Evidence map›Paper›PMID 24078752›Full record

ArticleBMJ open2013

Reporting of harms data in RCTs: a systematic review of empirical assessments against the CONSORT harms extension.

Alex Hodkinson, Jamie J Kirkham, Catrin Tudur-Smith, Carrol Gamble

Abstract read
In one paragraph

Article in BMJ open, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 16 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

40 citing papers in PubMed, 16 syntheses or guidelines pooled it.

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  15. Common harms from amoxicillin: a systematic review and meta-analysis of randomized placebo-controlled trials for any indication.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2015
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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.

Alex HodkinsonDepartment of Biostatistics, MRC North West Hub for Trials Methodology Research, University of Liverpool, Liverpool, UK.
Jamie J Kirkham
Catrin Tudur-Smith
Carrol Gamble

Funding

Medical Research Council G0800792
6 · The paper itself

Abstract

objectiveTo determine the standard of reporting of harms-related data, in randomised controlled trials (RCTs) according to the Consolidated Standards of Reporting Trials (CONSORT) statement extension for harms.

designSystematic review. DATA SOURCES: The Cochrane library, Ovid MEDLINE, Scopus and ISI Web of Knowledge were searched for relevant literature. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: We included publications of studies that used the CONSORT harms extension to assess the reporting of harms in RCTs.

resultsWe identified 7 studies which included between 10 and 205 RCTs. The clinical areas of the 7 studies were: hypertension (1), urology (1), epilepsy (1), complimentary medicine (2) and two not restricted to a clinical topic. Quality of the 7 studies was assessed by a risk of bias tool and was found to be variable. Adherence to the CONSORT harms criteria reported in the 7 studies was inadequate and variable across the items in the checklist. Adverse events are poorly defined, with 6 studies failing to exceed 50% adherence to the items in the checklist.

conclusionsReaders of RCT publications need to be able to balance the trade-offs between benefits and harms of interventions. This systematic review suggests that this is compromised due to poor reporting of harms which is evident across a range of clinical areas. Improvements in quality could be achieved by wider adoption of the CONSORT harms criteria by journals reporting RCTs.

Indexed as

BiostatisticsClinical Trial MethodologyGeneral Medicine (see Internal Medicine)

Identifiers

PMID24078752
PMCPMC3787508

What OpenQuestion holds

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LicenceCC BY
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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.