Evidence map›Paper›PMID 36735264›Full record

ArticleJAMA2023

Appropriateness of Cardiovascular Disease Prevention Recommendations Obtained From a Popular Online Chat-Based Artificial Intelligence Model.

Ashish Sarraju, Dennis Bruemmer, Erik Van Iterson, Leslie Cho, Fatima Rodriguez, Luke Laffin

Abstract read
In one paragraph

Article in JAMA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 218 papers.

0numbers the graph read from it
0cells of the map it votes in
218citing 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

218 citing papers in PubMed.

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  18. ChatGPT in precision medicine.APL bioengineering · 2026
    Review
  19. Review
  20. Article

158 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ashish SarrajuDepartment of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio.
Dennis BruemmerDepartment of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio.
Erik Van ItersonDepartment of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio.
Leslie ChoDepartment of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio.
Fatima RodriguezDivision of Cardiovascular Medicine, Stanford University, Stanford, California.
Luke LaffinDepartment of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio.

Funding

SURPASS: (Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in minority Subgroups)K01HL144607 · NHLBI · STANFORD UNIVERSITY · PI RODRIGUEZ, FATIMA · 2019 to 2023
$856k
NHLBI NIH HHS K01 HL144607
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceCardiovascular DiseasesConsumer Health InformationSocial MediaComputer SimulationDelivery of Health CareHumans

Identifiers

PMID36735264
PMCPMC10015303

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.