Evidence map›Paper›PMID 28670057›Full record

ReviewProceedings (Baylor University. Medical Center)2017

Review of screening studies for atrial fibrillation in rural populations of 11 countries.

Alex I Gavino, Craig S McLachlan

Open access · bronzeAbstract readReview
In one paragraph

Review in Proceedings (Baylor University. Medical Center), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

2 authors at 1 institution in 1 country.

Alex I GavinoRural Clinical School, Faculty of Medicine, University of New South Wales, Sydney, Australia.
Craig S McLachlanRural Clinical School, Faculty of Medicine, University of New South Wales, Sydney, Australia.
UNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is a common cardiac arrhythmia, and pathological burden can be influenced by environmental factors. The rural environment may influence the burden of AF, although no systematic review studies have been conducted to address this issue. We performed a systematic review of AF screening studies conducted in rural global populations to determine the burden, risk factors, and screening methods surrounding AF in these settings. Out of the 1792 articles gathered from a keyword search of medical databases and reference lists, 18 publications from 11 countries were included in our analysis. The pooled prevalence of AF across the studies was 2.05% (95% confidence interval, 1.97%-2.13%) and ranged from 0.3% to 10.87%. Only one study utilized a handheld electrocardiogram to screen AF, while the rest used the 12-lead electrocardiogram. AF risk factors reported across studies varied and included increasing age, male gender, hypertension, diabetes, prior myocardial infarction or stroke, obesity, hyperlipidemia/hypercholesterolemia, alcohol consumption, and heart failure. However, none of the studies assessed all risk factors. We suggest that future research on AF in rural communities examine a complete checklist of AF risk factors to better understand their influence on AF burden and development. This will aid in understanding rural prevention strategies and the management of detected AF cases specific to rural areas. At present, the burden of AF in rural communities is poorly understood and has been underreported.

Identifiers

PMID28670057
PMCPMC5468013
OpenAlexW2775709588

What OpenQuestion holds

Textmetadata
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.