Evidence map›Paper›PMID 41850735›Full record

ArticleBMJ open respiratory research2026

Predicting clinical remission in biologic-treated severe asthma: development of a practical scoring system from a Japanese multicentre study.

Tsuyoshi Sasada, Naoya Tanabe, Satoshi Marumo, Yu Hara, Kyohei Morita, Tetsuya Watanabe, Kaoruko Shimizu, Masataka Hirai, Hiro Ikeda, Shohei Yano and 13 more

Abstract readMulticenter Study
In one paragraph

Article in BMJ open respiratory research, 2026. 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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0cells of the map it votes in
0citing papers 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

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

23 authors.

Tsuyoshi SasadaKitano Hospital Medical Research Institute, Osaka, Osaka Prefecture, Japan.
Naoya TanabeDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan ntana@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-7481-0212
Satoshi MarumoKitano Hospital Medical Research Institute, Osaka, Osaka Prefecture, Japan.
Yu HaraDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Kyohei MoritaOsaka Red Cross Hospital, Osaka, Osaka Prefecture, Japan.
Tetsuya WatanabeOsaka Metropolitan University, Osaka, Osaka Prefecture, Japan.
Kaoruko ShimizuFirst Department of Medicine, Hokkaido University School of Medicine, Sapporo, Japan.
Masataka HiraiKitano Hospital Medical Research Institute, Osaka, Osaka Prefecture, Japan.
Hiro IkedaKitano Hospital Medical Research Institute, Osaka, Osaka Prefecture, Japan.
Shohei YanoKitano Hospital Medical Research Institute, Osaka, Osaka Prefecture, Japan.
Kaho HiraiOsaka Metropolitan University, Osaka, Osaka Prefecture, Japan.
Shinya TsukamotoDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yusuke HayashiDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Shota TakahashiOsaka Red Cross Hospital, Osaka, Osaka Prefecture, Japan.
Chie YoshimuraOsaka Red Cross Hospital, Osaka, Osaka Prefecture, Japan.
Kota MurohashiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Moon Hee HwangOsaka Red Cross Hospital, Osaka, Osaka Prefecture, Japan.
Atsuyasu SatoDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Motonari FukuiKitano Hospital Medical Research Institute, Osaka, Osaka Prefecture, Japan.ORCID http://orcid.org/0000-0001-7584-4839
Hisako MatsumotoDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Satoshi KonnoFirst Department of Medicine, Hokkaido University School of Medicine, Sapporo, Japan.ORCID http://orcid.org/0000-0001-6439-2443
Takeshi KanekoDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Toyohiro HiraiDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiologics have improved clinical remission (CR) rates in severe asthma; however, practical tools for predicting CR are lacking. Our goal was to create a straightforward, interview-based scoring system applicable across various care settings.

methodsThis retrospective multicentre study formed exploratory and validation cohorts of adults with severe asthma starting biologic treatment. The primary outcome was achievement of 3-domain CR (no maintenance OCS, no exacerbation, asthma control test (ACT) ≥23). Each baseline characteristic was tested using univariable logistic regression; those with p<0.05 were included in a multivariable model to identify independent predictors. These predictors were combined into a point-based score. Discrimination was evaluated using the area under the receiver operating characteristic curve (AUC) and externally validated.

resultsThe analysis included 281 patients in the exploratory cohort and 53 in the validation cohort. Three-domain CR occurred in 37.7% (106/281) of the exploratory cohort and 35.9% (19/53) of the validation cohort. In the exploratory cohort, male sex (OR, 2.34; 95% CI 1.22 to 4.57), ACT score ≥20 (OR, 3.75; 95% CI 1.96 to 7.36) and comorbid chronic rhinosinusitis (CRS) (OR, 3.27; 95% CI 1.61 to 6.93) were associated with 3-domain CR. We developed a scoring system by assigning 1 point each for male sex (M), ACT ≥20 (A) and comorbid CRS (C), termed MAC score, which showed good discrimination (AUC 0.73; 95% CI 0.68 to 0.79) and was externally validated (AUC 0.76; 95% CI 0.60 to 0.91).

conclusionThe MAC score, a three-item metric derived from routinely accessible information, effectively predicts 3-domain CR and can be implemented across a range of healthcare settings, from primary care clinics to tertiary hospitals.

Indexed as

Anti-Asthmatic AgentsAsthmaBiological ProductsAdultAgedEast Asian PeopleFemaleHumansJapanLogistic ModelsMaleMiddle AgedPredictive Value of TestsRemission InductionRetrospective StudiesRhinosinusitisAnti-Asthmatic AgentsBiological ProductsAsthma

Identifiers

PMID41850735
PMCPMC13007069

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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.