Evidence map›Paper›PMID 41696406›Full record

ArticleAnnals of thoracic medicine

A tool for recognizing asthma nonadherence during disease management: A prospective cohort study.

Qiao Zhang, Yi Lan, Qinqin Wang, Lingjun Liu, Hong Li, Shuo Wang, Xuxu Gou, Xiuqing Liao, Qianli Ma

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In one paragraph

Article in Annals of thoracic medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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5 · Who and what money

Authors and funding

9 authors.

Qiao ZhangDepartment of Respiratory and Critical Care Medicine, The Chongqing Songshan General Hospital, Chongqing, China.
Yi LanChronic Respiratory Disease Care and Rehabilitation Center/Allergy Disease Center, The Chongqing Songshan General Hospital, Chongqing, China.
Qinqin WangChronic Respiratory Disease Care and Rehabilitation Center/Allergy Disease Center, The Chongqing Songshan General Hospital, Chongqing, China.
Lingjun LiuChronic Respiratory Disease Care and Rehabilitation Center/Allergy Disease Center, The Chongqing Songshan General Hospital, Chongqing, China.
Hong LiChronic Respiratory Disease Care and Rehabilitation Center/Allergy Disease Center, The Chongqing Songshan General Hospital, Chongqing, China.
Shuo WangThe First Clinical College, Chongqing Medical University, Chongqing, China.
Xuxu GouHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California, USA.
Xiuqing LiaoDepartment of Respiratory and Critical Care Medicine, Chongqing University Fuling Hospital, Chongqing, China.
Qianli MaChronic Respiratory Disease Care and Rehabilitation Center/Allergy Disease Center, The Chongqing Songshan General Hospital, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adherence of asthma patients remains an urgent issue that needs to be addressed, and there is still a lack of tools for the rapid identification of nonadherence.

methodsA number of factors associated with increased risk of nonadherence were compared with adherence assessed using the Medication Adherence Report Scale for Asthma (MARS-A). Among them was the tool for recognizing asthma nonadherence (TRAN), which is the ratio between the patient's perceived overall health measured using a 0-100 visual analog scale and their asthma control test score. The development set used data from a multicenter, prospective cohort study in asthma. The TRAN was then validated in a further test set of asthma patients.

resultsData from 518 participants who completed 3-month follow-up formed the development set. TRAN was the best predictor of nonadherence as defined by MARS-A (odds ratio = 9.14; 95% confidence interval [CI]: 4.16, 20.10;

conclusionThe TRAN is a simple method for the initial screening of asthma patients for potential nonadherence.

Indexed as

Asthma control testhealth preferencessymptomstreatment adherencevisual analog scale

Identifiers

PMID41696406
PMCPMC12904507

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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.