Evidence map›Paper›PMID 32042270›Full record

ArticleCost effectiveness and resource allocation : C/E2020

Cost-effectiveness analysis of imaging surveillance in stage II and III extremity soft tissue sarcoma: an Australian perspective.

Susie Bae, Jonathan Karnon, Glenis Crane, Taryn Bessen, Jayesh Desai, Phillip Crowe, Susan Neuhaus

Open access · goldAbstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 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
1.4field-weighted citation impact, top 16% 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, 14 citations in OpenAlex.

  1. Article
  2. A Scoping Review on Calibration Methods for Cancer Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  3. Article
  4. Review
  5. Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review.International journal of environmental research and public health · 2021
    Review
  6. 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

7 authors at 6 institutions in 1 country.

Susie Bae1Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC 3000 Australia.ORCID 0000-0002-4514-4142
Jonathan Karnon3College of Medicine and Public Health, Flinders University, 1 Flinders Dr, Bedford Park, SA 5042 Australia.
Glenis Crane4The University of Adelaide, Adelaide, SA 5005 Australia.
Taryn Bessen5Department of Radiology, Royal Adelaide Hospital, Adelaide, SA 5000 Australia.
Jayesh Desai1Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC 3000 Australia.
Phillip Crowe6Prince of Wales Hospital, Sydney, 320-346 Barker St, Randwick, NSW 2031 Australia.
Susan Neuhaus4The University of Adelaide, Adelaide, SA 5005 Australia.
The University of Adelaide · AUFlinders University · AUPeter MacCallum Cancer Centre · AUPrince of Wales Hospital · AURoyal Adelaide Hospital · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurveillance imaging is used to detect local and/or distant recurrence following primary treatment of localised soft tissue sarcoma (STS), however evidence supporting optimal surveillance modality or frequency is lacking. We used prospectively collected sarcoma data to describe current surveillance imaging practice in patients with AJCC stage II and III extremity STS and evaluate its cost-effectiveness.

methodsFrom three selected Australian sarcoma referral centres, we identified patients with stage II and III extremity STS treated between 2009 and 2013. Medical records were reviewed to ascertain surveillance imaging practices, including modality, frequency and patient outcomes. A discrete event simulation model was developed and calibrated using clinical data to estimate health service costs and quality adjusted life years (QALYs) associated with alternative surveillance strategies.

resultsOf 133 patients treated for stage II and III extremity STS, the majority were followed up with CT chest (86%), most commonly at 3-monthly intervals and 62% of patients had the primary site imaged with MRI at 6-monthly. There was limited use of chest-X-ray. A discrete event simulation model demonstrated that CT chest screening was the most cost effective surveillance strategy, gaining additional QALYs at a mean incremental cost of $30,743. MRI alone and PET-CT alone were not cost-effective, whilst a combined strategy of CT + MRI had an incremental cost per QALY gained of $96,556.

conclusionsWide variations were observed in surveillance imaging practices in this high-risk STS cohort. Modelling demonstrated the value of CT chest for distant recurrence surveillance over other forms of imaging in terms of cost and QALYs. Further work is required to evaluate cost-effectiveness in a prospective manner.

Indexed as

Cost-effectivenessDisease recurrenceDistant recurrenceImaging surveillanceLocal recurrenceMetastasectomyPulmonary metastasesSoft tissue sarcoma

Identifiers

PMID32042270
PMCPMC6998821
OpenAlexW3008590129

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.