Evidence map›Paper›PMID 41703961›Full record

ArticleImmunity, inflammation and disease2026

Early Mortality Following Systemic Anticancer Therapy in Lung Cancer: A Bayesian Spatiotemporal Multilevel Analysis.

Getayeneh Antehunegn Tesema, Rob G Stirling, Win Wah, Zemenu Tadesse Tessema, Stephane Heritier, Arul Earnest

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Getayeneh Antehunegn TesemaSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-6812-1659
Rob G StirlingCentral Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Win WahMonash Centre for Occupational and Environmental Health, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Zemenu Tadesse TessemaSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Stephane HeritierSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Arul EarnestSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite advances in lung cancer treatment, early mortality following Systemic Anticancer Therapy (SACT) remains a major concern. Identifying patients at high risk of early mortality may inform treatment decision-making, particularly where SACT may offer limited benefit. We aimed to quantify spatiotemporal patterns of early mortality following SACT and to examine the relative contributions of individual- and area-level risk factors.

methodsWe conducted a secondary analysis of data from the Victorian Lung Cancer Registry. Bayesian spatiotemporal multilevel models were used to assess associations between individual- and area-level factors and early mortality following SACT. Adjusted Odds Ratios (AORs) with 95% Credible Interval (Crl) were reported to indicate statistical significance.

resultsSubstantial spatiotemporal variation in early mortality following SACT was observed across Victoria. Factors associated with increased odds of early mortality included age ≥ 60 years (AOR = 1.06, 95% Crl: 1.01-1.22), clinical stage II (AOR = 1.15, 95% Crl: 1.01-1.59), stage III (AOR = 1.28, 95% Crl: 1.01-2.05), stage IV (AOR = 3.19, 95% Crl: 2.12-5.07), comorbidity (AOR = 1.12, 95% Crl: 1.01-1.34), and poor performance status (AOR = 3.09, 95% Crl: 2.24-4.24). Presentation at a multidisciplinary meeting (AOR = 0.66, 95% Crl: 0.52-0.88) and receipt of supportive care screening (AOR = 0.53, 95% Crl: 0.41-0.69) were associated with reduced odds of early mortality.

conclusionMarked spatiotemporal variation in early mortality following SACT highlights the need for targeted, risk-informed treatment strategies, particularly for patients with advanced disease, comorbidities, poor performance status, and those residing in high-risk areas.

Indexed as

Antineoplastic AgentsLung NeoplasmsAgedBayes TheoremFemaleHumansMaleMiddle AgedNeoplasm StagingRegistriesRisk FactorsSpatio-Temporal AnalysisVictoriaAntineoplastic AgentsBayesian multilevel modelingearly mortalitylung cancerspatiotemporal analysissystemic anticancer therapyVictoria

Identifiers

PMID41703961
PMCPMC12914077

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.