Evidence map›Paper›PMID 36198705›Full record

ArticleScientific reports2022

Secular trend and risk factors of 30-day COPD-related readmission in Beijing, China.

Jiachen Li, Lirong Liang, Siyu Cao, Hengmo Rong, Lin Feng, Di Zhang, Shuilian Chu, Hang Jing, Zhaohui Tong

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Article
  4. A Proposed Checklist for Optimizing COPD Patient Discharge Processes in Italian Internal Medicine Wards.International journal of chronic obstructive pulmonary disease · 2026
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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

9 authors.

Jiachen LiDepartment of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China.
Lirong LiangDepartment of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China. llrcruie@163.com.
Siyu CaoDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China.
Hengmo RongDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China.
Lin FengDepartment of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China.
Di ZhangDepartment of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China.
Shuilian ChuDepartment of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China.
Hang JingDepartment of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China.
Zhaohui TongDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China. tongzhaohuicy@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Readmission due to chronic obstructive pulmonary disease (COPD) exacerbation contributes significantly to disease burden. Trend in readmission rate among COPD patients in China is not well characterized. We described the secular trend and identify risk factors of COPD-related 30-day readmission in Beijing during 2012-2017. In this retrospective cohort study, we used data from a citywide hospital discharge database in Beijing. We included patients ≥ 40 years with a primary diagnosis of COPD from 2012 to 2017. A total of 131 591 index admissions were identified. COPD-related 30-day readmission was defined as the initial admission with a primary diagnosis of COPD that occurs within 30 days from the discharge date of an index admission. Overall and annual 30-day readmission rates were calculated in the total population and subgroups defined by patient characteristics. We used multivariable logistic models to investigate risk factors for readmission and in-hospital mortality within 30 days. The overall 30-day COPD-related readmission rate was 15.8% (n = 20 808). The readmission rate increased from 11.5% in 2012 to 17.2% in 2017, with a multivariable-adjusted OR (95% CI) for annual change to be 1.08 (1.06-1.09) (P trend < 0.001). The upward trend in readmission rate levelled off at about 17% since 2014. The readmission rate of men was higher and increased faster than women. Comorbid osteoporosis, coronary heart disease, congestive heart failure, and cancer were associated with an increased risk of 30-day COPD-related readmission. The 30-day COPD-related readmission rate in Beijing showed an overall increasing trend from 2012 to 2017. Future efforts should be made to further improve care quality and reduce early readmissions of COPD patients.

Indexed as

Patient ReadmissionPulmonary Disease, Chronic ObstructiveBeijingFemaleHumansMaleRetrospective StudiesRisk Factors

Identifiers

PMID36198705
PMCPMC9534919

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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.