Evidence map›Paper›PMID 40104171›Full record

ArticleThe Lancet regional health. Western Pacific2025

Impulse oscillometry-derived equation for prediction of abnormal FEV

Meishan Liu, Xin Yao, Yiwei Shi, Huiguo Liu, Liang Chen, Yong Lu, Chunmei Zhang, Xinran Zhang, Lirong Liang, Xiaohong Chang and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Lancet regional health. Western Pacific, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Using 21NPJ primary care respiratory medicine · 2025
    Article
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

14 authors.

Meishan LiuDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Xin YaoDepartment of Respiratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yiwei ShiNHC Key Laboratory of Pneumoconiosis, China.
Huiguo LiuTongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Liang ChenBeijing Jingmei Group General Hospital, Beijing, China.
Yong LuDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Chunmei ZhangDepartment of Pulmonary and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Xinran ZhangNational Center for Respiratory Medicine, China.
Lirong LiangDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Xiaohong ChangDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Li AnDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Kian Fan ChungNational Heart & Lung Institute, Imperial College London & Royal Brompton & Harefield Hospital, London, UK.
Janwillem W H KocksGeneral Practitioners Research Institute, Groningen, the Netherlands.
Kewu HuangDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The diagnosis of chronic obstructive pulmonary disease (COPD) is based on spirometry that requires a forced expiratory manoeuvre, which is laborious and difficult for mass screening. Impulse oscillometry (IOS) is easier than spirometry and performed with tidal breathing. We sought to develop an equation for predicting forced expiratory volume in 1 s (FEV Methods: Data from patients who simultaneously underwent spirometry and IOS were obtained from databases at five tertiary hospitals in China. Multivariable linear regression analysis was used to develop a predictive model for pre-bronchodilator (BD) FEV Findings: Using 15,113 patients and externally validated with 9586 patients, the model estimated FEV Interpretation: This equation could be useful to screen for COPD particularly in community and primary care settings. Funding: The Financial Budgeting Project of Beijing Institute of Respiratory Medicine.

Indexed as

Airflow obstructionChronic obstructive pulmonary diseaseImpulse oscillometryPrediction model

Identifiers

PMID40104171
PMCPMC11914503

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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.