Evidence map›Paper›PMID 39698043›Full record

ArticleInternational journal of general medicine2024

The Effect of Cardiopulmonary Exercise Ability to Clinical Outcomes of Patients with Coronary Artery Disease Undergoing Percutaneous Coronary Intervention.

Wen Zhang, Jinguo Xu

Abstract read
In one paragraph

Article in International journal of general medicine, 2024. 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
–field-weighted citation impact
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.

  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

2 authors.

Wen ZhangThe Second Affiliated Hospital of Anhui Medical University, Cardiovascular Department for Gerontism, HeFei, People's Republic of China.
Jinguo XuThe First Affiliated Hospital of Anhui Medical University, Department of Cardiovascular Surgery, HeFei, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the relationship between the cardiopulmonary function and prognosis of patients with coronary heart disease after percutaneous coronary intervention (PCI). Methods: A total of 153 patients with coronary heart disease who underwent PCI from January 2018 to April 2020 were enrolled in this study. Through careful assessment, cardiopulmonary exercise test (CPX) was performed 5 to 7 days after PCI. Patients were followed up every 3 months by outpatient examination or telephone visiting for 3 years after discharge. Clinical outcomes were followed up, including cardiac death, rehospitalization, heart failure, atrial fibrillation, stroke and transient ischemic attack. A single clinical event was defined as a poor prognosis and divided into a good prognosis group and a poor prognosis group according to the prognosis. By comparing the cardiorespiratory fitness (CRF) variables and clinical parameters, the variables that may affect the prognosis of patients were determined. Results: CRF decreased significantly in the poor prognosis group, and peak VO2, VO2/kg AT, PETCO2 and OUES decreased compared with the good prognosis group, and the differences were statistically significant. Heart rate reserve (HRR) increased in the poor prognosis group compared with the good prognosis group, and the difference was statistically significant. Among them, peak VO2 and acute myocardial infarction were independent risk factors for poor prognosis. Conclusion: Peak VO2 is an independent risk factor for the prognosis of cardiovascular disease after PCI for coronary heart disease.

Indexed as

cardiopulmonary exercise testingcoronary heart diseasepercutaneous coronary intervention

Identifiers

PMID39698043
PMCPMC11653874

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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.