Evidence map›Paper›PMID 41293366›Full record

ArticleCureus2025

Peer Review of Scientific Studies: Problems and Potential Solutions.

Sunanda Gupta, Aruddha Sarkar

Abstract readEditorial
In one paragraph

Article in Cureus, 2025. 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.

Sunanda GuptaCommunity and Family Medicine, Central Armed Police Forces Institute of Medical Sciences (AIIMS-CAPFIMS), New Delhi, IND.
Aruddha SarkarArthroscopy and Sports Injury, Kalinga Hospital Limited, Bhubaneshwar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peer review has long stood as the principal safeguard for scientific credibility, yet much of its authority rests on tradition rather than empirical proof of efficacy. In recent years, persistent vulnerabilities, ranging from bias and inconsistency to opaque procedures and protracted delays, have eroded trust in the peer review system. Rising submission volumes, mounting commercial influences, and dwindling reviewer engagement have amplified the strain. Problems span structural and individual levels: an overburdened reviewer base, lack of standardized practices, unclear decision-making, slow turnaround times, and limited diversity in evaluation panels, together with personal pitfalls such as unconscious bias, conflicts of interest, poor accountability, inadequate training, and breaches of confidentiality, are present in the spectrum of issues. This editorial explores practical and ethical reforms to strengthen the process, including elevating reviewing to a recognized profession, introducing meaningful incentives, incorporating artificial intelligence judiciously, embracing transparent yet protective models, expanding reviewer diversity, and streamlining editorial workflows.

Indexed as

artificial intelligencebiashealth researchpeer reviewpublicationresearch reviewreviewreviewerreview systemscientific article

Identifiers

PMID41293366
PMCPMC12641063

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.