Literature DB >> 11449014

Participation of epidemiologists and/or biostatisticians and methodological quality of published controlled clinical trials.

M Delgado-Rodriguez1, M Ruiz-Canela, J De Irala-Estevez, J Llorca, A Martinez-Gonzalez.   

Abstract

STUDY
OBJECTIVE: This study assessed several methodological aspects related to the quality of published controlled clinical trials (CCTs) in relation to the participation of an epidemiologist/biostatistician (E/B).
DESIGN: Handsearch of CCTs published in four medical leading journals for 1993-1995.
METHODS: Quality variables, abstracted from a review, were related to authors' specialties. Five hundred and ninety four CCTs were identified via a hand search. The department/unit membership was used to attribute authors' specialties. Of 594 CCTs identified, in 127 the authors' specialties could not be known, leaving 467 trials for analysis.
RESULTS: E/B participation occurred in 178 trials (38.1%). This participation was more frequent in multicentric, bigger, and in those trials describing any funding agency. These factors were controlled for in the analysis. E/B participation was positively associated with pre-study sample size estimation (OR = 1.5, 95% confidence intervals (CI) 1.0, 2.3), with reporting the dates for starting/ending the study (OR = 2.1, 95% CI 1.4, 3.3), with using an objectively assessed outcome (OR = 2.4, 95% CI 1.2, 4.6) and with the intention to treat principle (OR = 2.0, 95% CI 1.3, 3.0). The overall quality score was higher in trials where E/B participated.
CONCLUSIONS: The results suggest that E/B improve the quality (at least of reports) of clinical trials. Given that quality of research is frequently used to evaluate potential sources of heterogeneity between trials, these results are relevant for meta-analysis.

Mesh:

Year:  2001        PMID: 11449014      PMCID: PMC1731954          DOI: 10.1136/jech.55.8.569

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  9 in total

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Authors:  M Ruiz-Canela; M A Martínez-González; E Gómez-Gracia; J Fernández-Crehuet
Journal:  N Engl J Med       Date:  1999-04-08       Impact factor: 91.245

2.  Incorporating variations in the quality of individual randomized trials into meta-analysis.

Authors:  A S Detsky; C D Naylor; K O'Rourke; A J McGeer; K A L'Abbé
Journal:  J Clin Epidemiol       Date:  1992-03       Impact factor: 6.437

3.  A meta-analysis of physical activity in the prevention of coronary heart disease.

Authors:  J A Berlin; G A Colditz
Journal:  Am J Epidemiol       Date:  1990-10       Impact factor: 4.897

4.  Improving the quality of reporting of randomized controlled trials. The CONSORT statement.

Authors:  C Begg; M Cho; S Eastwood; R Horton; D Moher; I Olkin; R Pitkin; D Rennie; K F Schulz; D Simel; D F Stroup
Journal:  JAMA       Date:  1996-08-28       Impact factor: 56.272

5.  Assessing the quality of randomized controlled trials: an annotated bibliography of scales and checklists.

Authors:  D Moher; A R Jadad; G Nichol; M Penman; P Tugwell; S Walsh
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Review 6.  Cumulative meta-analysis of clinical trials builds evidence for exemplary medical care.

Authors:  J Lau; C H Schmid; T C Chalmers
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7.  Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials.

Authors:  K F Schulz; I Chalmers; R J Hayes; D G Altman
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8.  Invited commentary: a critical look at some popular meta-analytic methods.

Authors:  S Greenland
Journal:  Am J Epidemiol       Date:  1994-08-01       Impact factor: 4.897

9.  Re: "A critical look at some popular meta-analytic methods".

Authors:  I Olkin
Journal:  Am J Epidemiol       Date:  1994-08-01       Impact factor: 4.897

  9 in total
  9 in total

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Authors:  An-Wen Chan; Jennifer M Tetzlaff; Peter C Gøtzsche; Douglas G Altman; Howard Mann; Jesse A Berlin; Kay Dickersin; Asbjørn Hróbjartsson; Kenneth F Schulz; Wendy R Parulekar; Karmela Krleza-Jeric; Andreas Laupacis; David Moher
Journal:  BMJ       Date:  2013-01-08

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Authors:  Briget da Graca; Benjamin D Pollock; Teresa K Phan; Chris Carlisi; Tavia I Gonzalez Peña; Giovanni Filardo
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4.  Bayesian statistics in the design and analysis of cluster randomised controlled trials and their reporting quality: a methodological systematic review.

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Journal:  Syst Rev       Date:  2021-03-31

Review 5.  Factors influencing the statistical planning, design, conduct, analysis and reporting of trials in health care: A systematic review.

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Journal:  Contemp Clin Trials Commun       Date:  2022-01-29

6.  Trial-level characteristics associate with treatment effect estimates: a systematic review of meta-epidemiological studies.

Authors:  Huan Wang; Jinlu Song; Yali Lin; Wenjie Dai; Yinyan Gao; Lang Qin; Yancong Chen; Wilson Tam; Irene Xy Wu; Vincent Ch Chung
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Review 7.  A systematic review of cluster randomised trials in residential facilities for older people suggests how to improve quality.

Authors:  Karla Diaz-Ordaz; Robert Froud; Bart Sheehan; Sandra Eldridge
Journal:  BMC Med Res Methodol       Date:  2013-10-22       Impact factor: 4.615

Review 8.  Meta-analyses including non-randomized studies of therapeutic interventions: a methodological review.

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9.  Methodology over metrics: current scientific standards are a disservice to patients and society.

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  9 in total

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