Evidence map›Paper›PMID 40884691›Full record

ArticleApplied health economics and health policy2026

Healthcare Costs and Carbon Emissions of Stage III Melanoma Surveillance Imaging.

Jake T W Williams, Mbathio Dieng, Katy Bell, Scott McAlister, Rachael L Morton

Abstract read
In one paragraph

Article in Applied health economics and health policy, 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

5 authors.

Jake T W WilliamsSchool of Public Health, The University of Sydney, Sydney, NSW, Australia. jake.williams@sydney.edu.au.ORCID 0000-0001-8394-2682
Mbathio DiengThe University of Sydney NHMRC Clinical Trials Centre, Sydney, NSW, Australia.ORCID 0000-0001-6714-9633
Katy BellSchool of Public Health, The University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-0137-3218
Scott McAlisterDepartment of Critical Care, University of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0001-8702-6374
Rachael L MortonThe University of Sydney NHMRC Clinical Trials Centre, Sydney, NSW, Australia.ORCID 0000-0001-7834-0572

Funding

Faculty of Medicine and Health, University of Sydney Research Centres Stipend Scholarship (SC4167)Healthy Environments and Lives (HEAL) National Research Network Travel awardNational Health and Medical Research Council Investigator Grant (1194703)National Health and Medical Research Council Investigator Grant (2023/GNT2025294)Wiser Healthcare Early Career Researcher SupportWiser Healthcare Seed Funding Grant Scheme (2024-5)
6 · The paper itself

Abstract

objectivesThe aim of this study was to estimate the health system cost and carbon emissions of diagnostic imaging tests undertaken by patients on different surveillance schedules for follow-up of stage III melanoma. We also aimed to demonstrate how different monetary valuations of carbon emissions affect overall cost.

methodsWe conducted a retrospective analysis of administrative data from the Melanoma Institute Australia's Melanoma Research Database for patients diagnosed with stage III melanoma between 2000 and 2014 and followed them until 2023. Imaging tests (computed tomography [CT], positron emission tomography [PET], PET-CT, ultrasound, X-ray, and magnetic resonance imaging [MRI]) undertaken during follow-up were described. Healthcare costs were estimated per patient-year using data from the Medicare Benefits Schedule. Carbon emissions from tests and transport were estimated per patient-year using life cycle assessment and valued using New South Wales carbon values.

resultsOverall, 553 patients were included in this study: 115 in the 3-6-monthly surveillance imaging group, 273 in the 12-monthly surveillance imaging group, and 165 in the no routine imaging surveillance group. Healthcare costs and carbon emissions were highest in the 3-6-monthly group (Australian dollar [AUD] $1098 and 226 kg carbon dioxide equivalent emissions [CO

conclusionsMore frequent surveillance imaging of patients with stage III melanoma is associated with higher healthcare costs and environmental impacts, the latter of which are responsible for a small proportion of total costs when valued in dollars.

Indexed as

Diagnostic ImagingHealth Care CostsMelanomaSkin NeoplasmsAdultAgedAustraliaFemaleHumansMaleMiddle AgedNeoplasm StagingRetrospective Studies

Identifiers

PMID40884691
PMCPMC12790521

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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.