Evidence map›Paper›PMID 41004541›Full record

ArticlePLoS medicine2025

Open science and transparency are our strongest tools in the fight against fraudulent publishing activities.

Helen Lumbard, Daniel Routledge

Abstract readEditorial
In one paragraph

Article in PLoS medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

2 authors.

Helen LumbardPublic Library of Science, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0001-6664-2661
Daniel RoutledgePublic Library of Science, Cambridge, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systematic fraud threatens the integrity of science, with paper and review mills distorting the evidence base in medicine and global health. Data transparency-once seen mainly as a driver of discovery-must now be recognized as a frontline defense against misconduct. Only through open data and coordinated action can we safeguard trust in research and its impact on health.

Indexed as

Biomedical ResearchFraudPublishingScientific MisconductHumansInformation Dissemination

Identifiers

PMID41004541
PMCPMC12483235

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.