrology: a systematic review of Clinicaltrials.gov
  publication-title: Am. J. Kidney Dis.: Off. J. Natl. Kidney Found.
  doi: 10.1053/j.ajkd.2013.10.043
– year: 2004
  ident: 10.1016/j.cct.2016.04.001_bb0090
– volume: 367
  start-page: 2482
  issue: 26
  year: 2012
  ident: 10.1016/j.cct.2016.04.001_bb0065
  article-title: Effect of cinacalcet on cardiovascular disease in patients undergoing dialysis
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMoa1205624
– volume: 289
  start-page: 2554
  issue: 19
  year: 2003
  ident: 10.1016/j.cct.2016.04.001_bb0015
  article-title: Composite outcomes in randomized trials: greater precision but with greater uncertainty?
  publication-title: J. Am. Med. Assoc.
  doi: 10.1001/jama.289.19.2554
– volume: 29
  start-page: 3245
  issue: 30
  year: 2010
  ident: 10.1016/j.cct.2016.04.001_bb0035
  article-title: Generalized pairwise comparisons of prioritized outcomes in the two-sample problem
  publication-title: Stat. Med.
  doi: 10.1002/sim.3923
– volume: 84
  start-page: 1065
  issue: 408
  year: 1989
  ident: 10.1016/j.cct.2016.04.001_bb0070
  article-title: Regression analysis of multivariate incomplete failure time data by modeling marginal distributions
  publication-title: J. Am. Stat. Assoc.
  doi: 10.1080/01621459.1989.10478873
– volume: 164
  start-page: 277
  issue: 3
  year: 2012
  ident: 10.1016/j.cct.2016.04.001_bb0050
  article-title: Use of alternative methodologies for evaluation of composite end points in trials of therapies for critical limb ischemia
  publication-title: Am. Heart J.
  doi: 10.1016/j.ahj.2012.07.002
– volume: 330
  start-page: 594
  issue: 7491
  year: 2005
  ident: 10.1016/j.cct.2016.04.001_bb0010
  article-title: Validity of composite end points in clinical trials
  publication-title: BMJ
  doi: 10.1136/bmj.330.7491.594
– volume: 10
  start-page: 791
  issue: 5
  year: 2015
  ident: 10.1016/j.cct.2016.04.001_bb0085
  article-title: The effects of cinacalcet in older and younger patients on hemodialysis: the Evaluation of Cinacalcet HCl Therapy to Lower Cardiovascular Events (EVOLVE) trial
  publication-title: Clin. J. Am. Soc. Nephrol.: CJASN
  doi: 10.2215/CJN.07730814
– volume: 161
  start-page: 848
  issue: 5
  year: 2011
  ident: 10.1016/j.cct.2016.04.001_bb0025
  article-title: Refining clinical trial composite outcomes: an application to the Assessment of the Safety and Efficacy of a New Thrombolytic-3 (ASSENT-3) trial
  publication-title: Am. Heart J.
  doi: 10.1016/j.ahj.2010.12.026
– volume: 18
  start-page: 1341
  issue: 11
  year: 1999
  ident: 10.1016/j.cct.2016.04.001_bb0075
  article-title: Combining mortality and longitudinal measures in clinical trials
  publication-title: Stat. Med.
  doi: 10.1002/(SICI)1097-0258(19990615)18:11<1341::AID-SIM129>3.0.CO;2-7
– year: 2016
  ident: 10.1016/j.cct.2016.04.001_bb9000
  article-title: Analyzing Health-Related Quality of Life in the EVOLVE trial: the joint impact of treatment and clinical events
  publication-title: Med. Decis. Making
  doi: 10.1177/0272989X16638312
– volume: 2
  start-page: 898
  issue: 5
  year: 2007
  ident: 10.1016/j.cct.2016.04.001_bb0055
  article-title: Evaluation of Cinacalcet Therapy to Lower Cardiovascular Events (EVOLVE): rationale and design overview
  publication-title: Clin. J. Am. Soc. Nephrol.: CJASN
  doi: 10.2215/CJN.04381206
– volume: 27
  start-page: 2872
  issue: 7
  year: 2012
  ident: 10.1016/j.cct.2016.04.001_bb0060
  article-title: Baseline characteristics of subjects enrolled in the Evaluation of Cinacalcet HCl Therapy to Lower Cardiovascular Events (EVOLVE) trial
  publication-title: Nephrol. Dial. Transplant.: Off. Publ. Eur. Dial. Transplant Assoc.- Eur. Ren. Assoc.
  doi: 10.1093/ndt/gfr777
– volume: 7
  start-page: 1
  issue: 1
  year: 2015
  ident: 10.1016/j.cct.2016.04.001_bb0040
  article-title: Opportunities and challenges of clinical trials in cardiology using composite primary endpoints
  publication-title: World J. Cardiol.
  doi: 10.4330/wjc.v7.i1.1
– volume: 33
  start-page: 176
  issue: 2
  year: 2012
  ident: 10.1016/j.cct.2016.04.001_bb0045
  article-title: The win ratio: a new approach to the analysis of composite endpoints in clinical trials based on clinical priorities
  publication-title: Eur. Heart J.
  doi: 10.1093/eurheartj/ehr352
– volume: 40
  start-page: 1079
  issue: 4
  year: 1984
  ident: 10.1016/j.cct.2016.04.001_bb0030
  article-title: Procedures for comparing samples with multiple endpoints
  publication-title: Biometrics
  doi: 10.2307/2531158
– volume: 161
  start-page: 805
  issue: 5
  year: 2011
  ident: 10.1016/j.cct.2016.04.001_bb0095
  article-title: From batting average to wins above replacement to composite end points—refining clinical research using baseball statistical methods
  publication-title: Am. Heart J.
  doi: 10.1016/j.ahj.2011.01.023
SSID ssj0036565
Score 2.1978402
Snippet Unlike conventional time-to-event analysis of composite endpoints in clinical trials, the “win ratio” method allows for flexibility in prioritizing their...
