Evidence map›Paper›PMID 42127529›Full record

ArticleJACC. Advances2026

Trends in Cardiovascular Mortality by Educational Attainment in the United States, 2010 to 2023.

John C Lin, Lauren A Eberly, Ashwin S Nathan, Rebecca Arden Harris, Sameed Ahmed M Khatana

Abstract read
In one paragraph

Article in JACC. Advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

John C LinDivision of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Lauren A EberlyDivision of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Cardiovascular Outcomes, Quality, and Evaluative Research (CAVOQER) Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ashwin S NathanDivision of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Cardiovascular Outcomes, Quality, and Evaluative Research (CAVOQER) Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Rebecca Arden HarrisLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sameed Ahmed M KhatanaDivision of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Cardiovascular Outcomes, Quality, and Evaluative Research (CAVOQER) Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA. Electronic address: sameed.khatana@pennmedicine.upenn.edu.

Funding

The impact of the Supplemental Nutrition Assistance Program on the cardiovascular health of low-income adultsR01HL171157 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Sameed Ahmed Mustafa Khatana · 2024 to 2026
$2.1M
NHLBI NIH HHS R01 HL171157
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

cardiovascular mortalityeducational attainmenthealth disparitiespopulation health

Identifiers

PMID42127529
PMCPMC13195324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.