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Institution

Clinical Trial Service Unit

About: Clinical Trial Service Unit is a based out in . It is known for research contribution in the topics: Population & Stroke. The organization has 428 authors who have published 1387 publications receiving 181920 citations.


Papers
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Journal ArticleDOI
TL;DR: It is believed that the metaanalysis by Awasthi and colleagues underestimates the eff ect of vitamin A when delivered faithfully to children at high risk of deficiency; however, their report affirms that vitamin A supplementation prevents death, illness, and blindness for children who are defi cient and cannot obtain enough vitamin A through diet alone.

17 citations

Journal ArticleDOI
TL;DR: In this article, the authors tested the hypothesis that combined changes in UACR and eGFR predict advanced kidney disease better than either alone or in combination, over a 3-year period.

17 citations

Journal ArticleDOI
TL;DR: This study has a duration of 15-20 years, and will provide scientific evidence for strategic planning of NCD prevention and control, and development of new treatment and intervention approaches, and is one of the largest long-term blood-based population cohort studies ever conducted in the world.

17 citations

Journal Article
TL;DR: In an investigation into how chance might influence the distribution of deaths in a randomised trial and the time of those deaths, and to highlight the possible dangers of subgroup analyses, 100 randomised controlled trials were simulated and 50 subgroup pairs were simulated.
Abstract: In an investigation into how chance might influence the distribution of deaths in a randomised trial and the time of those deaths, and to highlight the possible dangers of subgroup analyses, 100 randomised controlled trials were simulated and 50 subgroup pairs were simulated for some of these trials. Each of 580 control patients from a colorectal cancer trial was randomly coded to simulate allocation to treatment or control, the main outcome measure being time to death. Not surprisingly, most of the 100 trials gave non-significant results. Four were conventionally significant with logrank 2p-values of less than 0.05. The most extreme result was associated with a logrank 2p-value of 0.003, showing an absolute reduction in four-year mortality of 40% (SD 15) for patients allocated to treatment. One of the simulated prognostic factors for this trial (subgroup 13) showed that mortality for one type of patient was non-significantly slightly increased by treatment, whereas treatment reduced four-year mortality by 64% (SD 16) among the other patients in the trial (2p = 0.00006). Similar, extreme results were found for a trial of borderline statistical significance overall. Chance can influence the overall results of any randomised controlled trial, regardless of how well it is conducted, and can play an even more powerful role in the results of subgroup analyses. This should be borne in mind both by trialists when reporting their results and by readers and reviewers of those reports.

17 citations


Authors

Showing all 428 results

NameH-indexPapersCitations
Salim Yusuf2311439252912
Richard Peto183683231434
Cornelia M. van Duijn1831030146009
Rory Collins162489193407
Naveed Sattar1551326116368
Timothy J. Key14680890810
John Danesh135394100132
Andrew J.S. Coats12782094490
Valerie Beral11447153729
Mike Clarke1131037164328
Robert Clarke11151290049
Robert U. Newton10975342527
Richard Gray10980878580
Braxton D. Mitchell10255849599
Naomi E. Allen10136437057
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2021136
2020116
2019122
201894
2017106
201688