Evidence map›Paper›PMID 40465188›Full record

ArticleEuropean journal of epidemiology2025

All-cause and cause-specific mortality in individuals with COPD in China: a 16-year follow-up cohort study.

Yalei Ke, Yuxuan Zhao, Dianjianyi Sun, Pei Pei, Huaidong Du, Yiping Chen, Ling Yang, Xiaoming Yang, Yalin Chen, Junshi Chen and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

15 authors.

Yalei KeDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China.ORCID http://orcid.org/0009-0001-4660-6249
Yuxuan ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China.
Dianjianyi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China.
Pei PeiPeking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China.
Huaidong DuClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
Yiping ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
Ling YangClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
Xiaoming YangClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
Yalin ChenMaiji Center for Disease Control and Prevention, Tianshui, Gansu, 741020, China.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, 100022, China.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, China. yucanqing@pku.edu.cn.ORCID http://orcid.org/0000-0002-0019-0014
China Kadoorie Biobank Collaborative Group

Funding

British Heart Foundation CH/1996001/9454Kadoorie Charitable Foundation Kadoorie Charitable FoundationKey Technologies Research and Development Program 2016YFC0900500Medical Research Council MC_UU_00017/1, MC_UU_12026/2, MC_U137686851Ministry of Science and Technology of the People's Republic of China 2011BAI09B01National Major Science and Technology Projects of China 2023ZD051010National Natural Science Foundation of China 82192900, 82388102, 81390540, 91846303, 81941018Wellcome Trust 212946/Z/18/Z, 202922/Z/16/Z, 104085/Z/14/Z, 088158/Z/09/ZWorld Cancer Research Fund C16077/A29186; C500/A16896
6 · The paper itself

Abstract

The prevalence of chronic obstructive pulmonary disease (COPD) is rising in China, yet population-based evidence on COPD-related mortality risk remains limited. This study examined the association between prevalent COPD and all-cause and cause-specific mortality in a large Chinese cohort. 484,301 adults aged 30 to 79 years who received spirometry at the baseline of the China Kadoorie Biobank Study (2004-2008) were included. COPD was defined as FEV

Indexed as

Pulmonary Disease, Chronic ObstructiveAdultAgedCardiovascular DiseasesCause of DeathChinaCohort StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedPrevalenceProportional Hazards ModelsRisk FactorsSpirometryCause-specificChronic obstructive pulmonary diseaseMortalityPreserved ratio impaired spirometry

Identifiers

PMID40465188

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.