Evidence map›Paper›PMID 31125096›Full record

ArticleJAMA network open2019

Risk Factors Associated With Atrioventricular Block.

Tuomas Kerola, Antti Eranti, Aapo L Aro, M Anette Haukilahti, Arttu Holkeri, M Juhani Junttila, Tuomas V Kenttä, Harri Rissanen, Eric Vittinghoff, Paul Knekt and 3 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

58 citing papers in PubMed, 107 citations in OpenAlex.

  1. Trial
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  8. Left Ventricular Ejection Fraction and Incident Cardiac Conduction Dysfunction: Exploring the Mediating Effects of Electrophysiological Parameters.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
    Article
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  15. Leucocyte telomere length and conduction system ageing.Heart (British Cardiac Society) · 2025
    Article
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  19. Article
  20. Review
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

13 authors at 5 institutions in 2 countries.

Tuomas KerolaDepartment of Internal Medicine, Päijät-Häme Central Hospital, Lahti, Finland.
Antti ErantiDepartment of Internal Medicine, Päijät-Häme Central Hospital, Lahti, Finland.
Aapo L AroDivision of Cardiology, Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland.
M Anette HaukilahtiResearch Unit of Internal Medicine, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland.
Arttu HolkeriDivision of Cardiology, Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland.
M Juhani JunttilaResearch Unit of Internal Medicine, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland.
Tuomas V KenttäResearch Unit of Internal Medicine, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland.
Harri RissanenThe National Institute for Health and Welfare, Helsinki, Finland.
Eric VittinghoffDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Paul KnektThe National Institute for Health and Welfare, Helsinki, Finland.
Markku HeliövaaraThe National Institute for Health and Welfare, Helsinki, Finland.
Heikki V HuikuriResearch Unit of Internal Medicine, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland.
Gregory M MarcusElectrophysiology Section, Division of Cardiology, University of California, San Francisco.
Oulu University Hospital · FIFinnish Institute for Health and Welfare · FIUniversity of California, San Francisco · USHelsinki University Hospital · FIPäijät-Hämeen Keskussairaala · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Pacemaker implantations as a treatment for atrioventricular (AV) block are increasing worldwide. Prevention strategies for AV block are lacking because modifiable risk factors have not yet been identified. Objective: To identify risk factors for AV block in community-dwelling individuals. Design, Setting, and Participants: In this population-based cohort study, data from the Mini-Finland Health Survey, conducted from January 1, 1978, to December 31, 1980, were used to examine demographics, comorbidities, habits, and laboratory and electrocardiographic (ECG) measurements as potential risk factors for incident AV block. Data were ascertained during follow-up from January 1, 1987, through December 31, 2011, using a nationwide registry. A total of 6146 community-dwelling individuals were included in the analysis performed from January 15 through April 3, 2018. Main Outcomes and Measures: Incidence of AV block (hospitalization for second- or third-degree AV block). Results: Among the 6146 participants (3449 [56.1%] women; mean [SD] age, 49.2 [12.9] years), 529 (8.6%) had ECG evidence of conduction disease and 58 (0.9%) experienced a hospitalization with AV block. Older age (hazard ratio [HR] per 5-year increment, 1.34; 95% CI, 1.16-1.54; P < .001), male sex (HR, 2.04; 95% CI, 1.19-3.45; P = .01), a history of myocardial infarction (HR, 3.54; 95% CI, 1.33-9.42; P = .01), and a history of congestive heart failure (HR, 3.33; 95% CI, 1.10-10.09; P = .03) were each independently associated with AV block. Two modifiable risk factors were also independently associated with AV block. Every 10-mm Hg increase in systolic blood pressure was associated with a 22% higher risk (HR, 1.22; 95% CI, 1.10-1.34; P = .005), and every 20-mg/dL increase in fasting glucose level was associated with a 22% higher risk (HR, 1.22; 95% CI, 1.08-1.35; P = .001). Both risk factors remained statistically significant (HR for systolic blood pressure, 1.26 [95% CI, 1.06-1.49; P = .007]; HR for glucose level, 1.22 [95% CI, 1.04-1.43; P = .01]) after adjustment for major adverse coronary events during the follow-up period. In population-attributable risk assessment, an estimated 47% (95% CI, 8%-67%) of AV blocks may have been avoided if all participants exhibited ideal blood pressure and 11% (95% CI, 2%-21%) may have been avoided if all had a normal fasting glucose level. Conclusions and Relevance: In this analysis of data from a population-based cohort study, suboptimal blood pressure and fasting glucose level were associated with AV block. These results suggest that a large proportion of AV blocks are assocated with these risk factors, even after adjusting for other major adverse coronary events.

Indexed as

AdultAge FactorsAtrioventricular BlockBlood GlucoseBlood PressureCohort StudiesCross-Sectional StudiesFemaleHealth SurveysHumansIndependent LivingMaleMiddle AgedRegistriesRisk FactorsSex FactorsBlood Glucose

Identifiers

PMID31125096
PMCPMC6632153
OpenAlexW2946792168

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.