Evidence map›Paper›PMID 42533619›Full record

ArticleJournal of global health2026

Aggressive end-of-life care among over half a million patients with cancer in Shandong, China, 2017-2022.

Ying Meng, Qing Wang, Yu He, Yaoyun Zhang, Xinxin Xia, Xiaokang Ji, Qingbo Zhao, Yongchao Wang, Yifu Zhao, Ding Wang and 3 more

Abstract read
In one paragraph

Article in Journal of global health, 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
–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

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

13 authors.

Ying MengSchool of Public Health, Peking University, Beijing, China.
Qing WangSchool of Public Health, Shandong University, Jinan, China.
Yu HeChinese Preventive Medicine Association, Beijing, China.
Yaoyun ZhangChina Center for Health Development Studies, Peking University, Beijing, China.
Xinxin XiaChina Center for Health Development Studies, Peking University, Beijing, China.
Xiaokang JiSchool of Public Health, Shandong University, Jinan, China.
Qingbo ZhaoSchool of Public Health, Shandong University, Jinan, China.
Yongchao WangSchool of Public Health, Shandong University, Jinan, China.
Yifu ZhaoSchool of Public Health, Shandong University, Jinan, China.
Ding WangSchool of Public Health, Shandong University, Jinan, China.
Yang KeState Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital and Institute, Beijing, China.
Fuzhong XueSchool of Public Health, Shandong University, Jinan, China.
Jin XuChina Center for Health Development Studies, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aggressive cancer care near the end of life (EoL) often yields limited benefits and may even diminish patients' quality of life. Research on EoL cancer care from low- and middle-income countries (LMICs) remains scarce. As China experiences accelerated population ageing, a large number of cancer deaths, and rapid expansion of hospital capacity and medical technologies, it is important to assess the trends and determinants of aggressive EoL care among patients with cancer. Methods: This cross-sectional study used linked hospital discharge and death registry data, including 594,415 adult patients who died of cancer between 1 January 2017, and 31 December 2022 in China. Aggressive EoL cancer care was measured using several internationally validated indicators, including chemotherapy use, multiple hospitalisations, and intensive care unit (ICU) admissions near the EoL. A modified Poisson regression model was applied to identify associated factors. Results: Among patients who died of cancer, 20.7% experienced at least one type of aggressive end-of-life care. From 2017 to 2022, the proportion of EoL ICU admissions increased from 0.9% to 2.8%, aggressive chemotherapy use rose from 4.1% to 4.8%, and multiple hospitalisations increased from 16.2% to 18.3%. Male sex, younger age, stable income, social health insurance with higher reimbursement rates, and comorbidities were factors significantly associated with a higher risk. Conclusions: This study offers a comprehensive analysis of aggressive EoL cancer care in an LMIC setting, revealing rising trends and key predictors. The findings underscore the urgent need to prioritise people-centred EoL care in rapidly evolving LMIC healthcare systems, while minimising unnecessary hospital-based interventions.

Indexed as

NeoplasmsTerminal CareAdultAgedChinaCross-Sectional StudiesFemaleHospitalizationHumansMaleMiddle Agedaggressive cancer careanticancer treatmentEnd-of-Lifelow- and middle-income countriespalliative care

Identifiers

PMID42533619
PMCPMC13424745

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.