Grey literature in meta-analyses of randomized trials of health care interventions

Author(s):  
Sally Hopewell ◽  
Steve McDonald ◽  
Mike J Clarke ◽  
Matthias Egger
PLoS Medicine ◽  
2009 ◽  
Vol 6 (7) ◽  
pp. e1000100 ◽  
Author(s):  
Alessandro Liberati ◽  
Douglas G. Altman ◽  
Jennifer Tetzlaff ◽  
Cynthia Mulrow ◽  
Peter C. Gøtzsche ◽  
...  

2020 ◽  
Vol 17 (3) ◽  
pp. 253-263 ◽  
Author(s):  
Monica Taljaard ◽  
Cory E Goldstein ◽  
Bruno Giraudeau ◽  
Stuart G Nicholls ◽  
Kelly Carroll ◽  
...  

Background: Novel rationales for randomizing clusters rather than individuals appear to be emerging from the push for more pragmatic trials, for example, to facilitate trial recruitment, reduce the costs of research, and improve external validity. Such rationales may be driven by a mistaken perception that choosing cluster randomization lessens the need for informed consent. We reviewed a random sample of published cluster randomized trials involving only individual-level health care interventions to determine (a) the prevalence of reporting a rationale for the choice of cluster randomization; (b) the types of explicit, or if absent, apparent rationales for the use of cluster randomization; (c) the prevalence of reporting patient informed consent for study interventions; and (d) the types of justifications provided for waivers of consent. We considered cluster randomized trials for evaluating exclusively the individual-level health care interventions to focus on clinical trials where individual randomization is only theoretically possible and where there is a general expectation of informed consent. Methods: A random sample of 40 cluster randomized trials were identified by implementing a validated electronic search filter in two electronic databases (Ovid MEDLINE and Embase), with two reviewers independently extracting information from each trial. Inclusion criteria were the following: primary report of a cluster randomized trial, evaluating exclusively an individual-level health care intervention, published between 2007 and 2016, and conducted in Canada, the United States, European Union, Australia, or low- and middle-income country settings. Results: Twenty-five trials (62.5%, 95% confidence interval = 47.5%–77.5%) reported an explicit rationale for the use of cluster randomization. The most commonly reported rationales were those with logistical or administrative convenience (15 trials, 60%) and those that need to avoid contamination (13 trials, 52%); five trials (20%) were cited rationales related to the push for more pragmatic trials. Twenty-one trials (52.5%, 95% confidence interval = 37%–68%) reported written informed consent for the intervention, two (5%) reported verbal consent, and eight (20%) reported waivers of consent, while in nine trials (22.5%) consent was unclear or not mentioned. Reported justifications for waivers of consent included that study interventions were already used in clinical practice, patients were not randomized individually, and the need to facilitate the pragmatic nature of the trial. Only one trial reported an explicit and appropriate justification for waiver of consent based on minimum criteria in international research ethics guidelines, namely, infeasibility and minimal risk. Conclusion: Rationales for adopting cluster over individual randomization and for adopting consent waivers are emerging, related to the need to facilitate pragmatic trials. Greater attention to clear reporting of study design rationales, informed consent procedures, as well as justification for waivers is needed to ensure that such trials meet appropriate ethical standards.


1999 ◽  
Vol 15 (4) ◽  
pp. 671-678 ◽  
Author(s):  
Mark Petticrew ◽  
Fujian Song ◽  
Paul Wilson ◽  
Kath Wright

Objectives: Database of Abstracts of Reviews of Effectiveness (DARE) (http://www.york.ac.uk/inst/crd/) at the NHS Centre for Reviews and Dissemination provides a unique international resource of structured summaries of quality-assessed reviews of health care interventions. These reviews have been identified from searches of electronic databases and by hand-searching journals. This paper describes and summarizes the DARE database, including the topic areas covered and the review methods used.Methods: The first 480 structured abstracts on the DARE database were summarized. Data were extracted from each database field and coded for analysis.Results: Most of the systematic reviews investigated the effectiveness of treatments: 54% investigated the effectiveness of medical therapies, and 10% assessed surgical interventions. Around two-thirds used meta-analytic methods to combine primary studies. The quality of the reviews was variable, with just over half of the reviews (52%, n = 251) having systematically assessed the validity of the included primary studies. Narrative reviews were more likely than meta-analyses to reach negative conclusions (42% vs. 25%, p = .0001). The 21 reviews that reported drug company funding were more likely to reach positive conclusions (81% vs. 66%, p = .15).Conclusion: The DARE database is a valuable source of quality-assessed systematic reviews, and is free and easily accessible. It provides a valuable online resource to help in filtering out poorer quality reviews when assessing the effectiveness of health technologies.


