Evidence map›Paper›PMID 42078911›Full record

Observational studyInternational journal of chronic obstructive pulmonary disease2026

A Predicted FEV1/FVC Model Based on a Simple Respiratory Questionnaire for Early Diagnosis of COPD in Shimane Cohort, Japan.

Mika Nakao, Tamio Okimoto, Akari Tanino, Yoshihiro Amano, Takamasa Hotta, Megumi Hamaguchi, Shunichi Hamaguchi, Yukari Tsubata, Toshihiko Kawamura, Takeshi Isobe

Abstract readObservational Study
In one paragraph

Observational study in International journal of chronic obstructive pulmonary disease, 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

10 authors.

Mika NakaoDivision of Medical Oncology and Respiratory Medicine, Department of Internal Medicine, Shimane University Faculty of Medicine, Izumo, Japan.
Tamio OkimotoDivision of Medical Oncology and Respiratory Medicine, Department of Internal Medicine, Shimane University Faculty of Medicine, Izumo, Japan.ORCID 0000-0001-8295-1296
Akari TaninoDivision of Medical Oncology and Respiratory Medicine, Department of Internal Medicine, Shimane University Faculty of Medicine, Izumo, Japan.ORCID 0000-0002-1319-1702
Yoshihiro AmanoDivision of Medical Oncology and Respiratory Medicine, Department of Internal Medicine, Shimane University Faculty of Medicine, Izumo, Japan.
Takamasa HottaDivision of Medical Oncology and Respiratory Medicine, Department of Internal Medicine, Shimane University Faculty of Medicine, Izumo, Japan.ORCID 0000-0002-7935-7285
Megumi HamaguchiDivision of Medical Oncology and Respiratory Medicine, Department of Internal Medicine, Shimane University Faculty of Medicine, Izumo, Japan.ORCID 0000-0002-1995-9217
Shunichi HamaguchiDivision of Medical Oncology and Respiratory Medicine, Department of Internal Medicine, Shimane University Faculty of Medicine, Izumo, Japan.ORCID 0000-0002-8749-9101
Yukari TsubataDivision of Medical Oncology and Respiratory Medicine, Department of Internal Medicine, Shimane University Faculty of Medicine, Izumo, Japan.
Toshihiko KawamuraDivision of Medical Informatics, Shimane University Faculty of Medicine, Izumo, Japan.
Takeshi IsobeDivision of Medical Oncology and Respiratory Medicine, Department of Internal Medicine, Shimane University Faculty of Medicine, Izumo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Early detection of chronic obstructive pulmonary disease (COPD) remains challenging in primary care settings where spirometry is not always available. We aimed to develop a simple questionnaire-based approach to estimate the forced expiratory volume in one second (FEV Patients and Methods: This was a single-center retrospective observational study based on the Shimane cohort. From 2008 to 2014, respiratory questionnaires and spirometry were performed during health check-ups of individuals aged ≥40 years. Among 2230 participants who underwent spirometry, 727 current or former smokers without a history of bronchial asthma were included for model development. Multiple regression analysis was used to identify questionnaire items associated with FEV Results: Four variables-age, smoking intensity, exertional dyspnea, and paroxysmal dyspnea-were independently associated with FEV Conclusion: We developed a simple questionnaire-based model to estimate FEV

Indexed as

LungPulmonary Disease, Chronic ObstructiveSpirometryAdultAgedEarly DiagnosisFemaleForced Expiratory VolumeHumansJapanMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective StudiesRisk Factorschronic obstructive pulmonary diseaseCOPD screeninginternational primary care airways groupIPAGquestionnairespirometry

Identifiers

PMID42078911
PMCPMC13135101

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.