Evidence map›Paper›PMID 24023744›Full record

SynthesisPloS one2013

Authorship bias in violence risk assessment? A systematic review and meta-analysis.

Jay P Singh, Martin Grann, Seena Fazel

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 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

23 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Authorship network bias in meta-analysis.Research synthesis methods · 2026
    Article
  6. Scientific guidelines for evaluating the validity of forensic feature-comparison methods.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Understanding risk with FOTRES?AI and ethics · 2023
    Article
  8. Review
  9. Outcome Measures in Forensic Mental Health Services: A Systematic Review of Instruments and Qualitative Evidence Synthesis.European psychiatry : the journal of the Association of European Psychiatrists · 2021
    Article
  10. Article
  11. Can authorship bias be detected in meta-analysis?Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2019
    Article
  12. Article
  13. Article
  14. Prediction of violent crime on discharge from secure psychiatric hospitals: A clinical prediction rule (FoVOx).European psychiatry : the journal of the Association of European Psychiatrists · 2018
    Article
  15. Risk assessment tools in criminal justice and forensic psychiatry: The need for better data.European psychiatry : the journal of the Association of European Psychiatrists · 2017
    Article
  16. The limitations and future of violence risk assessment.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2017
    Article
  17. Article
  18. Covert and Implicit Influences on the Interpretation of Violence Risk Instruments.Psychiatry, psychology, and law : an interdisciplinary journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law · 2017
    Article
  19. Article
  20. Article
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

3 authors.

Jay P SinghPsychiatric/Psychological Service, Department of Justice, Zürich, Switzerland ; Faculty of Health Sciences, Molde University College, Molde, Norway.
Martin Grann
Seena Fazel

Funding

Wellcome Trust 095806
6 · The paper itself

Abstract

Various financial and non-financial conflicts of interests have been shown to influence the reporting of research findings, particularly in clinical medicine. In this study, we examine whether this extends to prognostic instruments designed to assess violence risk. Such instruments have increasingly become a routine part of clinical practice in mental health and criminal justice settings. The present meta-analysis investigated whether an authorship effect exists in the violence risk assessment literature by comparing predictive accuracy outcomes in studies where the individuals who designed these instruments were study authors with independent investigations. A systematic search from 1966 to 2011 was conducted using PsycINFO, EMBASE, MEDLINE, and US National Criminal Justice Reference Service Abstracts to identify predictive validity studies for the nine most commonly used risk assessment tools. Tabular data from 83 studies comprising 104 samples was collected, information on two-thirds of which was received directly from study authors for the review. Random effects subgroup analysis and metaregression were used to explore evidence of an authorship effect. We found a substantial and statistically significant authorship effect. Overall, studies authored by tool designers reported predictive validity findings around two times higher those of investigations reported by independent authors (DOR=6.22 [95% CI=4.68-8.26] in designers' studies vs. DOR=3.08 [95% CI=2.45-3.88] in independent studies). As there was evidence of an authorship effect, we also examined disclosure rates. None of the 25 studies where tool designers or translators were also study authors published a conflict of interest statement to that effect, despite a number of journals requiring that potential conflicts be disclosed. The field of risk assessment would benefit from routine disclosure and registration of research studies. The extent to which similar conflict of interests exists in those developing risk assessment guidelines and providing expert testimony needs clarification.

Indexed as

AuthorshipRisk Assessment

Identifiers

PMID24023744
PMCPMC3759386

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.