2013 ◽  
Vol 23 (2) ◽  
Author(s):  
Inger Natvig Norderhaug

<p>En god helsetjeneste forutsetter god kunnskap som grunnlag for de valg som gjøres. Systematiske oversikter som sammenfatter tilgjengelig forskningsbasert kunnskap er en viktig del av beslutningsgrunnlaget, enten det er snakk om effektene av tiltak, hvorfor sykdom oppstår, diagnostikk, prognose, eller hvordan sykdom oppleves for dem som rammes.</p><p>Systematiske oversikter er blitt en vel anerkjent kilde for kunnskap om effekt av helsetiltak, med bred internasjonal enighet om metodene som bør benyttes ved utvikling av slike oversikter. Når det gjelder systematiske oversikter for å sammenfatte resultater fra epidemiologisk forskning på årsaksspørsmål er erfaringene langt mindre.</p><p>Samtidig som systematiske oversikter over epidemiologiske studier i større grad bør inngå i beslutningsprosesser, er det et betydelig behov for metodeutvikling. Dette gjelder særlig kriterier for vurdering av kvalitet på epidemiologiske studier, metoder for sammenfatning av resultater i metaanalyser og kriterier for å gradere tillit til de endelige estimatene. Publikasjonsskjevheter er en utfordring for all forskning, og det er behov for initiativ for å sikre bedre rapportering av funn fra epidemiologiske studier, blant annet publisering av studieprotokoller.</p><p>Norderhaug IN. <strong>Systematic reviews of epidemiological research</strong>. <em>Nor J Epidemiol</em> 2013; <strong>23</strong> (2): 125-130.</p><p><strong>ENGLISH SUMMARY</strong></p><p>In health care, good knowledge is key to sound decision making. Good management of knowledge can be achieved through systematic reviews for various questions including the effects of health care interventions, causes of disease, how to best diagnose diseases, prognosis, as well as people’s experiences from living with disease.</p><p>Systematic reviews are well recognized and valued resources to inform decisions regarding health care interventions. Furthermore there is broad international consensus on methods for conducting systematic reviews on the effects of health care interventions. Although the need for systematic reviews is recognized also for epidemiological questions, such as the causes of disease, the level of experience in this area is far less than for systematic reviews on the effects of interventions.</p><p>Thus, alongside the need for better integration of systematic reviews in epidemiology into health care decision making processes, methodological developments are needed, particularly on how to assess the quality of epidemiological studies, methods for combining the results in meta-analyses, and criteria for grading our confidence in the final estimates.</p><p>Publication bias is a problem in all research, and initiatives are needed to improve planning and reporting of epidemiological studies, such as publication of study protocols.</p>


Medwave ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. e8062-e8062
Author(s):  
Giuliano Duarte ◽  
Luis Ortiz-Muñoz ◽  
María Belén Morales ◽  
María Paz Acuña ◽  
Gabriel Rada

Objective To provide a review of the literature on the presence of SARS-CoV-2 in the sexual fluids of patients with COVID-19 and to observe its possible sexual transmission in a timely, rigorous, and continuously updated manner. Data sources We will conduct searches in PubMed/Medline, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), grey literature, and a centralized repository in L·OVE (Living OVerview of Evidence). L·OVE is a platform that maps PICO questions to evidence from the Epistemonikos database. In response to the COVID-19 emergency, L·OVE was adapted to expand the range of evidence it covers and customized to group all COVID-19 evidence in one place. The search will cover the period until the day before submission to a journal. Eligibility criteria for selecting studies and methods We adapted an already published standard protocol for multiple parallel systematic reviews to the specificities of this question. We will include randomized trials evaluating the sexual transmission of the SARS-CoV-2 virus. Randomized trials evaluating the sexual transmission of other coronaviruses, such as MERS-CoV and SARS-CoV, and non-randomized studies in COVID-19 will be searched if no direct evidence from randomized trials is found or if the direct evidence provides a low to a very low level of certainty for critical outcomes. Two reviewers will independently screen each study for eligibility, extract data, and assess the risk of bias. We will perform random-effects meta-analyses and use GRADE to assess the certainty of the evidence for each outcome. A living, web-based version of this review will be openly available during the COVID-19 pandemic. We will resubmit the review if the conclusions change or if there are substantial updates. PROSPERO Registration (CRD42020189368).


2015 ◽  
Vol 162 (11) ◽  
pp. 777 ◽  
Author(s):  
Brian Hutton ◽  
Georgia Salanti ◽  
Deborah M. Caldwell ◽  
Anna Chaimani ◽  
Christopher H. Schmid ◽  
...  

2009 ◽  
Vol 62 (10) ◽  
pp. e1-e34 ◽  
Author(s):  
Alessandro Liberati ◽  
Douglas G. Altman ◽  
Jennifer Tetzlaff ◽  
Cynthia Mulrow ◽  
Peter C. Gøtzsche ◽  
...  

2005 ◽  
Vol 10 (2) ◽  
pp. 97-102 ◽  
Author(s):  
Terry Flynn ◽  
Tim Peters

Cluster randomized controlled trials (RCTs) are increasingly used in economic evaluations of social, educational and health care interventions. Methodological research has, therefore, been spread across several disciplines, with the result that it has taken many years for guidelines on good statistical practice in the design and analysis of such trials to become easily accessible to health service researchers. These guidelines remain incomplete, however, because they do not take account of issues specific to the analysis of cost data. In particular, they fail to recognize that the calculation of confidence intervals around costs needed to inform health care priority setting raises unique methodological issues. If poorly designed trials are to be avoided in future (including those by the authors), then collaboration between triallists and health economists is required. This paper sets out a framework that should facilitate such collaboration and draws attention to problems that must be addressed quickly in the design of cluster-based economic evaluations.


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