Evidence map›Paper›PMID 31394871›Full record

ArticleJournal of clinical medicine2019

Effects of Prevalent and Incident Chronic Kidney Disease on Cardiovascular Events in Patients with Atrial Fibrillation.

Hsuan-Yu Lin, Chew-Teng Kor, Yao-Peng Hsieh, Ping-Fang Chiu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
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 2 institutions in 1 country.

Hsuan-Yu LinDepartment of Internal Medicine, Changhua Christian Hospital, Changhua 50006, Taiwan.
Chew-Teng KorDepartment of Internal Medicine, Changhua Christian Hospital, Changhua 50006, Taiwan.
Yao-Peng HsiehDivision of Nephrology, Department of Internal Medicine, Changhua Christian Hospital, Changhua 50006, Taiwan. 102407@cch.org.tw.
Ping-Fang ChiuDivision of Nephrology, Department of Internal Medicine, Changhua Christian Hospital, Changhua 50006, Taiwan. 68505@cch.org.tw.
Changhua Christian Hospital · TWChung Shan Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is a well-known complication of atrial fibrillation (AF) but how the incident CKD affects the clinical outcomes amongst AF patients is not clear.

methodsOur study data were retrieved from National Health Insurance Research Data for the period from 1996 to 2013. Incident AF patients were classified as non-CKD group (

resultsThe mean age was 70.8 ± 13.3 years, and 55.4% of the studied population were men. In Cox models, the adjusted rate of HF, AMI, all-cause mortality, and CV mortality was greater in the prevalent and incident CKD groups, ranging from 1.31-fold to 4.28-fold, compared with non-CKD group. Notably, incident CKD was associated with higher rates of HF (HR, 1.8; 95% CI, 1.67-1.93), stroke or systemic thromboembolism (HR, 1.33; 95% CI, 1.22-1.45), AMI (HR, 1.46; 95% CI, 1.25-1.71), all-cause mortality (HR, 1.76; 95% CI, 1.68-1.85), and CV mortality (HR, 2.13; 95% CI, 1.92-2.36) compared with prevalent CKD.

conclusionThe presence of CKD was associated with higher risks of subsequent adverse clinical outcomes in patients with AF. Our study was even highlighted by the finding that incident CKD was linked to higher risks of outcome events compared with prevalent CKD.

Indexed as

atrial fibrillation (AF), chronic kidney disease (CKD), mortalitymyocardial infarctionstroke

Identifiers

PMID31394871
PMCPMC6723547
OpenAlexW2964925774

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.