Evidence map›Paper›PMID 40792372›Full record

ArticleAnesthesia and pain medicine2025

Diagnostic value of visual stethoscopes for detecting bronchospasm in a patient under general anesthesia - A case report.

Jaeeun Song, Baehun Moon, Hyun-Seok Kim, Woo-Young Seo, Woo Jin Kim, Sung-Hoon Kim

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Anesthesia and pain medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Jaeeun SongDepartment of Anesthesiology and Pain Medicine, Asan Medical Center, Brain Korea 21 Project, University of Ulsan College of Medicine, Seoul, Korea.
Baehun MoonDepartment of Anesthesiology and Pain Medicine, Asan Medical Center, Brain Korea 21 Project, University of Ulsan College of Medicine, Seoul, Korea.
Hyun-Seok KimDepartment of Anesthesiology and Pain Medicine, Asan Medical Center, Brain Korea 21 Project, University of Ulsan College of Medicine, Seoul, Korea.
Woo-Young SeoBiomedical Engineering Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Korea.
Woo Jin KimDepartment of Anesthesiology and Pain Medicine, Asan Medical Center, Brain Korea 21 Project, University of Ulsan College of Medicine, Seoul, Korea.
Sung-Hoon KimDepartment of Anesthesiology and Pain Medicine, Asan Medical Center, Brain Korea 21 Project, University of Ulsan College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBronchospasm is a rare but potentially life-threatening complication during anesthesia that requires prompt recognition and management. Traditional auscultation plays a key role but is limited in objective interpretation and continuous monitoring. CASE: We report a case of intraoperative bronchospasm during laparoscopic surgery, detected early through real-time acoustic visualization using a digitalized esophageal stethoscope. The visualization of lung sounds facilitated the rapid identification of expiratory wheezing and abnormal spectrogram patterns characteristic of bronchospasm. Immediate intervention with a bronchodilator resolved the condition without further complications.

conclusionsThis case demonstrates the utility of visual stethoscopes in enhancing perioperative respiratory management. Real-time visualization and quantification of lung sounds offer anesthesiologists a valuable tool for early diagnosis and collaborative decision-making during critical respiratory events.

Indexed as

Acoustic signalBronchial spasmEsophageal stethoscopesMedical devicesPhysiologic monitoringSoundSpectrograms

Identifiers

PMID40792372
PMCPMC12340691

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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.