Evidence map›Paper›PMID 38494501›Full record

ReviewBMC medical research methodology2024

An analysis of published study designs in PubMed prisoner health abstracts from 1963 to 2023: a text mining study.

George Karystianis, Wilson Lukmanjaya, Iain Buchan, Paul Simpson, Natasha Ginnivan, Goran Nenadic, Tony Butler

Open access · goldAbstract readReview
In one paragraph

Review in BMC medical research methodology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Goals and strategies for the indexing of publication types and study designs.Database : the journal of biological databases and curation · 2026
    Article
  3. 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

7 authors at 3 institutions in 2 countries.

George KarystianisSchool of Population Health, University of New South Wales, Sydney, Australia. g.karystianis@unsw.edu.au.
Wilson LukmanjayaSchool of Population Health, University of New South Wales, Sydney, Australia.
Iain BuchanInstitute of Population Health, University of Liverpool, Liverpool, UK.
Paul SimpsonSchool of Population Health, University of New South Wales, Sydney, Australia.
Natasha GinnivanSchool of Population Health, University of New South Wales, Sydney, Australia.
Goran NenadicSchool of Computer Science, University of Manchester, Manchester, UK.
Tony ButlerSchool of Population Health, University of New South Wales, Sydney, Australia.
UNSW Sydney · AUUniversity of Liverpool · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe challenging nature of studies with incarcerated populations and other offender groups can impede the conduct of research, particularly that involving complex study designs such as randomised control trials and clinical interventions. Providing an overview of study designs employed in this area can offer insights into this issue and how research quality may impact on health and justice outcomes.

methodsWe used a rule-based approach to extract study designs from a sample of 34,481 PubMed abstracts related to epidemiological criminology published between 1963 and 2023. The results were compared against an accepted hierarchy of scientific evidence.

resultsWe evaluated our method in a random sample of 100 PubMed abstracts. An F1-Score of 92.2% was returned. Of 34,481 study abstracts, almost 40.0% (13,671) had an extracted study design. The most common study design was observational (37.3%; 5101) while experimental research in the form of trials (randomised, non-randomised) was present in 16.9% (2319). Mapped against the current hierarchy of scientific evidence, 13.7% (1874) of extracted study designs could not be categorised. Among the remaining studies, most were observational (17.2%; 2343) followed by systematic reviews (10.5%; 1432) with randomised controlled trials accounting for 8.7% (1196) of studies and meta-analysis for 1.4% (190) of studies.

conclusionsIt is possible to extract epidemiological study designs from a large-scale PubMed sample computationally. However, the number of trials, systematic reviews, and meta-analysis is relatively small - just 1 in 5 articles. Despite an increase over time in the total number of articles, study design details in the abstracts were missing. Epidemiological criminology still lacks the experimental evidence needed to address the health needs of the marginalized and isolated population that is prisoners and offenders.

Indexed as

CriminalsPrisonersData MiningHumansResearch DesignEpidemiological criminologyMeta analysisObservational researchPrisoner health researchRandomised controlled trialsSystematic reviewsText mining

Identifiers

PMID38494501
PMCPMC10944606
OpenAlexW4392893869

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.