Abstract Background Unlike conventional time-to-event analysis of composite endpoints in clinical trials, the “win ratio” method allows for flexibility in...
Unlike conventional time-to-event analysis of composite endpoints in clinical trials, the "win ratio" method allows for flexibility in prioritizing their...
SourceID proquest
pubmed
crossref
elsevier
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 119
SubjectTerms Aged
Angina, Unstable - epidemiology
Calcimimetic Agents - therapeutic use
Cardiovascular
Cause of Death
Cinacalcet
Cinacalcet Hydrochloride - therapeutic use
Composite endpoints
EVOLVE trial
Female
Heart Failure - epidemiology
Hematology, Oncology and Palliative Medicine
Hospitalization - statistics & numerical data
Humans
Kidney Failure, Chronic - drug therapy
Male
Middle Aged
Mortality
Myocardial Infarction - epidemiology
Peripheral Vascular Diseases - epidemiology
Proportional Hazards Models
Randomized Controlled Trials as Topic
Treatment Outcome
Win ratio
Title The win ratio approach to analyzing composite outcomes: An application to the EVOLVE trial
URI https://www.clinicalkey.com/#!/content/1-s2.0-S1551714416300489
https://www.clinicalkey.es/playcontent/1-s2.0-S1551714416300489
https://dx.doi.org/10.1016/j.cct.2016.04.001
https://www.ncbi.nlm.nih.gov/pubmed/27080930
https://www.proquest.com/docview/1792771302
Volume 48
WOSCitedRecordID wos000378458900016&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVESC
  databaseName: ScienceDirect database
  customDbUrl:
  eissn: 1559-2030
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0036565
  issn: 1551-7144
  databaseCode: AIEXJ
  dateStart: 20050201
  isFulltext: true
  titleUrlDefault: https://www.sciencedirect.com
  providerName: Elsevier
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLa6DSFeENdRLpOReCJKlTh2HPNWTeUmOhAbU8WL5SSOxJjSqU3HtF_DT-U4ttOWsXGReInS1K5dn88-X3wuRugZ09C9VGVhqlgZ0oSUoRIRDUlhzEJRrEtmD5vge3vZZCI-9HrffSzM6TGv6-zsTJz8V1HDMxC2CZ39C3F3PwoP4B6EDlcQO1z_WPDfTJSKGfMuZ7jhmMokIDl3Ubatt5YOposGPljHuGEdrNizPSsdHb5_dzgK2uM9VqnsWl6rLsCyLdbx9GFemo16u_VcdRpgbKqehx-V3dQZw_u6CkaDpTlrZqLLLME1Jwh8Dfa7L3cBZI01SL0CjVkH48HqzkWcLv0E7XaaD6lZ8_g0FC7ksU0KOdD-mQAZOwOOW7Ztgk637sZu3bUqPLZh2Re0g92oOBoUhfGijdM2ya3r0XrS7X3TDdOLuE1JlokNtEU4E7Bubg3fjCZvvbZPgA-zNiev67a3nLc-hD81dBn3uezdpuU4B7fQTfdygocWVLdRT9d30PWxc7-4iz4DtjBgC7fYwh5buIF7jy3cYQt7bL3AwxqvIMuUB2RhiyzcQuYe-vRydLD7OnSHc4QFI7QJBc3Tiiie8iKnIitJoYHs8faA-FLEVAGRZFpkqmRRzliSal1VLM-UyAvg5Dq5jzbraa0fIAzrCBXU5EFSlCZ5mpUF4bFQUZ7mnNGqjyI_bLJwmevNASrH0rsoHkkYaWlGWkbUuGn20fOuyolN23JVYeJlIf10AQ0qATZXVeK_qqTnbimYy1jOiYzkBSj1Ee1qOppr6evvGnzqYSJBBRi7nqr1dAENcUE4Nx4IfbRt8dP9aQISiUQSPfy3Rh-hG8uZ-xhtNrOFfoKuFafNl_lsB23wSbbjZsQPRDbd2A
linkProvider Elsevier
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+win+ratio+approach+to+analyzing+composite+outcomes%3A+An+application+to+the+EVOLVE+trial&rft.jtitle=Contemporary+clinical+trials&rft.au=Abdalla%2C+Safa&rft.au=Montez-Rath%2C+Maria+E.&rft.au=Parfrey%2C+Patrick+S.&rft.au=Chertow%2C+Glenn+M.&rft.date=2016-05-01&rft.pub=Elsevier+Inc&rft.issn=1551-7144&rft.eissn=1559-2030&rft.volume=48&rft.spage=119&rft.epage=124&rft_id=info:doi/10.1016%2Fj.cct.2016.04.001&rft.externalDocID=S1551714416300489
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1551-7144&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1551-7144&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1551-7144&client=summon