Evidence map›Paper›PMID 38458774›Full record

ArticleMolecular pharmacology2024

A Conversation with ChatGPT on Contentious Issues in Senescence and Cancer Research.

Ahmed M Elshazly, Uruk Shahin, Sofian Al Shboul, David A Gewirtz, Tareq Saleh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Ahmed M ElshazlyDepartment of Pharmacology and Toxicology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia (A.M.E., D.A.G.); Department of Pharmacology and Toxicology, Faculty of Pharmacy, Kafrelsheikh University, Kafrelsheikh, Egypt (A.M.E.); and Department of Pharmacology and Public Health, Faculty of Medicine, The Hashemite University, Zarqa, Jordan (U.S., S.A.S., T.S.).ORCID 0000-0003-0353-1643
Uruk ShahinDepartment of Pharmacology and Toxicology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia (A.M.E., D.A.G.); Department of Pharmacology and Toxicology, Faculty of Pharmacy, Kafrelsheikh University, Kafrelsheikh, Egypt (A.M.E.); and Department of Pharmacology and Public Health, Faculty of Medicine, The Hashemite University, Zarqa, Jordan (U.S., S.A.S., T.S.).
Sofian Al ShboulDepartment of Pharmacology and Toxicology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia (A.M.E., D.A.G.); Department of Pharmacology and Toxicology, Faculty of Pharmacy, Kafrelsheikh University, Kafrelsheikh, Egypt (A.M.E.); and Department of Pharmacology and Public Health, Faculty of Medicine, The Hashemite University, Zarqa, Jordan (U.S., S.A.S., T.S.).
David A GewirtzDepartment of Pharmacology and Toxicology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia (A.M.E., D.A.G.); Department of Pharmacology and Toxicology, Faculty of Pharmacy, Kafrelsheikh University, Kafrelsheikh, Egypt (A.M.E.); and Department of Pharmacology and Public Health, Faculty of Medicine, The Hashemite University, Zarqa, Jordan (U.S., S.A.S., T.S.) tareq@hu.edu.jo david.gewirtz@vcuhealth.org.
Tareq SalehDepartment of Pharmacology and Toxicology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia (A.M.E., D.A.G.); Department of Pharmacology and Toxicology, Faculty of Pharmacy, Kafrelsheikh University, Kafrelsheikh, Egypt (A.M.E.); and Department of Pharmacology and Public Health, Faculty of Medicine, The Hashemite University, Zarqa, Jordan (U.S., S.A.S., T.S.) tareq@hu.edu.jo david.gewirtz@vcuhealth.org.ORCID 0000-0002-2878-1107

Funding

Use of senolytics to enhance chemotherapeutic efficacy in lung cancerR01CA239706 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI GEWIRTZ, DAVID A., HARADA, HISASHI · 2019 to 2023
$2.0M
NCI NIH HHS R01 CA239706NIH HHS R01CA268819
6 · The paper itself

Abstract

Artificial intelligence (AI) platforms, such as Generative Pretrained Transformer (ChatGPT), have achieved a high degree of popularity within the scientific community due to their utility in providing evidence-based reviews of the literature. However, the accuracy and reliability of the information output and the ability to provide critical analysis of the literature, especially with respect to highly controversial issues, has generally not been evaluated. In this work, we arranged a question/answer session with ChatGPT regarding several unresolved questions in the field of cancer research relating to therapy-induced senescence (TIS), including the topics of senescence reversibility, its connection to tumor dormancy, and the pharmacology of the newly emerging drug class of senolytics. ChatGPT generally provided responses consistent with the available literature, although occasionally overlooking essential components of the current understanding of the role of TIS in cancer biology and treatment. Although ChatGPT, and similar AI platforms, have utility in providing an accurate evidence-based review of the literature, their outputs should still be considered carefully, especially with respect to unresolved issues in tumor biology. SIGNIFICANCE STATEMENT: Artificial Intelligence platforms have provided great utility for researchers to investigate biomedical literature in a prompt manner. However, several issues arise when it comes to certain unresolved biological questions, especially in the cancer field. This work provided a discussion with ChatGPT regarding some of the yet-to-be-fully-elucidated conundrums of the role of therapy-induced senescence in cancer treatment and highlights the strengths and weaknesses in utilizing such platforms for analyzing the scientific literature on this topic.

Indexed as

Artificial IntelligenceNeoplasmsHumansReproducibility of ResultsSenotherapeuticsSenotherapeutics

Identifiers

PMID38458774
PMCPMC11026153

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.