Evidence map›Paper›PMID 42699625›Full record

ArticleInternational journal of cardiology. Heart & vasculature2026

Epidemiology of pacemaker implantation in the community: findings from the Framingham Heart Study.

Jelena Kornej, Emelia J Benjamin, Patrick T Ellinor, Honghuang Lin, Ludovic Trinquart, Julian S Haimovich, Shaan Khurshid, Steven A Lubitz, Sarah R Preis

Abstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 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

9 authors.

Jelena KornejBoston University and NHLBI's Framingham Heart Study, Framingham, MA, USA.
Emelia J BenjaminBoston University and NHLBI's Framingham Heart Study, Framingham, MA, USA.
Patrick T EllinorCardiovascular Research Center, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.
Honghuang LinDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Ludovic TrinquartBoston University and NHLBI's Framingham Heart Study, Framingham, MA, USA.
Julian S HaimovichCardiovascular Research Center, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.
Shaan KhurshidCardiovascular Research Center, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.
Steven A LubitzCardiovascular Research Center, Heart and Vascular Institute, Mass General Brigham, Boston, MA, USA.
Sarah R PreisBoston University and NHLBI's Framingham Heart Study, Framingham, MA, USA.

Funding

FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · 2019 to 2024
$29.8M
IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
Using Electrocardiogram Genetics to Inform Arrhythmia RiskR01HL157635 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS, MIRSHAHI, TOORAJ · 2022 to 2025
$2.9M
Assessing Alzheimer disease risk and heterogeneity using multimodal machine learning approachesU01AG068221 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DESTEFANO, ANITA L, LIN, HONGHUANG · 2021 to 2024
$2.5M
Digital Cognitive Assessment of Preclinical Alzheimer's Disease and Related DementiasR01AG083735 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Rhoda Au, Vijaya B. Kolachalama · 2024 to 2026
$2.4M
Electrocardiogram-based deep learning and decision analysis to improve atrial fibrillation risk estimationK23HL169839 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Shaan Khurshid · 2023 to 2026
$860k
Sleep pathology and cardiac agingR21HL175584 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LIN, HONGHUANG, THOMAS, ROBERT JOSEPH · 2024 to 2025
$233k
NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS K23 HL169839NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL157635NHLBI NIH HHS R21 HL175584NIA NIH HHS R01 AG083735NIA NIH HHS U01 AG068221
6 · The paper itself

Abstract

Background: The epidemiology of permanent pacemaker [PPM] implantation in the community setting is unclear. Methods: We examined Framingham Heart Study cohort participants aged ≥45 years, without a history of PPM, who attended ≥1 exam cycle during 1972-2019. Fine-Gray subdistribution hazard models were used to calculate subdistribution hazard ratios [sHR] and 95% confidence intervals [CI] for the association between clinical characteristics (age, sex, body mass index [BMI], systolic and diastolic blood pressure [BP], smoking, hypertension treatment, diabetes, history of atrial fibrillation [AF], myocardial infarction, and heart failure) and incident PPM implantation. For continuous measures, sHRs were expressed per 1 standard deviation [SD]. Multiple imputation was used to account for missing data. Results: A total of 11,993 participants contributed 44,711 exam cycles (mean age 63 ± 11 years, 56% women) to the analysis. During follow-up (mean 4.9 ± 2.2 years), there were 382 PPM implantations and 4298 deaths. In multivariable-adjusted models, the following factors were associated with incident PPM implantation: age (sHR [per 1 SD = 11 years] =1.39), female sex (sHR = 0.49), BMI (sHR [per 1 SD = 5.1 kg/m Conclusions: Higher age, BMI, systolic BP, hypertension treatment, and history of AF were associated with increased rate of PPM implantation, while female sex, smoking, and diastolic BP showed an inverse association. Further study is needed to confirm these findings.

Indexed as

Body mass indexEpidemiologyHypertensionPacemaker implantation

Identifiers

PMID42699625
PMCPMC13543974

What OpenQuestion 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 OpenQuestion graph.