Evidence map›Paper›PMID 39130046›Full record

ArticleJACC. Advances2024

Frequency of Electrocardiogram-Defined Cardiac Conduction Disorders in a Multi-Institutional Primary Care Cohort.

Julian S Haimovich, Paolo Di Achille, Victor Nauffal, Pulkit Singh, Christopher Reeder, Xin Wang, Gopal Sarma, Jelena Kornej, Emelia J Benjamin, Anthony Philippakis and 4 more

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

14 authors.

Julian S HaimovichDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Paolo Di AchilleData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Victor NauffalCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Pulkit SinghData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Christopher ReederData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Xin WangCardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Gopal SarmaData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Jelena KornejDivision of Cardiovascular Medicine, Department of Medicine, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
Emelia J BenjaminDivision of Cardiovascular Medicine, Department of Medicine, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
Anthony PhilippakisData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Puneet BatraData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Patrick T EllinorCardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Steven A LubitzCardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Shaan KhurshidCardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.

Funding

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
Genomics of Cardiac ArrhythmiasR01HL139731 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS · 2018 to 2022
$3.3M
CAPSITE: Community Assessment of Pain and Sensitization in the ElderlyR01AG066010 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., EDWARDS, ROBERT R · 2020 to 2025
$3.3M
Eicosanoid Profiles as Determinants of HFpEFR01HL140224 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HO, JENNIFER E · 2018 to 2021
$3.1M
Using Electrocardiogram Genetics to Inform Arrhythmia RiskR01HL157635 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS, MIRSHAHI, TOORAJ · 2022 to 2025
$2.9M
The Association of Metabolic Disease and Pulmonary HypertensionR01HL134893 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HO, JENNIFER E · 2017 to 2021
$2.9M
MGH Next Generation Physician-Scientist Through Stimulating Access to Research in Residency Program (MGH-Next Gen StARR)R38HL150212 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI VYAS, JATIN M · 2020 to 2023
$1.3M
Electrocardiogram-based deep learning and decision analysis to improve atrial fibrillation risk estimationK23HL169839 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Shaan Khurshid · 2023 to 2026
$860k
Mentoring in Patient-Oriented and Translational HFpEF ResearchK24HL153669 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Jennifer E Ho · 2020 to 2026
$744k
NHLBI NIH HHS K23 HL169839NHLBI NIH HHS K24 HL153669NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL134893NHLBI NIH HHS R01 HL139731NHLBI NIH HHS R01 HL140224NHLBI NIH HHS R01 HL157635NHLBI NIH HHS R38 HL150212NIA NIH HHS R01 AG066010
6 · The paper itself

Abstract

Background: Disorders affecting cardiac conduction are associated with substantial morbidity. Understanding the epidemiology and risk factors for conduction disorders may enable earlier diagnosis and preventive efforts. Objectives: The purpose of this study was to quantify contemporary frequency and risk factors for electrocardiogram (ECG)-defined cardiac conduction disorders in a large multi-institutional primary care sample. Methods: We quantified prevalence and incidence of conduction disorders among adults receiving longitudinal primary care between 2001 and 2019, each with at least one 12-lead ECG performed prior to the start of follow-up and at least one ECG during follow-up. We defined conduction disorders using curated terms extracted from ECG diagnostic statements by cardiologists. We grouped conduction disorders by inferred anatomic location of abnormal conduction. We tested associations between clinical factors and incident conduction disease using multivariable proportional hazards regression. Results: We analyzed 189,163 individuals (median age 55 years; 58% female). The overall prevalence of conduction disorders was 27% among men and 15% among women. Among 119,926 individuals (median age 55 years; 51% female), 6,802 developed an incident conduction system abnormality over a median of 10 years (Q1, Q3: 6, 15 years) of follow-up. Incident conduction disorders were more common in men (8.78 events/1,000 person-years) vs women (4.34 events/1,000 person-years, Conclusions: Cardiac conduction disorders are common in a primary care population, especially among older individuals with cardiovascular risk factors.

Indexed as

conduction diseaseelectrocardiogramepidemiology

Identifiers

PMID39130046
PMCPMC11312782

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.