ArticleInternational journal of environmental research and public health2020
Preference for Aggressive End-of-Life Care among Advanced Cancer Patients in Wuhan, China: A Cross-Sectional Study.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Instability in End-of-Life Goals and Preferences of Patients Who Are Seriously Ill: A Systematic Review.JAMA network open · 2025Pooled it
- Aggressive end-of-life care among over half a million patients with cancer in Shandong, China, 2017-2022.Journal of global health · 2026Article
- Aggressive end-of-life care among in-hospital decedents in China: differences by cancer status, timing, and associated factors.BMC palliative care · 2026Observational
- The centrality of "family first" among Chinese migrants in determining experiences of palliative care: An integrative literature review.Palliative care and social practice · 2026Review
- Socioeconomic disparities in health-related quality of life and healthcare use in the last year of life of patients with advanced cancer: longitudinal results from the eQuiPe study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Observational
- Goals of Care Among Patients With Advanced Cancer and Their Family Caregivers in the Last Years of Life.JAMA network open · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Life-sustaining treatments (LSTs) and end-of-life (EOL) care's goal for prolonging one's life are defined as aggressive EOL care among critically ill patients. They have limited effects and add unnecessary financial burden to advanced cancer patients. A questionnaire survey was conducted to collect information on demographics, disease conditions, preference for LSTs, and goal of EOL care among advanced cancer patients of comprehensive grade-A tertiary hospitals in Wuhan, mainland China. Most patients preferred to accept LSTs when they were in a critical condition, including cardiopulmonary resuscitation (89.9%), mechanical ventilation support (85.7%), nasogastric tube feeding (84.1%), blood transfusion (89.8%), general surgery (87.5%), and hemodialysis (85.8%). Most (88%) preferred prolonging life as the goal of EOL care. Logistic regression showed common influencing factors were participants who completed junior high/high school or below and were financially adequate had higher reference for aggressive EOL care. Patients whose physician had accurately disclosed prognosis; however, showed a decrease trend for aggressive EOL care. Most advanced cancer patients preferred to accept aggressive EOL care. Discussions about prognosis disclosure among physicians and patients should be improved. Education about LSTs' limitations and comfort-oriented care's benefits should be promoted among the advanced cancer patients in mainland China.
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Registered trials
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.