Evidence map›Paper›PMID 41954540›Full record

ArticleJACC. Case reports2026

Successful Management of Chest Pain Through Cardiac Autonomic Rehabilitation.

Jun Yang, Riwang Wang, Rongjing Ding

Abstract readCase Reports
In one paragraph

Article in JACC. Case reports, 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
–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

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.

Jun YangDepartment of Physical Medicine and Rehabilitation, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China; Department of Cardiology, People's Hospital of Peng'an City, Pengan, Sichuan, China.
Riwang WangDepartment of Physical Medicine and Rehabilitation, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Rongjing DingDepartment of Physical Medicine and Rehabilitation, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China; Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China. Electronic address: drj2003@vip.163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSome patients experience persistent chest pain after complete coronary revascularization without evidence of ischemia. Dysautonomia may be the underlying cause. CASE SUMMARY: A 43-year-old man with recurrent chest pain after multivessel revascularization showed poor response to standard cardiac rehabilitation. Evaluation revealed significant autonomic dysfunction (sympathetic overactivation), not ischemia. After implementing an integrated autonomic-regulation protocol (low-intensity aerobic exercise combined with abdominal breathing, standing meditation, and mindful walking), his symptoms and functional capacity improved markedly. DISCUSSION: Autonomic imbalance is a key pathophysiology. Success required a paradigm shift from the standardized cardiac rehabilitation exercise outlined in current international guidelines to a neural regulation-centered approach. TAKE-HOME MESSAGES: When developing cardiac rehabilitation plans, full account should be taken of the impact of the cardiac autonomic nervous system on symptoms, including palpitations, chest tightness, and chest pain. The targeted integration of neural regulation training leads to concurrent improvement in both clinical symptoms and functional status.

Indexed as

exerciselifestylemyocardial infarction

Identifiers

PMID41954540
PMCPMC13184842

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.