Evidence map›Paper›PMID 39129993›Full record

ArticleJACC. Advances2024

Sex, Age, and Patient Experience in Cardiologist Reviews: A Large-Scale Artificial Intelligence-Enabled Analysis.

Andrew Yang, Fatima Rodriguez, Jennifer P Woo

Abstract read
In one paragraph

Article in JACC. Advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Andrew YangDepartment of Medicine, Division of Cardiology, Stanford University, Palo Alto, California, USA.
Fatima RodriguezDepartment of Medicine, Division of Cardiology, Stanford University, Palo Alto, California, USA.
Jennifer P WooDepartment of Medicine, Division of Cardiology, Stanford University, Palo Alto, California, USA.

Funding

Adherence Determinants in the Health Electronic Record Evaluation of Statins (ADHERES)R01HL168188 · NHLBI · STANFORD UNIVERSITY · PI Fatima Rodriguez · 2024 to 2026
$2.1M
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 HL144607NHLBI NIH HHS R01 HL168188
6 · The paper itself

Abstract

Background: Patients are increasingly using online reviews to evaluate cardiologists. Online reviews can provide insights into factors driving patient satisfaction. Little is known about the effects of age and sex on the patient experience with cardiologists. Objectives: The purpose of this study was to apply natural language processing techniques on online reviews to determine the factors underlying positive and negative patient experiences and the effects of age and sex on the patient experience with cardiologists. Methods: Mixed effects logistic regression and sentiment analysis were applied to online cardiologist reviews from Healthgrades between 1998 and 2023. The results were then analyzed by sex and age to show trends with respect to rating statistics, sentiment analysis, and frequency of 2-word phrases. Results: There were 100,334 online reviews of 9,461 cardiologists. Female cardiologists received lower average ratings compared to male cardiologists and were 34.5% less likely to receive a positive review (OR: 0.655; 95% CI: 0.481-0.893; Conclusions: Positive reviews were associated with cardiologists being comprehensive and patients feeling a sense of trust in the relationship. There was a difference in ratings based on age and sex with female and older cardiologists receiving lower ratings.

Indexed as

agegender biashealth equitynatural language processingonline reviews

Identifiers

PMID39129993
PMCPMC11312787

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.