Evidence map›Paper›PMID 42328123›Full record

Observational studyInternational journal of medical sciences2026

Pulmonary Function Tests as Predictors of Successful Tracheostomy Decannulation: A 60-Day Prospective Study.

Chin-Chia Yang, Wen-Lin Yu, Meng-Heng Hsieh, Ching-Tzu Huang, Mei-Hsiu Chuang, Hsing-Yu Chen

Abstract readObservational Study
In one paragraph

Observational study in International journal of medical sciences, 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

6 authors.

Chin-Chia YangDepartment of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Wen-Lin YuDepartment of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Meng-Heng HsiehDepartment of Thoracic Medicine, Chang Gung Memorial Hospital, Linkou, Taiwan.
Ching-Tzu HuangDepartment of Respiratory Therapist, Chang Gung Memorial Hospital, Linkou, Taiwan.
Mei-Hsiu ChuangDepartment of Respiratory Therapist, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Hsing-Yu ChenDepartment of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early tracheostomy decannulation prevents complications, but premature removal poses risks. While various methods exist to assess readiness, the predictive role of pulmonary function tests remains unclear. Methods: This exploratory prospective observational study enrolled 46 patients at Chang Gung Memorial Hospital, Taoyuan, from March 2020 to December 2023. Participants underwent pulmonary function and coughing ability assessments-including forced vital capacity (FVC), peak expiratory flow rate (PEFR), maximum expiratory pressure (MEP), and oxygen saturation (SpO Results: Factors associated with a successful outcome were younger age, male sex, strong cough function, no nasogastric tube, and higher albumin levels. Key respiratory-function metrics (higher MEP, PEFR, FVC, and SpO Conclusion: For patients with an average tracheostomy duration of > 300 days, FVC, PEFR and MEP are feasible predictors of successful decannulation. Further studies are needed to validate these results.

Indexed as

Respiratory Function TestsTracheostomyTracheostomy DecannulationAdultAgedFemaleHumansMaleMiddle AgedPeak Expiratory Flow RateProspective StudiesROC CurveVital Capacitydecannulationforced vital capacitypeak expiratory flow ratepulmonary function testtracheostomy

Identifiers

PMID42328123
PMCPMC13280732

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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.