Evidence map›Paper›PMID 39773794›Full record

ArticleBMJ open2025

Inpatient autopsy rate and associated factors in a Chinese megacity: a population-based retrospective cohort study.

Hange Li, Yu Wang, Zihan Wang, Dachun Zhao, Xidong Guo, Hanbo Zhang, Yanrong He, Huatang Zeng, Jiming Zhu

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Hange LiVanke School of Public Health, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0001-6833-753X
Yu WangVanke School of Public Health, Tsinghua University, Beijing, China.
Zihan WangVanke School of Public Health, Tsinghua University, Beijing, China.
Dachun ZhaoDepartment of Pathology, Peking Union Medical College Hospital, Beijing, China.
Xidong GuoVanke School of Public Health, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0001-7479-3945
Hanbo ZhangInstitute for Hospital Management, Tsinghua University, Beijing, China.
Yanrong HeVanke School of Public Health, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-8144-0424
Huatang ZengVanke School of Public Health, Tsinghua University, Beijing, China jimingzhu@tsinghua.edu.cn zht22@tsinghua.edu.cn.
Jiming ZhuVanke School of Public Health, Tsinghua University, Beijing, China jimingzhu@tsinghua.edu.cn zht22@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3545-1525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study investigated the autopsy rate of hospital deaths in Shenzhen megacity and identified factors that may impact the decision to perform an autopsy in hospital deaths.

designThis is a population-based retrospective cohort study.

settingShenzhen is a megacity in China with a population of more than 17 million and a total of 151 hospitals. The official dataset of the inpatient medical record home page was used. Demographic, clinical and hospital information was extracted.

participantsAll the 35 272 inpatient deaths between 2016 and 2022 with known autopsy status were included to calculate the overall autopsy rate. Among them, a total of 34 577 cases with complete data, classified hospital and Chinese nationality, were included for further multivariable rare events logistic regression and Poisson pseudo maximum likelihood regression. OUTCOME MEASURES: Whether the inpatient death was autopsied or not.

resultsThe autopsy procedure was performed in 0.9% (319/35 272) of hospital deaths. The autopsy decision was significantly and positively associated with being married (OR= 1.60, 95% CI: 1.16 to 2.21), self-paying (OR=1.56, 95% CI: 1.07 to 2.26), death due to external causes of injury and poisoning (OR=1.69, 95% CI: 1.02 to 2.81) and pregnancy (OR=13.58, 95% CI: 4.94 to 37.36), but negatively associated with age (OR=0.97, 95% CI: 0.96 to 0.98), emergency admission (OR=0.66, 95% CI: 0.49 to 0.88), referral (OR=0.47, 95% CI: 0.25 to 0.88), neoplasms (OR=0.35, 95% CI: 0.22 to 0.56), respiratory diseases (OR=0.49, 95% CI: 0.26 to 0.95) and for-profit hospitals (OR=0.45, 95% CI: 0.23 to 0.91). There were no statistically significant differences in autopsy rates between large teaching hospitals and other hospitals.

conclusionsThe autopsy rate of hospital deaths was extremely low, largely due to healthcare providers. Even large teaching hospitals do not request more autopsies compared with other hospitals, after controlling for the patient characteristics. More efforts are urged to encourage hospitals and healthcare providers to proactively request autopsies, helping to revive this important procedure.

Indexed as

AutopsyHospital MortalityAdolescentAdultAgedAged, 80 and overCause of DeathChinaFemaleHumansInpatientsLogistic ModelsMaleMiddle AgedRetrospective StudiesYoung AdultChinaClinical governanceElectronic Health RecordsInpatientsQuality Improvement

Identifiers

PMID39773794
PMCPMC11749027

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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.