Evidence map›Paper›PMID 42666499›Full record

ArticleFrontiers in medicine2026

A retrospective study on the impact of SARS-CoV-2 infection on cardiopulmonary function in a healthy Chinese cohort: a focus on "long COVID".

Yingzhe Chen, Rui Li, Zhuhua Zhang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yingzhe ChenDepartment of Cardiology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Rui LiDepartment of Cardiology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Zhuhua ZhangDepartment of Cardiology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This retrospective study aimed to observe the cardiopulmonary function and lingering symptoms in previously healthy individuals with Long COVID using Cardiopulmonary Exercise Testing (CPET), the gold standard for evaluating integrated human physiological function. Methods: A retrospective analysis was conducted on 73 subjects who completed CPET at Beijing Hospital of Traditional Chinese Medicine from January 2023 to April 2023. Participants were consecutively included and comprised 42 patients with confirmed SARS-CoV-2 infection and persistent symptoms (Long COVID group) and 31 healthy controls with no history of COVID-19 (Normal control group). The sample size was determined by the total number of eligible patients who consecutively underwent CPET during the study period, and a post-hoc power analysis confirmed sufficient power (>80%) to detect the observed differences in the primary endpoint (peak Results: There were 13 males and 18 females in the normal control group and12 males and 30 females in the Long COVID group. No statistical differences were observed in age, sex, height, or weight between the two groups ( Conclusion: This retrospective analysis confirms that SARS-CoV-2 infection has a significant and not merely short-term impact on the integrated cardiopulmonary and musculoskeletal function. Even after turning negative, individuals exhibit a wide range of symptoms affecting the respiratory, circulatory, and nervous systems. The observed reduction in peak systolic blood pressure, cardiac power, and the ρ

Indexed as

cardiopulmonary exercise testingcardiopulmonary fitnesslong COVIDoverall functional limitationspost-COVID-19 sequelaeretrospective studySARS-CoV-2

Identifiers

PMID42666499
PMCPMC13522194

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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.