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Evaluating the Quality of Research into a Single Prognostic Biomarker: A Systematic Review and Meta-analysis of 83 Studies of C-Reactive Protein in Stable Coronary Artery Disease

BACKGROUND: Systematic evaluations of the quality of research on a single prognostic biomarker are rare. We sought to evaluate the quality of prognostic research evidence for the association of C-reactive protein (CRP) with fatal and nonfatal events among patients with stable coronary disease. METHO...

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Autores principales: Hemingway, Harry, Philipson, Peter, Chen, Ruoling, Fitzpatrick, Natalie K., Damant, Jacqueline, Shipley, Martin, Abrams, Keith R., Moreno, Santiago, McAllister, Kate S. L., Palmer, Stephen, Kaski, Juan Carlos, Timmis, Adam D., Hingorani, Aroon D.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2879408/
https://www.ncbi.nlm.nih.gov/pubmed/20532236
http://dx.doi.org/10.1371/journal.pmed.1000286
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author Hemingway, Harry
Philipson, Peter
Chen, Ruoling
Fitzpatrick, Natalie K.
Damant, Jacqueline
Shipley, Martin
Abrams, Keith R.
Moreno, Santiago
McAllister, Kate S. L.
Palmer, Stephen
Kaski, Juan Carlos
Timmis, Adam D.
Hingorani, Aroon D.
author_facet Hemingway, Harry
Philipson, Peter
Chen, Ruoling
Fitzpatrick, Natalie K.
Damant, Jacqueline
Shipley, Martin
Abrams, Keith R.
Moreno, Santiago
McAllister, Kate S. L.
Palmer, Stephen
Kaski, Juan Carlos
Timmis, Adam D.
Hingorani, Aroon D.
author_sort Hemingway, Harry
collection PubMed
description BACKGROUND: Systematic evaluations of the quality of research on a single prognostic biomarker are rare. We sought to evaluate the quality of prognostic research evidence for the association of C-reactive protein (CRP) with fatal and nonfatal events among patients with stable coronary disease. METHODS AND FINDINGS: We searched MEDLINE (1966 to 2009) and EMBASE (1980 to 2009) and selected prospective studies of patients with stable coronary disease, reporting a relative risk for the association of CRP with death and nonfatal cardiovascular events. We included 83 studies, reporting 61,684 patients and 6,485 outcome events. No study reported a prespecified statistical analysis protocol; only two studies reported the time elapsed (in months or years) between initial presentation of symptomatic coronary disease and inclusion in the study. Studies reported a median of seven items (of 17) from the REMARK reporting guidelines, with no evidence of change over time. The pooled relative risk for the top versus bottom third of CRP distribution was 1.97 (95% confidence interval [CI] 1.78–2.17), with substantial heterogeneity (I(2) = 79.5). Only 13 studies adjusted for conventional risk factors (age, sex, smoking, obesity, diabetes, and low-density lipoprotein [LDL] cholesterol) and these had a relative risk of 1.65 (95% CI 1.39–1.96), I(2) = 33.7. Studies reported ten different ways of comparing CRP values, with weaker relative risks for those based on continuous measures. Adjusting for publication bias (for which there was strong evidence, Egger's p<0.001) using a validated method reduced the relative risk to 1.19 (95% CI 1.13–1.25). Only two studies reported a measure of discrimination (c-statistic). In 20 studies the detection rate for subsequent events could be calculated and was 31% for a 10% false positive rate, and the calculated pooled c-statistic was 0.61 (0.57–0.66). CONCLUSION: Multiple types of reporting bias, and publication bias, make the magnitude of any independent association between CRP and prognosis among patients with stable coronary disease sufficiently uncertain that no clinical practice recommendations can be made. Publication of prespecified statistical analytic protocols and prospective registration of studies, among other measures, might help improve the quality of prognostic biomarker research. Please see later in the article for the Editors' Summary
