Evidence map›Paper›PMID 39680027›Full record

ArticleChronic obstructive pulmonary diseases (Miami, Fla.)2025

Prospective Randomized Study on Switching Triple Inhaler Therapy in COPD from Multiple Inhaler Devices to a Single Inhaler Device in a Chinese Population.

Wang Chun Kwok, Ting Fung Ma, Chung Ki Tsui, James Chung Man Ho, Terence Chi Chun Tam

Abstract read
In one paragraph

Article in Chronic obstructive pulmonary diseases (Miami, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

5 authors.

Wang Chun KwokDepartment of Medicine, Queen Mary Hospital, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
Ting Fung MaDepartment of Statistics, College of Arts and Sciences, University of South Carolina, Columbia, South Carolina, United States.
Chung Ki TsuiDepartment of Medicine, Queen Mary Hospital, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
James Chung Man HoDepartment of Medicine, Queen Mary Hospital, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
Terence Chi Chun TamDepartment of Medicine, Queen Mary Hospital, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Triple therapy with inhaled corticosteroids and dual bronchodilator therapy is recommended for chronic obstructive pulmonary disease (COPD) patients who have exacerbations and eosinophilia. It can be administered by single inhaler triple therapy (SITT) or by multiple inhaler triple therapy (MITT). There is a lack of evidence of the benefits of SITT over MITT in the Chinese population, especially on switching from existing MITT to SITT. Methods: A total of 70 Chinese patients with COPD were recruited in this open-label, double-arm clinical trial to investigate the number of critical inhaler errors, the modified Medical Research Council (mMRC) dyspnea scale, the Medication Adherence Report Scale for Asthma (MARS-A) score, and a satisfaction score upon switching from MITT to SITT. Results: The mean number of critical inhaler errors was 0.4±1.0 in the SITT group and 1.1±1.8 in the MITT group( Conclusion: Switching from MITT to SITT in Chinese COPD patients may have the benefits of having fewer critical inhaler errors and a higher MARS-A score.

Indexed as

COPDmultiple inhaler triple therapysingle inhaler triple therapytriple therapy

Identifiers

PMID39680027
PMCPMC11925071

What OpenQuestion holds

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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.