Evidence map›Paper›PMID 38465750›Full record

ReviewLa Tunisie medicale2023

Enhancing scholarly discourse in the age of artificial intelligence: A guided approach to effective peer review process.

Ismail Dergaa, Lilia Zakhama, Chedly Dziri, Helmi Ben Saad

Abstract readReview
In one paragraph

Review in La Tunisie medicale, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
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  3. Review
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  7. Review
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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

4 authors.

Ismail DergaaPrimary Health Care Corporation (PHCC), Doha, Qatar.
Lilia ZakhamaCardiology Department, Security Forces Hospital-La Masa, Faculty of Medicine of Tunis, University of Tunis El Manar, Tunisia.
Chedly DziriProfessor Emeritus - General Surgery, University of Tunis El Manar, Faculty of Medicine of Tunis, Director of Honoris Medical Simulation Center, Tunis, Tunisia.
Helmi Ben SaadUniversity of Sousse, Farhat Hached Hospital, Research Laboratory LR12SP09 «Heart failure», 4000 Sousse, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integrity of the peer-review process (PRP) is paramount in academic publishing and serves as a critical filter for scholarly output. This mini-review centers on the introduction of comprehensive guidelines, presented in tables format, aimed at streamlining the interactions between authors and reviewers during the PRP. These guidelines, derived from an in-depth exploration of the PRP, offer structured and practical advice to ensure constructive, transparent, and effective communication, especially related to the use of artificial intelligence. While this mini-review discusses the strengths and challenges of the current PRP, its primary focus is on providing tangible recommendations to enhance the quality and efficiency of the PRP. By providing explicit guidelines and emphasizing the cooperative essence of peer review, this mini-review aims to improve the PRP, ensuring that it remains a robust mechanism for upholding the highest standards of research and knowledge dissemination in an evolving academic setting.

Indexed as

Artificial IntelligencePeer Review, ResearchHumansPublishing

Identifiers

PMID38465750
PMCPMC11261523

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.