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spelling pubmed-28794082010-06-07 Evaluating the Quality of Research into a Single Prognostic Biomarker: A Systematic Review and Meta-analysis of 83 Studies of C-Reactive Protein in Stable Coronary Artery Disease Hemingway, Harry Philipson, Peter Chen, Ruoling Fitzpatrick, Natalie K. Damant, Jacqueline Shipley, Martin Abrams, Keith R. Moreno, Santiago McAllister, Kate S. L. Palmer, Stephen Kaski, Juan Carlos Timmis, Adam D. Hingorani, Aroon D. PLoS Med Research Article BACKGROUND: Systematic evaluations of the quality of research on a single prognostic biomarker are rare. We sought to evaluate the quality of prognostic research evidence for the association of C-reactive protein (CRP) with fatal and nonfatal events among patients with stable coronary disease. METHODS AND FINDINGS: We searched MEDLINE (1966 to 2009) and EMBASE (1980 to 2009) and selected prospective studies of patients with stable coronary disease, reporting a relative risk for the association of CRP with death and nonfatal cardiovascular events. We included 83 studies, reporting 61,684 patients and 6,485 outcome events. No study reported a prespecified statistical analysis protocol; only two studies reported the time elapsed (in months or years) between initial presentation of symptomatic coronary disease and inclusion in the study. Studies reported a median of seven items (of 17) from the REMARK reporting guidelines, with no evidence of change over time. The pooled relative risk for the top versus bottom third of CRP distribution was 1.97 (95% confidence interval [CI] 1.78–2.17), with substantial heterogeneity (I(2) = 79.5). Only 13 studies adjusted for conventional risk factors (age, sex, smoking, obesity, diabetes, and low-density lipoprotein [LDL] cholesterol) and these had a relative risk of 1.65 (95% CI 1.39–1.96), I(2) = 33.7. Studies reported ten different ways of comparing CRP values, with weaker relative risks for those based on continuous measures. Adjusting for publication bias (for which there was strong evidence, Egger's p<0.001) using a validated method reduced the relative risk to 1.19 (95% CI 1.13–1.25). Only two studies reported a measure of discrimination (c-statistic). In 20 studies the detection rate for subsequent events could be calculated and was 31% for a 10% false positive rate, and the calculated pooled c-statistic was 0.61 (0.57–0.66). CONCLUSION: Multiple types of reporting bias, and publication bias, make the magnitude of any independent association between CRP and prognosis among patients with stable coronary disease sufficiently uncertain that no clinical practice recommendations can be made. Publication of prespecified statistical analytic protocols and prospective registration of studies, among other measures, might help improve the quality of prognostic biomarker research. Please see later in the article for the Editors' Summary Public Library of Science 2010-06-01 /pmc/articles/PMC2879408/ /pubmed/20532236 http://dx.doi.org/10.1371/journal.pmed.1000286 Text en Hemingway et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hemingway, Harry
Philipson, Peter
Chen, Ruoling
Fitzpatrick, Natalie K.
Damant, Jacqueline
Shipley, Martin
Abrams, Keith R.
Moreno, Santiago
McAllister, Kate S. L.
Palmer, Stephen
Kaski, Juan Carlos
Timmis, Adam D.
Hingorani, Aroon D.
Evaluating the Quality of Research into a Single Prognostic Biomarker: A Systematic Review and Meta-analysis of 83 Studies of C-Reactive Protein in Stable Coronary Artery Disease
title Evaluating the Quality of Research into a Single Prognostic Biomarker: A Systematic Review and Meta-analysis of 83 Studies of C-Reactive Protein in Stable Coronary Artery Disease
title_full Evaluating the Quality of Research into a Single Prognostic Biomarker: A Systematic Review and Meta-analysis of 83 Studies of C-Reactive Protein in Stable Coronary Artery Disease
title_fullStr Evaluating the Quality of Research into a Single Prognostic Biomarker: A Systematic Review and Meta-analysis of 83 Studies of C-Reactive Protein in Stable Coronary Artery Disease
title_full_unstemmed Evaluating the Quality of Research into a Single Prognostic Biomarker: A Systematic Review and Meta-analysis of 83 Studies of C-Reactive Protein in Stable Coronary Artery Disease
title_short Evaluating the Quality of Research into a Single Prognostic Biomarker: A Systematic Review and Meta-analysis of 83 Studies of C-Reactive Protein in Stable Coronary Artery Disease
title_sort evaluating the quality of research into a single prognostic biomarker: a systematic review and meta-analysis of 83 studies of c-reactive protein in stable coronary artery disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2879408/
https://www.ncbi.nlm.nih.gov/pubmed/20532236
http://dx.doi.org/10.1371/journal.pmed.1000286
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