ArticleBMJ open2016
Overstatements in abstract conclusions claiming effectiveness of interventions in psychiatry: a study protocol for a meta-epidemiological investigation.
Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Influence of overstated abstract conclusions on clinicians: a web-based randomised controlled trial.BMJ open · 2017Trial
- Increasing Use of Promotional Language in Orthopaedic Surgery Abstracts-An Analysis of 112,916 Abstracts 1985 to 2020.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2024Article
- Promotional Language (Hype) in Abstracts of Publications of National Institutes of Health-Funded Research, 1985-2020.JAMA network open · 2023Article
- Trends in the Use of Promotional Language (Hype) in Abstracts of Successful National Institutes of Health Grant Applications, 1985-2020.JAMA network open · 2022Article
- Overstatements in abstract conclusions claiming effectiveness of interventions in psychiatry: A meta-epidemiological investigation.PloS one · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAbstracts are the major and often the most important source of information for readers of the medical literature. However, there is mounting criticism that abstracts often exaggerate the positive findings and emphasise the beneficial effects of intervention beyond the actual findings mentioned in the corresponding full texts. In order to examine the magnitude of this problem, we will introduce a systematic approach to detect overstated abstracts and to quantify the extent of their prevalence in published randomised controlled trials (RCTs) in the field of psychiatry. METHODS AND ANALYSIS: We will source RCTs published in 2014 from the Cochrane Register of Controlled Trials (CENTRAL) that claim effectiveness of any intervention for mental disorders. The abstract conclusions will be categorised into three types: superior (only stating significant superiority of intervention to control), limited (suggesting that intervention has limited superiority to control) and equal (claiming equal effectiveness of intervention as control). The full texts will also be classified as one of the following based on the primary outcome results: significant (all primary outcomes were statistically significant in favour of the intervention), mixed (primary outcomes included both significant and non-significant results) or all non-significant results. By comparing the abstract conclusion classification and that of the corresponding full text, we will assess whether each study exhibited overstatements in its abstract conclusion. ETHICS AND DISSEMINATION: This trial requires no ethical approval. We will publish our findings in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: UMIN000018668; Pre-results.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.