Evidence map›Paper›PMID 35830994›Full record

Observational studySaudi medical journal2022

Endothelial dysfunction predicted cardiovascular events in patients with paroxysmal atrial fibrillation.

Jing Zhang, Qiang Tan, Wang Lina, Zhang Zhaoqian

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Saudi medical journal, 2022. 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
0.8field-weighted citation impact, top 26% 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. Hypertension Exacerbates Endothelial Dysfunction in Patients With Atrial Fibrillation.Journal of clinical hypertension (Greenwich, Conn.) · 2025
    Article
  2. Review
  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

4 authors at 1 institution in 1 country.

Jing ZhangFrom the Department of Cardiology, Qinhuangdao First Hospital, Hebei Medical University, Qinhuangdao, China.
Qiang TanFrom the Department of Cardiology, Qinhuangdao First Hospital, Hebei Medical University, Qinhuangdao, China.
Wang LinaFrom the Department of Cardiology, Qinhuangdao First Hospital, Hebei Medical University, Qinhuangdao, China.
Zhang ZhaoqianFrom the Department of Cardiology, Qinhuangdao First Hospital, Hebei Medical University, Qinhuangdao, China.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the relationship between endothelial dysfunction and adverse cardiovascular events in patients with paroxysmal atrial fibrillation (AF).

methodsIn this prospective observational study, flow-mediated dilation (FMD) was measured by ultrasound in 291 patients with paroxysmal AF. Then, the patients were divided into low FMD group (n=97, FMD of <5.9%) or high FMD group (n=194, FMD of ≥5.9%). Patients were followed up for at least 30 months. Primary end point was cardiovascular events (stroke, heart failure hospitalization, cardiovascular death, and non-fatal myocardial infarction) and second endpoint was heart failure hospitalization, or stroke.

resultsRate of cardiovascular events was higher in low FMD group compared with high FMD group (37.1% versus 18%,

conclusionIn patients with paroxysmal AF, endothelial dysfunction was associated with composite cardiovascular events. Flow-mediated dilation was a significant predictor of cardiovascular events in patients with paroxysmal AF.

Indexed as

Atrial FibrillationHeart FailureStrokeHumansProportional Hazards ModelsProspective StudiesRisk AssessmentRisk Factorscardiovascular eventendothelial functionflow mediated dilationheart failureparoxysmal atrial fibrillation

Identifiers

PMID35830994
PMCPMC9749696
OpenAlexW4285401174

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.