Methods used to assess outcome consistency in clinical studies: A literature-based evaluation
Evaluation studies of outcomes used in clinical research and their consistency are appearing more frequently in the literature, as a key part of the core outcome set (COS) development. Current guidance suggests such evaluation studies should use systematic review methodology as their default. We aim...
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Published in | PloS one Vol. 15; no. 7; p. e0235485 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
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Public Library of Science
08.07.2020
Public Library of Science (PLoS) |
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Online Access | Get full text |
ISSN | 1932-6203 1932-6203 |
DOI | 10.1371/journal.pone.0235485 |
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Abstract | Evaluation studies of outcomes used in clinical research and their consistency are appearing more frequently in the literature, as a key part of the core outcome set (COS) development. Current guidance suggests such evaluation studies should use systematic review methodology as their default. We aimed to examine the methods used. We searched the Core Outcome Measures in Effectiveness Trials (COMET) database (up to May 2019) supplementing it with additional resources. We included evaluation studies of outcome consistency in clinical studies across health subjects and used a subset of A MeaSurement Tool to Assess systematic Reviews (AMSTAR) 2 (items 1-9) to assess their methods. Of 93 included evaluation studies of outcome consistency (90 full reports, three summaries), 91% (85/93) reported performing literature searches in at least one bibliographic database, and 79% (73/93) was labelled as a "systematic review". The evaluations varied in terms of satisfying AMSTAR 2 criteria, such that 81/93 (87%) had implemented PICO in the research question, whereas only 5/93 (6%) had included the exclusions list. None of the evaluation studies explained how inconsistency of outcomes was detected, however, 80/90 (88%) concluded inconsistency in individual outcomes (66%, 55/90) or outcome domains (20%, 18/90). Methods used in evaluation studies of outcome consistency in clinical studies differed considerably. Despite frequent being labelled as a "systematic review", adoption of systematic review methodology is selective. While the impact on COS development is unknown, authors of these studies should refrain from labelling them as "systematic review" and focus on ensuring that the methods used to generate the different outcomes and outcome domains are reported transparently. |
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AbstractList | Evaluation studies of outcomes used in clinical research and their consistency are appearing more frequently in the literature, as a key part of the core outcome set (COS) development. Current guidance suggests such evaluation studies should use systematic review methodology as their default. We aimed to examine the methods used. We searched the Core Outcome Measures in Effectiveness Trials (COMET) database (up to May 2019) supplementing it with additional resources. We included evaluation studies of outcome consistency in clinical studies across health subjects and used a subset of A MeaSurement Tool to Assess systematic Reviews (AMSTAR) 2 (items 1-9) to assess their methods. Of 93 included evaluation studies of outcome consistency (90 full reports, three summaries), 91% (85/93) reported performing literature searches in at least one bibliographic database, and 79% (73/93) was labelled as a "systematic review". The evaluations varied in terms of satisfying AMSTAR 2 criteria, such that 81/93 (87%) had implemented PICO in the research question, whereas only 5/93 (6%) had included the exclusions list. None of the evaluation studies explained how inconsistency of outcomes was detected, however, 80/90 (88%) concluded inconsistency in individual outcomes (66%, 55/90) or outcome domains (20%, 18/90). Methods used in evaluation studies of outcome consistency in clinical studies differed considerably. Despite frequent being labelled as a "systematic review", adoption of systematic review methodology is selective. While the impact on COS development is unknown, authors of these studies should refrain from labelling them as "systematic review" and focus on ensuring that the methods used to generate the different outcomes and outcome domains are reported transparently. Evaluation studies of outcomes used in clinical research and their consistency are appearing more frequently in the literature, as a key part of the core outcome set (COS) development. Current guidance suggests such evaluation studies should use systematic review methodology as their default. We aimed to examine the methods used. We searched the Core Outcome Measures in Effectiveness Trials (COMET) database (up to May 2019) supplementing it with additional resources. We included evaluation studies of outcome consistency in clinical studies across health subjects and used a subset of A MeaSurement Tool to Assess systematic Reviews (AMSTAR) 2 (items 1-9) to assess their methods. Of 93 included evaluation studies of outcome consistency (90 full reports, three summaries), 91% (85/93) reported performing literature searches in at least one bibliographic database, and 79% (73/93) was labelled as a "systematic review". The