Evidence map›Paper›PMID 39272684›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Effectiveness of ChatGPT 4.0 in Telemedicine-Based Management of Metastatic Prostate Carcinoma.

Emre Dal, Ayana Srivastava, Beverly Chigarira, Chadi Hage Chehade, Vinay Matthew Thomas, Gliceida M Galarza Fortuna, Diya Garg, Richard Ji, Georges Gebrael, Neeraj Agarwal and 2 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. 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

12 authors.

Emre DalHuntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Ayana SrivastavaHuntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0009-0002-9521-5436
Beverly ChigariraHuntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Chadi Hage ChehadeHuntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0009-0008-6735-5777
Vinay Matthew ThomasHuntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0001-9916-730X
Gliceida M Galarza FortunaHuntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Diya GargHuntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Richard JiHuntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Georges GebraelHuntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Neeraj AgarwalHuntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0003-1076-0428
Umang SwamiHuntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0003-3518-0411
Haoran LiDepartment of Medical Oncology, University of Kansas Cancer Center, Westwood, KS 66205, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent rise in telemedicine, notably during the COVID-19 pandemic, highlights the potential of integrating artificial intelligence tools in healthcare. This study assessed the effectiveness of ChatGPT versus medical oncologists in the telemedicine-based management of metastatic prostate cancer. In this retrospective study, 102 patients who met inclusion criteria were analyzed to compare the competencies of ChatGPT and oncologists in telemedicine consultations. ChatGPT's role in pre-charting and determining the need for in-person consultations was evaluated. The primary outcome was the concordance between ChatGPT and oncologists in treatment decisions. Results showed a moderate concordance (Cohen's Kappa = 0.43,

Indexed as

artificial intelligenceChatGPTmetastatic prostate cancertelemedicinevirtual clinic

Identifiers

PMID39272684
PMCPMC11394468

What OpenQuestion holds

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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.