Evidence map›Paper›PMID 42249414›Full record

ReviewResearch integrity and peer review2026

Research integrity and transparency in CAM journals: an analysis of publication bias and reporting practices (1995-2023) in four leading journals.

Stephen Neilson, Kevin Smith

Abstract readReview
In one paragraph

Review in Research integrity and peer review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Stephen NeilsonFaculty of Applied Sciences, Department of Built Environment and Life Sciences, Abertay University, Dundee, Scotland, DD1 1HG, UK.
Kevin SmithFaculty of Applied Sciences, Department of Built Environment and Life Sciences, Abertay University, Dundee, Scotland, DD1 1HG, UK. k.smith@abertay.ac.uk.ORCID http://orcid.org/0000-0002-3762-9027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComplementary and alternative medicine (CAM) remains widely used worldwide, yet longstanding concerns persist regarding the balance and reliability of the evidence presented in CAM journals.

objectiveTo examine long-term trends in publication practices within leading CAM journals, with particular attention to changes in publication types and the prevalence of positive versus negative study outcomes as indirect indicators of potential publication bias.

methodsWe conducted a complete census of articles published in four leading CAM journals at two contemporary time points (2018 and 2023), replicating the design and classification framework of a seminal 2001 analysis covering 1995 and 2000. Articles were categorised by publication type, subject area, and author-reported study outcome (positive, negative, or inconclusive, corresponding to the "open" category used in the original 2001 study). Descriptive analyses were used to compare trends over time and with earlier findings.

resultsThe total number of published articles increased substantially between the earlier and contemporary periods. The proportion of empirical studies, particularly clinical trials, rose over time. However, the prevalence of positive outcomes also increased markedly, with positive findings accounting for over 80% of published articles in the contemporary period, compared with 49% in the earlier study. Negative and inconclusive outcomes remained relatively infrequent.

conclusionsDespite growth in publication volume and a shift toward empirical study designs, CAM journals continue to exhibit a pronounced predominance of positive outcome reporting. These findings suggest that longstanding concerns regarding publication bias in CAM publishing have not diminished over time and appear to have intensified, with selective publication and related reporting and dissemination practices plausibly contributing to the observed patterns. This has important implications for research integrity and evidence-based decision-making in medical practice.

Indexed as

Alternative medicineComplementary medicineIntegrative medicineJournal analysisPositive outcomesPublication bias

Identifiers

PMID42249414
PMCPMC13471484

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.