evaluations varied in terms of satisfying AMSTAR 2 criteria, such that 81/93 (87%) had implemented PICO in the research question, whereas only 5/93 (6%) had included the exclusions list. None of the evaluation studies explained how inconsistency of outcomes was detected, however, 80/90 (88%) concluded inconsistency in individual outcomes (66%, 55/90) or outcome domains (20%, 18/90). Methods used in evaluation studies of outcome consistency in clinical studies differed considerably. Despite frequent being labelled as a "systematic review", adoption of systematic review methodology is selective. While the impact on COS development is unknown, authors of these studies should refrain from labelling them as "systematic review" and focus on ensuring that the methods used to generate the different outcomes and outcome domains are reported transparently.Evaluation studies of outcomes used in clinical research and their consistency are appearing more frequently in the literature, as a key part of the core outcome set (COS) development. Current guidance suggests such evaluation studies should use systematic review methodology as their default. We aimed to examine the methods used. We searched the Core Outcome Measures in Effectiveness Trials (COMET) database (up to May 2019) supplementing it with additional resources. We included evaluation studies of outcome consistency in clinical studies across health subjects and used a subset of A MeaSurement Tool to Assess systematic Reviews (AMSTAR) 2 (items 1-9) to assess their methods. Of 93 included evaluation studies of outcome consistency (90 full reports, three summaries), 91% (85/93) reported performing literature searches in at least one bibliographic database, and 79% (73/93) was labelled as a "systematic review". The evaluations varied in terms of satisfying AMSTAR 2 criteria, such that 81/93 (87%) had implemented PICO in the research question, whereas only 5/93 (6%) had included the exclusions list. None of the evaluation studies explained how inconsistency of outcomes was detected, however, 80/90 (88%) concluded inconsistency in individual outcomes (66%, 55/90) or outcome domains (20%, 18/90). Methods used in evaluation studies of outcome consistency in clinical studies differed considerably. Despite frequent being labelled as a "systematic review", adoption of systematic review methodology is selective. While the impact on COS development is unknown, authors of these studies should refrain from labelling them as "systematic review" and focus on ensuring that the methods used to generate the different outcomes and outcome domains are reported transparently. |
Audience | Academic |
Author | Asour, Amani Olmedo-Requena, Rocío Gargon, Elizabeth Vale, Claire L. Cooper, Natalie A. M. van’t Hooft, Janneke Rogozińska, Ewelina |
AuthorAffiliation | 2 Women’s Health Research Unit, Queen Mary University of London, London, England, United Kingdom 5 Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain 3 Department of Biostatistics, University of Liverpool, Liverpool, England, United Kingdom 6 Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain 7 Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, United States of America 4 Department of Preventive Medicine and Public Health, School of Medicine, University of Granada, Granada, Spain 1 Meta-Analysis Group, Institute of Clinical Trials and Methodology, MRC Clinical Trials Unit at UCL, London, England, United Kingdom Universitat Witten/Herdecke, GERMANY |
AuthorAffiliation_xml | – name: 3 Department of Biostatistics, University of Liverpool, Liverpool, England, United Kingdom – name: 1 Meta-Analysis Group, Institute of Clinical Trials and Methodology, MRC Clinical Trials Unit at UCL, London, England, United Kingdom – name: 5 Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain – name: 2 Women’s Health Research Unit, Queen Mary University of London, London, England, United Kingdom – name: 6 Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain – name: 7 Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, United States of America – name: 4 Department of Preventive Medicine and Public Health, School of Medicine, University of Granada, Granada, Spain – name: Universitat Witten/Herdecke, GERMANY |
Author_xml | – sequence: 1 givenname: Ewelina orcidid: 0000-0003-3455-0644 surname: Rogozińska fullname: Rogozińska, Ewelina – sequence: 2 givenname: Elizabeth surname: Gargon fullname: Gargon, Elizabeth – sequence: 3 givenname: Rocío surname: Olmedo-Requena fullname: Olmedo-Requena, Rocío – sequence: 4 givenname: Amani surname: Asour fullname: Asour, Amani – sequence: 5 givenname: Natalie A. M. surname: Cooper fullname: Cooper, Natalie A. M. – sequence: 6 givenname: Claire L. surname: Vale fullname: Vale, Claire L. – sequence: 7 givenname: Janneke surname: van’t Hooft fullname: van’t Hooft, Janneke |
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CitedBy_id | crossref_primary_10_1016_j_ejogrb_2025_01_039 crossref_primary_10_3390_nu13103388 crossref_primary_10_1371_journal_pone_0282393 crossref_primary_10_1186_s12874_024_02182_w crossref_primary_10_3390_nu15122681 crossref_primary_10_1136_openhrt_2023_002581 |
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Copyright | COPYRIGHT 2020 Public Library of Science 2020 Rogozińska et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2020 Rogozińska et al 2020 Rogozińska et al |
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