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Cochrane Collaboration

NonprofitOxford, United Kingdom
About: Cochrane Collaboration is a nonprofit organization based out in Oxford, United Kingdom. It is known for research contribution in the topics: Systematic review & Randomized controlled trial. The organization has 1995 authors who have published 3928 publications receiving 382695 citations.


Papers
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Journal ArticleDOI
TL;DR: The goal of the new KDIGO guideline is to provide evidence-based recommendations to optimize the clinical care of people with diabetes and CKD by integrating new options with existing management strategies.

171 citations

Journal ArticleDOI
TL;DR: Examining the existing reporting frameworks for research against information sought by users of systematic reviews of public health interventions and suggesting additional items that should be considered are suggested to improve the quality and usefulness of published evidence and increase its impact on public health program planning.
Abstract: Evidence-based public health decision-making depends on high quality and transparent accounts of what interventions are effective, for whom, how and at what cost. Improving the quality of reporting of randomized and non-randomized study designs through the CONSORT and TREND statements has had a marked impact on the quality of study designs. However, public health users of systematic reviews have been concerned with the paucity of synthesized information on context, development and rationale, implementation processes and sustainability factors. This paper examines the existing reporting frameworks for research against information sought by users of systematic reviews of public health interventions and suggests additional items that should be considered in future recommendations on the reporting of public health intervention. Intervention model, theoretical and ethical considerations, study design choice, integrity of intervention/process evaluation, context, differential effects and inequalities and sustainability are often overlooked in reports of public health interventions. Population health policy makers need synthesized, detailed and high quality a priori accounts of effective interventions in order to make better progress in tackling population morbidities and inequalities. Adding simple criteria to reporting standards will significantly improve the quality and usefulness of published evidence and increase its impact on public health program planning.

171 citations

Journal ArticleDOI
TL;DR: Peter Doshi and colleagues describe their experience trying and failing to access clinical study reports from the manufacturer of Tamiflu and challenge industry to defend their current position of RCT data secrecy.
Abstract: Peter Doshi and colleagues describe their experience trying and failing to access clinical study reports from the manufacturer of Tamiflu and challenge industry to defend their current position of RCT data secrecy.

171 citations

Reference EntryDOI
TL;DR: There is no credible evidence that vaccination of healthy people under the age of 60, who are HCWs caring for the elderly, affects influenza complications in those cared for.
Abstract: Background Healthcare workers (HCW) (nurses, doctors, other health professionals, cleaners and porters), have substantial rates of clinical and sub-clinical influenza during influenza seasons and may transmit influenza to those in their care, especially the vulnerable elderly. Objectives To identify and summarise comparative studies assessing the effects of vaccinating healthcare workers (HCW) on the incidence of influenza, influenza-like-illness (ILI) and its complications on elderly residents in long-term facilities. Search strategy We searched the Cochrane Central Register of Controlled Trials (CENTRAL), the Cochrane Database of Systematic Reviews and the NHS Database of Abstracts of Reviews of Effectiveness (DARE) (The Cochrane Library Issue 1, 2006); MEDLINE (January 1966 to Week 1, February 2006); EMBASE (1974 to March 2006); Biological Abstracts (1969 to December 2004); and Science Citation Index-Expanded (1974 to March 2006). Selection criteria Comparative randomised and non-randomised studies reporting the effects of influenza vaccines on the incidence of viral infections in institutions for the elderly of any type, in any schedule of vaccination given to HCW caring for elderly residents of long-term facilities aged 60 years or older. Data collection and analysis Two authors independently extracted data and assessed the methodological quality using criteria from the Cochrane Reviewers' Handbook and the Newcastle-Ottawa scale (for non-randomised studies). Main results We included two cluster randomised controlled trials (C-RCT) and one cohort study. Staff vaccination appears to have significant effect against ILI (absolute vaccine efficacy (VE) 86%, 95% confidence interval (CI) 40% to 97%) only when patients are vaccinated too; if patients are not vaccinated, staff immunisation shows no effect (based on one C-RCT). Based on a small number of observations from two C-RCTs, the vaccines have no efficacy against influenza (odds ratio (OR) 0.86, 95% CI 0.44 to 1.68) or lower respiratory tract infections (OR 0.70, 95% CI 0.41 to 1.20) but were effective against deaths from pneumonia (VE 39%, 95% CI 2% to 62%) and deaths from all causes (VE 40%, 95% CI 27% to 50%). All findings must be interpreted with caution given the presence of selection bias. Authors' conclusions We concluded that there is no credible evidence that vaccination of healthy people under the age of 60, who are HCWs caring for the elderly, affects influenza complications in those cared for. However, as vaccinating the elderly in institutions reduces the complications of influenza and vaccinating healthy persons under 60 reduces cases of influenza, those with the responsibility of caring for the elderly in institutions may want to increase vaccine coverage and assess its effects in well-designed studies.

171 citations

Journal ArticleDOI
05 May 2005-BMJ
TL;DR: Most randomised clinical trials have unclear allocation concealment on the basis of the trial publication alone, and most of these trials also have unclear allocations concealment according to their protocol.
Abstract: Objectives To compare how allocation concealment is described in publications of randomised clinical trials and corresponding protocols, and to estimate how often trial publications with unclear allocation concealment have adequate concealment according to the protocol. Design Cohort study of 102 sets of trial protocols and corresponding publications. Setting Protocols of randomised trials approved by the scientific and ethical committees for Copenhagen and Frederiksberg, 1994 and 1995. Main outcome measures Frequency of adequate, unclear, and inadequate allocation concealment and sequence generation in trial publications compared with protocols, and the proportion of protocols where methods were reported to be adequate but descriptions were unclear in the trial publications. Results 96 of the 102 trials had unclear allocation concealment according to the trial publication. According to the protocols, 15 of these 96 trials had adequate allocation concealment (16%, 95% confidence interval 9% to 24%), 80 had unclear concealment (83%, 74% to 90%), and one had inadequate concealment. When retrospectively defined loose criteria for concealment were applied, 83 of the 102 trial publications had unclear concealment. According to their protocol, 33 of these 83 trials had adequate allocation concealment (40%, 29% to 51%), 49 had unclear concealment (59%, 48% to 70%), and one had inadequate concealment. Conclusions Most randomised clinical trials have unclear allocation concealment on the basis of the trial publication alone. Most of these trials also have unclear allocation concealment according to their protocol.

170 citations


Authors

Showing all 2000 results

NameH-indexPapersCitations
Douglas G. Altman2531001680344
John P. A. Ioannidis1851311193612
Jasvinder A. Singh1762382223370
George A. Wells149941114256
Shah Ebrahim14673396807
Holger J. Schünemann141810113169
Paul G. Shekelle132601101639
Peter Tugwell129948125480
Jeremy M. Grimshaw123691115126
Peter Jüni12159399254
John J. McGrath120791124804
Arne Astrup11486668877
Mike Clarke1131037164328
Rachelle Buchbinder11261394973
Ian Roberts11271451933
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202210
2021289
2020288
2019215
2018213