Evidence map›Paper›PMID 41776479›Full record

Observational studyBMC palliative care2026

Aggressive end-of-life care among in-hospital decedents in China: differences by cancer status, timing, and associated factors.

Bin Wu, Yingping Yi, Pengfei Yu, Haowen Luo, Jianmo Liu, Yuhuai Peng, Yu Cao, Yongping Zhang, Hao Wang, Wei Gao

Abstract readObservational Study
In one paragraph

Observational study in BMC palliative care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Bin WuSchool of Public Health, Institute of Biomedical Innovation, Jiangxi Medical College, Nanchang University, Nanchang, China.
Yingping YiSchool of Public Health, Institute of Biomedical Innovation, Jiangxi Medical College, Nanchang University, Nanchang, China.
Pengfei YuDepartment of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, 1MinDe Road, Nanchang, China.
Haowen LuoDepartment of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, 1MinDe Road, Nanchang, China.
Jianmo LiuDepartment of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, 1MinDe Road, Nanchang, China.
Yuhuai PengThe First Affiliated Hospital of Hunan Normal University Hunan Provincial People's Hospital, Changsha, China.
Yu CaoSchool of Public Health, Institute of Biomedical Innovation, Jiangxi Medical College, Nanchang University, Nanchang, China.
Yongping ZhangSchool of Public Health, Institute of Biomedical Innovation, Jiangxi Medical College, Nanchang University, Nanchang, China.
Hao WangSchool of Public Health, Institute of Biomedical Innovation, Jiangxi Medical College, Nanchang University, Nanchang, China.
Wei GaoSchool of Public Health, Institute of Biomedical Innovation, Jiangxi Medical College, Nanchang University, Nanchang, China. wei.gao@ncu.edu.cn.

Funding

Senior Talent Startup Fund of Nanchang University 28170120/9167
6 · The paper itself

Abstract

backgroundAggressive end-of-life (EOL) care is common in hospitals, yet contemporary evidence from mainland China comparing cancer and non-cancer decedents—particularly regarding timing of interventions—is limited.

objectivesTo quantify Aggressive EOL care intensity and timing during terminal hospitalization among cancer and non-cancer decedents, identify associated factors, and assess temporal trends.

methodsWe conducted a retrospective observational study of adult in-hospital decedents (≥ 18 years) at a tertiary teaching hospital in Nanchang, China (August 1, 2017–December 31, 2024). The primary outcome was a core Aggressive EOL care intensity score (0–5), defined as the unweighted sum of five domains (CPR-related interventions, respiratory support, renal support, circulatory support, and ICU death). Secondary outcomes were high-intensity Aggressive EOL care (score ≥ 2 and ≥ 3). Timing was assessed using population-level occurrence within ≤ 7 days before death and among recipients, the most proximal (final recorded) occurrence relative to death. Multivariable Poisson regression with robust standard errors and logistic regression were used. Temporal trends were assessed using adjusted generalized linear models.

resultsAmong 3,205 decedents, 990 (30.9%) had cancer. Non-cancer decedents had higher Aggressive EOL care use across all domains and higher intensity (≥ 3 domains: 22.9% vs. 6.7%). Non-cancer status was associated with a higher core aggressive EOL care intensity score (adjusted IRR 2.22, 95% CI 1.96–2.44), and emergency admission showed the strongest association with higher intensity (IRR 1.75, 1.66–1.85). Among recipients, the most proximal CPR-related intervention occurred within ≤ 7 days in 98.2% and on the day of death in 80.4%. Temporal trends differed by cancer status (P for interaction = 0.047).

conclusionsAggressive EOL care is common and occurred predominantly near death, with substantially higher multi-domain intensity among non-cancer decedents. Emergency admission emerges as a key leverage point for timely goals-of-care communication and earlier, diagnosis-agnostic palliative integration.

Indexed as

NeoplasmsTerminal CareAdultAgedAged, 80 and overChinaFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesTime FactorsAggressiveness end-of-life careCancerIntensive care unitNoncancer diseasePalliative care

Identifiers

PMID41776479
PMCPMC13064360

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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.