Evidence map›Paper›PMID 36588547›Full record

ArticleFrontiers in cardiovascular medicine2022

Non-specific electrocardiographic ST-T abnormalities predict mortality in patients on peritoneal dialysis.

Xiaojiang Zhan, Chuanfei Zeng, Jiajing He, Menghui Wang, Jun Xiao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

5 authors at 3 institutions in 1 country.

Xiaojiang ZhanDepartment of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Chuanfei ZengJiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Jiajing HeJiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Menghui WangJiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Jun XiaoDepartment of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
First Affiliated Hospital of Jiangxi Medical College · CNNanchang University · CNFirst Affiliated Hospital of Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to evaluate the predictive value of non-specific ST-segment and/or T-wave abnormalities in electrocardiography (ECG) for all-cause and cardiovascular mortality (CVM) in peritoneal dialysis (PD) patients. Methods: All patients who started PD between November 1, 2005, and February 28, 2017, at the First Affiliated Hospital of Nanchang University were enrolled. The primary outcomes were all-cause mortality and CVM. The Kaplan-Meier method and a log-rank test were used for the survival analysis. Multivariate Cox proportional hazards models were used to investigate the risk factors for all-cause mortality and CVM. Results: A total of 724 eligible PD patients were enrolled, including 401 (55.4%) men. In total, 153 (21.1%) patients died during a mean follow-up period of 27 (interquartile range, 13-41) months, and cardiovascular death was responsible for 84 of these deaths. The patients with non-specific ST-T abnormalities (NSSTTAs) had lower overall and cardiovascular survival rates compared to those free from any ECG abnormalities. According to the multivariate Cox proportional hazards models, (NSSTTAs) are independent risk factors for all-cause mortality and CVM, the hazard ratios are 1.81 (95% confidence interval, 1.11-2.95; Conclusion: Non-specific ST-T abnormalities can serve as risk markers of all-cause and CVM in PD patients.

Indexed as

cardiovascular diseaseselectrocardiogrammortalitynon-specific ST-T abnormalitiesperitoneal dialysis

Identifiers

PMID36588547
PMCPMC9798218
OpenAlexW4312225158

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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.