Evidence map›Paper›PMID 27809924›Full record

ArticleSystematic reviews2016

Time to consider sharing data extracted from trials included in systematic reviews.

Luke Wolfenden, Jeremy Grimshaw, Christopher M Williams, Sze Lin Yoong

Abstract readEditorial
In one paragraph

Article in Systematic reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Luke WolfendenHunter New England Population Health, Locked Bag 10 Longworth Ave, Wallsend, New South Wales, 2289, Australia. Luke.Wolfenden@hnehealth.nsw.gov.au.
Jeremy GrimshawOttawa Hospital Research Institute, Ottawa, ON, K1N 6N5, Canada.
Christopher M WilliamsHunter New England Population Health, Locked Bag 10 Longworth Ave, Wallsend, New South Wales, 2289, Australia.
Sze Lin YoongSchool of Medicine and Public Health, The University of Newcastle, Newcastle, 2289, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile the debate regarding shared clinical trial data has shifted from whether such data should be shared to how this is best achieved, the sharing of data collected as part of systematic reviews has received little attention. In this commentary, we discuss the potential benefits of coordinated efforts to share data collected as part of systematic reviews. MAIN BODY: There are a number of potential benefits of systematic review data sharing. Shared information and data obtained as part of the systematic review process may reduce unnecessary duplication, reduce demand on trialist to service repeated requests from reviewers for data, and improve the quality and efficiency of future reviews. Sharing also facilitates research to improve clinical trial and systematic review methods and supports additional analyses to address secondary research questions. While concerns regarding appropriate use of data, costs, or the academic return for original review authors may impede more open access to information extracted as part of systematic reviews, many of these issues are being addressed, and infrastructure to enable greater access to such information is being developed.

conclusionEmbracing systems to enable more open access to systematic review data has considerable potential to maximise the benefits of research investment in undertaking systematic reviews.

Indexed as

Access to InformationBiomedical ResearchInformation DisseminationReview Literature as TopicHumansData sharingOpen dataReviewSystematic reviews

Identifiers

PMID27809924
PMCPMC5096003

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.