Evidence map›Paper›PMID 35265648›Full record

ArticleFrontiers in medicine2022

Use of Electronic Auscultation in Full Personal Protective Equipment to Detect Ventilation Status in Selective Lung Ventilation: A Randomized Controlled Trial.

Tzu-Jung Wei, Ping-Yan Hsiung, Jen-Hao Liu, Tzu-Chun Lin, Fang-Tzu Kuo, Chun-Yu Wu

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07280546 (Analysis of Breath Sounds During Surgery), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 43% 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.

NCT07280546 recruitingnot on this mapstarted 2025, after this paper: background citation

Analysis of Breath Sounds During Surgery

TypeobservationalSponsorTaipei Veterans General Hospital, TaiwanRan2025 to 2026Enrolled30ConditionsGeneral Anesthesia, Intraoperative Monitoring, Respiratory SoundsArmsElectronic stethoscope monitoring
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 4 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Tzu-Jung WeiDepartment of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan.
Ping-Yan HsiungDepartment of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan.
Jen-Hao LiuDepartment of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan.
Tzu-Chun LinDepartment of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan.
Fang-Tzu KuoDepartment of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan.
Chun-Yu WuDepartment of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan.
National Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chest auscultation is the first procedure performed to detect endotracheal tube malpositioning but conventional stethoscopes do not conform to the personal protective equipment (PPE) protocol during the COVID-19 pandemic. This double-blinded randomized controlled trial evaluated the feasibility of using ear-contactless electronic stethoscope to identify endobronchial blocker established selective lung ventilation, simulating endobronchial intubation during thoracic surgery with full PPE. Conventional and electronic auscultation was performed without and with full PPE, respectively, of 50 patients with selective lung ventilation. The rates of correct ventilation status detection were 86 and 88% in the conventional and electronic auscultation groups (

Indexed as

auscultationCOVID- 19electronic stethoscoplung ventilationpersonal protective equipment (PPE)

Identifiers

PMID35265648
PMCPMC8899469
OpenAlexW4213291352

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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 Socratic graph.