Evidence map›Paper›PMID 36242033›Full record

Observational studyBMC palliative care2022

Trajectories of Health-related quality of life in patients with Advanced Cancer during the Last Year of Life: findings from the COMPASS study.

Jonathan Lee, Mahham Shafiq, Rahul Malhotra, Semra Ozdemir, Irene Teo, Chetna Malhotra

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC palliative care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02850640 (Cost and Medical Care of Patients With Advanced Serious Illness in Singapore), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.0field-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.

NCT02850640 unknown statusnot on this map

Cost and Medical Care of Patients With Advanced Serious Illness in Singapore (COMPASS) Study

TypeobservationalSponsorDuke-NUS Graduate Medical SchoolRan2015 to 2024Enrolled600ConditionsCancer
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  11. Evaluation of end-of-Life chemotherapy: a medical and economic challenge revealed by a retrospective observational study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Observational
  12. Trajectory of quality of life among patients with cancer at the end of life: a longitudinal survey study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
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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

6 authors at 2 institutions in 1 country.

Jonathan LeeLien Centre for Palliative Care, Duke-NUS Medical School, Singapore, Singapore.
Mahham ShafiqLien Centre for Palliative Care, Duke-NUS Medical School, Singapore, Singapore.
Rahul MalhotraLien Centre for Palliative Care, Duke-NUS Medical School, Singapore, Singapore.
Semra OzdemirLien Centre for Palliative Care, Duke-NUS Medical School, Singapore, Singapore.
Irene TeoLien Centre for Palliative Care, Duke-NUS Medical School, Singapore, Singapore.
Chetna MalhotraLien Centre for Palliative Care, Duke-NUS Medical School, Singapore, Singapore. chetna.malhotra@duke-nus.edu.sg.
Duke-NUS Medical School · SGNational Cancer Centre Singapore · SG

Funding

Lien Centre for Palliative Care LCPC-IN14-0003Singapore Millennium Foundation 2015-SMF-0003
6 · The paper itself

Abstract

backgroundPatients with advanced cancer prioritise health-related quality of life (HrQoL) in end-of-life care, however an understanding of pre-death HrQoL trajectories is lacking. We aimed to delineate and describe the trajectories of physical, social, emotional and functional HrQoL during last year of life among advanced cancer patients. We assessed associations between these trajectories and patient socio-demographic characteristics, healthcare use and place of death.

methodsWe used data from 345 decedents from a prospective cohort study of 600 patients with a solid advanced cancer receiving secondary care at public hospitals in Singapore. Patients were surveyed every three months until death and HrQoL was assessed using the Functional Assessment of Cancer Therapy - General (FACT-G) questionnaire. Interviews were conducted between July 2016 and December 2019. Group-based multi-trajectory modelling was used to assess potential heterogeneity in the four HrQoL dimensions during patients' last year of life.

resultsWe identified four distinct trajectories of HrQoL - (1) overall high HrQoL (47% of sample), (2) progressively decreasing HrQoL (32%), (3) asymmetric decline in HrQoL (13%), (4) overall low HrQoL (8%). Compared to patients with secondary or above education, those with primary education or less (β = 1.39, SE = 0.55, p-value = 0.012) were more likely to have "progressively decreasing HrQoL" or "overall low HrQoL" in contrast to "overall high HrQoL". Compared to patients with 'overall high HrQoL', those with 'overall low HrQoL' had longer length of hospital stay during the last year of life (β = 0.47, SE = 0.21, p-value = 0.026) and were more likely to die in a hospice/care home (β = 1.86, SE = 0.66, p-value = 0.005).

conclusionOur results showed heterogeneity in deterioration of HrQoL among patients with advanced cancer in the last year of life. Systematic monitoring of HrQoL, early identification and referral of high-risk patients to palliative care may provide timely relief and mitigate the steep decline in their HrQoL.

trial registrationNCT02850640.

Indexed as

NeoplasmsTerminal CareHumansPalliative CareProspective StudiesQuality of LifeSurveys and QuestionnairesCancerHealth-related quality of lifeNeoplasmsOncologyPalliative CareProspective studySingaporeSurveys and questionnaires

Identifiers

PMID36242033
PMCPMC9569120
OpenAlexW4306175517

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.