Evidence map›Paper›PMID 41710616›Full record

ArticleSaudi journal of anaesthesia

The evolution of ChatGPT-generated text in scientific medical publications.

Fuat H Saner, Roman Schumann, Leen Alchibi, Sami A Kareem, Kris Ann H Marquez, Yasemin M Saner, Ehab Abufarhaneh, Dieter C Broering, Dimitri A Raptis, HeALgroup.AI Collaborative (Appendix)

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Article in Saudi journal of anaesthesia. 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

10 authors.

Fuat H SanerDepartment of Organ Transplant Center of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Roman SchumannDepartment of Anesthesiology, Tufts University School of Medicine, Boston, MA, USA.
Leen AlchibiDepartment of Organ Transplant Center of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Sami A KareemDepartment of Organ Transplant Center of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Kris Ann H MarquezDepartment of Organ Transplant Center of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Yasemin M SanerDepartment of Urology, Medical Center University Duisburg-Essen, Duisburg, Germany.
Ehab AbufarhanehDepartment of Organ Transplant Center of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Dieter C BroeringDepartment of Organ Transplant Center of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Dimitri A RaptisDepartment of Organ Transplant Center of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
HeALgroup.AI Collaborative (Appendix)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: ChatGPT is an Artificial intelligence (AI) language model that enhances readability in medical writing. However, the prevalence of ChatGPT-generated articles in English medical literature has not been systematically studied. This research aims to evaluate the frequency of these manuscripts, their adoption across medical subspecialties, and the countries of origin for the publishing companies. Methods: The term "delve" is primarily linked to ChatGPT-generated medical literature. In this observational study, we identified manuscripts as ChatGPT-generated based on this term in the title or abstract. We examined PubMed Results: During the study period, 2.193.871 manuscripts were published in Pubmed Conclusion: Since the introduction of ChatGPT, medical publications are increasingly ChatGPT-supported or generated with an uncertain amount of author auditing and editing. High-frequency publishers were located in first-world countries.

Indexed as

AIChatGPTCHATGPTdelvemedical writing

Identifiers

PMID41710616
PMCPMC12912511

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.