Evidence map›Paper›PMID 37462773›Full record

ArticleJournal of cancer research and clinical oncology2023

Letter to the Editor: ChatGPT's contribution to cancer study.

Niloofar Faraji, Shahab Aali, Mahsa Motiei, Sahand Sadat Mansouri

Abstract readLetter
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Niloofar FarajiGastrointestinal and Liver Diseases Research Center, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran.ORCID http://orcid.org/0000-0001-5796-7157
Shahab AaliDepartment of Urology, School of Medicine, Urology Research Center, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran.ORCID http://orcid.org/0009-0004-1717-2690
Mahsa MotieiSchool of Medicine, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran.ORCID http://orcid.org/0000-0002-3543-9975
Sahand Sadat MansouriPediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran. ssadatmansoory@gmail.com.ORCID http://orcid.org/0009-0003-1536-9150

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of large language models (LLM) in medical and biomedical sciences is remarkable, and chat generative pre-trained transformer (ChatGPT) as an AI model has the potential to assist in research and clinical practice. While it is essential to recognize that AI models like ChatGPT are tools that should be used with human expertise and judgment, they should argue, rather than replace, the knowledge and experience of healthcare professionals and researchers in the medical and biomedical fields.

Indexed as

CancerChatGPTMedicalOncologyResearch

Identifiers

PMID37462773
PMCPMC11797205

What OpenQuestion holds

Textmetadata
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.