Evidence map›Paper›PMID 32165880›Full record

ArticleJournal of geriatric cardiology : JGC2020

Atrial fibrillation among Russian men and women aged 55 years and older: prevalence, mortality, and associations with biomarkers in a population-based study.

Maria A Shkolnikova, Dmitri A Jdanov, Rukizhat A Ildarova, Natalia V Shcherbakova, Ekaterina B Polyakova, Evgeny N Mikhaylov, Svetlana A Shalnova, Vladimir M Shkolnikov

Abstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Characterization of hERG KNaunyn-Schmiedeberg's archives of pharmacology · 2024
    Article
  4. Article
  5. Article
  6. Atrial fibrillation in low- and middle-income countries: a narrative review.European heart journal supplements : journal of the European Society of Cardiology · 2020
    Article
  7. 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

8 authors at 3 institutions in 2 countries.

Maria A ShkolnikovaVeltischev Research and Clinical Institute for Pediatrics of the Pirogov Russian National Research Medical University, Moscow, Russian Federation.
Dmitri A JdanovLaboratory of Demographic Data, Max Planck Institute for Demographic Research, Rostock, Germany.
Rukizhat A IldarovaVeltischev Research and Clinical Institute for Pediatrics of the Pirogov Russian National Research Medical University, Moscow, Russian Federation.
Natalia V ShcherbakovaVeltischev Research and Clinical Institute for Pediatrics of the Pirogov Russian National Research Medical University, Moscow, Russian Federation.
Ekaterina B PolyakovaVeltischev Research and Clinical Institute for Pediatrics of the Pirogov Russian National Research Medical University, Moscow, Russian Federation.
Evgeny N MikhaylovArrhythmia Department and Neuromodulation Laboratory, Almazov National Medical Research Centre, Saint-Petersburg, Russian Federation.
Svetlana A ShalnovaNational Research Center for Preventive Medicine, Moscow, Russian Federation.
Vladimir M ShkolnikovLaboratory of Demographic Data, Max Planck Institute for Demographic Research, Rostock, Germany.
Pirogov Russian National Research Medical University · RUMax Planck Institute for Demographic Research · DENational Research Center for Preventive Medicine · RU

Funding

The Impact of Family Labor Market Status on Access to Health CareP20MD002314 · NIMHD · UNIVERSITY OF SOUTH ALABAMA · PI CROOK, ERROL D · 2007 to 2016
$12.9M
THE RANGE OF MALE-FEMALE MORTALITY DIFFERENCESP01AG031719 · NIA · DUKE UNIVERSITY · PI ZENG, YI · 2009 to 2020
$10.2M
Biodemography of Disease and Death in MoscowR01AG026786 · NIA · DUKE UNIVERSITY · PI VAUPEL, JAMES W. · 2006 to 2010
$1.9M
NIA NIH HHS P01 AG031719NIA NIH HHS R01 AG026786NIMHD NIH HHS P20 MD002314
6 · The paper itself

Abstract

objectiveTo examine the prevalence of atrial fibrillation (AF), its impacts on cardiovascular disease (CVD) and all-cause mortality, and the associations between AF and inflammatory and serum biomarkers in a population-based sample of Muscovites.

methodsThe study is a secondary analysis of data from the Stress, Aging and Health in Russia (SAHR) survey that includes information on 1800 individuals with an average age of 68.5 years at baseline, and on their subsequent mortality during 7.4 years on average. AF is detected by 12-lead electrocardiogram (ECG) and 24-hour Holter monitoring. The statistical analysis includes proportional hazard and logistic regression models.

resultsOf the 1732 participants with relevant Holter data, AF was detected in 100 (74 by ECG and Holter, 26 by Holter only). The prevalence of AF was 5.8% for men and 7.4% for women. The fully adjusted model showed strongly elevated hazard of CVD and all-cause mortality in men and women with long non-self-limiting AF (LAF). LAF was found to be negatively associated with elevated total and low-density lipoprotein cholesterol and to be positively associated with elevated markers of inflammation in women.

conclusionsThe study assessed for the first time the prevalence and the risks of death related to AF among older Russians. LAF was shown to be a strong and independent predictor of CVD and all-cause mortality. AF is unlikely to contribute to the large excess male mortality in Russia. The finding that one-quarter of AF cases were detected only by Holter monitoring demonstrates the usefulness of diagnostics with prolonged ECG registration.

Indexed as

AgingAtrial fibrillationGender differencesHolter monitoringMortalityPrevalence

Identifiers

PMID32165880
PMCPMC7051868
OpenAlexW3012889693

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.