Evidence map›Paper›PMID 39507565›Full record

ArticleChina CDC weekly2024

Chronic Obstructive Pulmonary Disease-Associated Mortality - China, 2014-2021.

Zifang Zhou, Lijun Wang, Maigeng Zhou, Peng Yin

Abstract read
In one paragraph

Article in China CDC weekly, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. A Narrative Review of the Correlation Between Comorbidity and Acute Exacerbation of COPD Patients.International journal of chronic obstructive pulmonary disease · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

4 authors.

Zifang ZhouNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Lijun WangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Maigeng ZhouNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Peng YinNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: China faces a growing burden of chronic obstructive pulmonary disease (COPD). Previous mortality estimations were primarily based on the underlying cause of death. This study analyzed COPD-associated death and its comorbidities using all COPD cases listed on the chain of events on death certificates. Methods: A retrospective analysis of the National Mortality Surveillance System (NMSS) was conducted to estimate COPD-associated mortality from 2014 to 2021. Age-standardized mortality rates (ASMRs) were calculated stratified by sex, region, and residence. Joinpoint regression was used to estimate the average annual percentage change (AAPC) during the study period. Results: From 2014 to 2021, the ASMR of COPD decreased from 91.85 to 45.90 per 100,000 population. Significant but uneven decreases in COPD mortality were observed across gender [females: AAPC: -11.2%, 95% confidence interval ( Conclusions: COPD is a significant comorbidity of other disorders in China. Although COPD-associated mortality substantially decreased from 2014 to 2021, the burden remained high in underdeveloped regions.

Indexed as

Chronic Obstructive Pulmonary diseaseComorbidityMortality

Identifiers

PMID39507565
PMCPMC11534576

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.