Evidence map›Paper›PMID 39037292›Full record

ArticleCancer biology & medicine2024

Impact of cancer diagnosis on life expectancy by area-level socioeconomic groups in New South Wales, Australia: a population-based study.

Md Mijanur Rahman, Michael David, David Goldsbury, Karen Canfell, Kou Kou, Paramita Dasgupta, Peter Baade, Xue Qin Yu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer biology & medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Life expectancy of cancer patients in China.Military Medical Research · 2026
    Article
  2. Article
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

8 authors.

Md Mijanur RahmanThe Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, NSW 1340, Australia.ORCID 0000-0001-6879-2049
Michael DavidThe Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, NSW 1340, Australia.
David GoldsburyThe Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, NSW 1340, Australia.
Karen CanfellThe Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, NSW 1340, Australia.
Kou KouCancer Council Queensland, Brisbane, QLD 4006, Australia.
Paramita DasguptaCancer Council Queensland, Brisbane, QLD 4006, Australia.
Peter Baade *Cancer Council Queensland, Brisbane, QLD 4006, Australia.
Xue Qin Yu *The Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, NSW 1340, Australia.

Funding

National Health and Research Council of Australia Leadership Investigator NHMRC; APP1194679
6 · The paper itself

Abstract

objectiveImprovement in cancer survival over recent decades has not been accompanied by a narrowing of socioeconomic disparities. This study aimed to quantify the loss of life expectancy (LOLE) resulting from a cancer diagnosis and examine disparities in LOLE based on area-level socioeconomic status (SES).

methodsData were collected for all people between 50 and 89 years of age who were diagnosed with cancer, registered in the NSW Cancer Registry between 2001 and 2019, and underwent mortality follow-up evaluations until December 2020. Flexible parametric survival models were fitted to estimate the LOLE by gender and area-level SES for 12 common cancers.

resultsOf 422,680 people with cancer, 24% and 18% lived in the most and least disadvantaged areas, respectively. Patients from the most disadvantaged areas had a significantly greater average LOLE than patients from the least disadvantaged areas for cancers with high survival rates, including prostate [2.9 years (95% CI: 2.5-3.2 years)

conclusionsPatients from the most disadvantaged areas had the highest LOLE with SES-based differences greatest for patients diagnosed with cancer at an early stage or cancers with higher survival rates, suggesting the need to prioritise early detection and reduce treatment-related barriers and survivorship challenges to improve life expectancy.

Indexed as

Life ExpectancyNeoplasmsRegistriesSocial ClassAgedAged, 80 and overFemaleHealth Status DisparitiesHumansMaleMiddle AgedNew South WalesSocioeconomic FactorsSurvival Ratearea-level socioeconomic statusCancer diagnosisflexible parametric modellife expectancyloss of life expectancy

Identifiers

PMID39037292
PMCPMC11359496

What OpenQuestion holds

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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.