Evidence map›Paper›PMID 40313274›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Representation of Older Adults and Women in Randomized Trials of Non-Invasive Imaging for Chest Pain.

Phillip Lim, Tansu Eris, Leslee J Shaw, Laura Gelfman, Annetine Gelijns, Alan Moskowitz, Emilia Bagiella, Fay A Lin, Deepak L Bhatt, Gregg Stone and 5 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Phillip Lim
Tansu Eris
Leslee J Shaw
Laura Gelfman
Annetine Gelijns
Alan Moskowitz
Emilia Bagiella
Fay A Lin
Deepak L Bhatt
Gregg Stone
R Sean Morrison
David Cohen
Michael Nanna
Karen Alexander
Krishna K Patel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-invasive imaging is widely used both for initial diagnosis and to guide management of ischemic heart disease (IHD). Older adults and women with IHD may have different responses to imaging as well as to treatments and outcomes that follow compared with younger adults and men. We aimed to study the representation of older adults and women in randomized controlled trials (RCT) of non-invasive imaging among patients with acute and stable chest pain. Methods: We conducted a systematic search to identify RCTs evaluating non-invasive, imaging-guided diagnosis and management for IHD that were published before September 1, 2023. Participation-to-Prevalence Ratio (PPR) was estimated for women and age subgroups of <65, 65-74, ≥75 years. PPR of <0.8, 0.8-1.2, and >1.2 indicated underrepresentation, appropriate representation, and overrepresentation, respectively. Results: Among 53 RCTs, sex and age breakdown were available in 53 (n=55,893) and 21 trials (n=35,503), respectively. The median age across all trials was 57.4 years [IQR: 55.0- 60.2]. Participants aged <65 years were overrepresented with a median PPR 2.13 [IQR: 1.73- 2.43], while those aged 65-74 years and ≥75 years were underrepresented with median PPRs of 0.74 [IQR: 0.56-0.83] and 0.21 [IQR: 0.11-0.33], respectively. Women were adequately represented with a median PPR of 1.2 [1.06-1.32]. Conclusion: While women were appropriately represented, adults 65 years or older, especially those ≥75 years, were under-represented in these trials. Future RCTs on non-invasive imaging should target enrollment of older adults to ensure generalizability of results to this growing population. CLINICAL PERSPECTIVE: In a systematic review of 53 randomized controlled trials of non-invasive imaging for chest pain published before September 1, 2023 (n=55,893 participants), adults aged 65 years and older, especially those aged 75 years and above, were significantly underrepresented, whereas women had representation proportional to prevalence estimates. These findings highlight an urgent need to increase enrollment of older adults in future imaging trials to ensure broader applicability and relevance of study results. Abstract Figure:

Identifiers

PMID40313274
PMCPMC12045410

What Socratic holds

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Registered trials

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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 Socratic graph.