Evidence map›Paper›PMID 32324837›Full record

ArticlePloS one2020

Sociodemographic and clinical factors for non-hospital deaths among cancer patients: A nationwide population-based cohort study.

Qingyuan Zhuang, Zheng Yi Lau, Whee Sze Ong, Grace Meijuan Yang, Kelvin Bryan Tan, Marcus Eng Hock Ong, Ting Hway Wong

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Rising out-of-hospital mortality in Canada during 2020‒2022: A striking impact observed among young adults.Canadian journal of public health = Revue canadienne de sante publique · 2025
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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

7 authors at 3 institutions in 1 country.

Qingyuan ZhuangDepartment of Supportive and Palliative Care, National Cancer Centre Singapore, Singapore, Singapore.ORCID 0000-0001-8770-9968
Zheng Yi LauPolicy Research and Evaluation Division, Ministry of Health, Singapore, Singapore.
Whee Sze OngNational Cancer Centre Singapore, Singapore, Singapore.
Grace Meijuan YangDepartment of Supportive and Palliative Care, National Cancer Centre Singapore, Singapore, Singapore.
Kelvin Bryan TanPolicy Research and Evaluation Division, Ministry of Health, Singapore, Singapore.
Marcus Eng Hock OngSingapore General Hospital, Singapore, Singapore.
Ting Hway WongSingapore General Hospital, Singapore, Singapore.
National University of Singapore · SGMinistry of Health · SGNational Cancer Centre Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFactors associated with place of death inform policies with respect to allocating end-of-life care resources and tailoring supportive measures.

objectiveTo determine factors associated with non-hospital deaths among cancer patients.

designRetrospective cohort study of cancer decedents, examining factors associated with non-hospital deaths using multinomial logistic regression with hospital deaths as the reference category. SETTING/SUBJECTS: Cancer patients (n = 15254) in Singapore who died during the study period from January 1, 2012 till December 31, 2105 at home, acute hospital, long-term care (LTC) or hospice were included.

resultsIncreasing age (categories ≥65 years: RRR 1.25-2.61), female (RRR 1.40; 95% CI 1.28-1.52), Malays (RRR 1.67; 95% CI 1.47-1.89), Brain malignancy (RRR 1.92; 95% CI 1.15-3.23), metastatic disease (RRR 1.33-2.01) and home palliative care (RRR 2.11; 95% CI 1.95-2.29) were associated with higher risk of home deaths. Patients with low socioeconomic status were more likely to have hospice or LTC deaths: those living in smaller housing types had higher risk of dying in hospice (1-4 rooms apartment: RRR 1.13-3.17) or LTC (1-5 rooms apartment: RRR 1.36-4.11); and those with Medifund usage had higher risk of dying in LTC (RRR 1.74; 95% CI 1.36-2.21). Patients with haematological malignancies had increased risk of dying in hospital (categories of haematological subtypes: RRR 0.06-0.87).

conclusionsWe found key sociodemographic and clinical factors associated with non-hospital deaths in cancer patients. More can be done to enable patients to die in the community and with dignity rather than in a hospital.

Indexed as

AdolescentAdultAgedAged, 80 and overCause of DeathFemaleHome Care ServicesHospice CareHospicesHumansLogistic ModelsMaleMiddle AgedNeoplasmsPalliative CareRetrospective Studies

Identifiers

PMID32324837
PMCPMC7179880
OpenAlexW3018217903

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.