Evidence map›Paper›PMID 37073644›Full record

ReviewBJPsych open2023

Quantifying the psychological and behavioural consequences of a diagnostic label for non-cancer conditions: systematic review.

Rebecca Sims, Zoe A Michaleff, Paul Glasziou, Mark Jones, Rae Thomas

Abstract readReview
In one paragraph

Review in BJPsych open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

5 authors.

Rebecca SimsInstitute for Evidence-Based Healthcare, Bond University, Australia.ORCID https://orcid.org/0000-0002-1604-8354
Zoe A MichaleffInstitute for Evidence-Based Healthcare, Bond University, Australia.
Paul GlasziouInstitute for Evidence-Based Healthcare, Bond University, Australia.
Mark JonesInstitute for Evidence-Based Healthcare, Bond University, Australia.
Rae ThomasInstitute for Evidence-Based Healthcare, Bond University, Australia.

Funding

National Health and Medical Research Council Health System Sustainability Grant #9100002National Health and Medical Research Council Investigator Grant #1175487National Health and Medical Research Council Program Grant #1106452
6 · The paper itself

Abstract

backgroundScreening for asymptomatic health conditions is perceived as mostly beneficial, with possible harms receiving little attention.

aimsTo quantify proximal and longer-term consequences for individuals receiving a diagnostic label following screening for an asymptomatic, non-cancer health condition.

methodFive electronic databases were searched (inception to November 2022) for studies that recruited asymptomatic screened individuals who received or did not receive a diagnostic label. Eligible studies reported psychological, psychosocial and/or behavioural outcomes before and after screening results. Independent reviewers screened titles and abstracts, extracted data from included studies, and assessed risk of bias (Risk of Bias in Non-Randomised Studies of Interventions). Results were meta-analysed or descriptively reported.

resultsSixteen studies were included. Twelve studies addressed psychological outcomes, four studies examined behavioural outcomes and none reported psychosocial outcomes. Risk of bias was judged as low (

conclusionsThe impacts of screening asymptomatic, non-cancer health conditions are not universally positive. Limited research exists regarding longer-term impacts. Well-designed, high-quality studies further investigating these impacts are required to assist development of protocols that minimise psychological distress following diagnosis.

Indexed as

consequencesdiagnosisLabellingscreeningsystematic review

Identifiers

PMID37073644
PMCPMC10134215

What OpenQuestion holds

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Registered trials

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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.