Evidence map›Paper›PMID 38102639›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2023

Evaluating the cost-effectiveness of [

Michelle Tew, Abby P Douglas, Jeff Szer, Ashish Bajel, Simon J Harrison, Shio Yen Tio, Leon J Worth, Rodney J Hicks, David Ritchie, Monica A Slavin and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03429387 (Early Diagnosis and Treatment of Infections in Patients With Haematologic Malignancies), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT03429387 nacompletednot on this map

Early Diagnosis and Treatment of Infections in Patients With Haematologic Malignancies: Examining Novel Diagnostics Including Bacterial and Fungal Multiplex PCR and FDG-PET Imaging

TypeinterventionalSponsorPeter MacCallum Cancer Centre, AustraliaRan2018 to 2021Enrolled147ConditionsAcute Myeloid Leukemia, Acute Lymphoblastic Leukemia, Haematopoietic Stem Cell Transplant, Autologous, Haematopoietic Stem Cell Transplant, AllogeneicArmsFDG-PET/CT, Conventional CT
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

12 authors.

Michelle Tew *Health Economics Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia. michelle.tew@unimelb.edu.au.ORCID http://orcid.org/0000-0003-3009-8056
Abby P Douglas *National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Australia.
Jeff SzerDepartment of Medicine, University of Melbourne, Melbourne, Australia.
Ashish BajelDepartment of Oncology, University of Melbourne, Melbourne, Australia.
Simon J HarrisonNational Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Australia.
Shio Yen TioNational Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Australia.
Leon J WorthNational Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Australia.
Rodney J HicksDepartment of Oncology, University of Melbourne, Melbourne, Australia.
David RitchieDepartment of Medicine, University of Melbourne, Melbourne, Australia.
Monica A SlavinNational Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Australia.
Karin A Thursky *National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Australia.
Kim Dalziel *Health Economics Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.

Funding

National Health and Medical Research Council (NHMRC) Centre of Research Excellenc APP1116876
6 · The paper itself

Abstract

backgroundA recent randomised trial demonstrated [

methodsUnit costs in Australian dollars were applied to all resources used (antimicrobials, diagnostic tests, ICU and hospital bed days). Effectiveness was measured as number of patients with antimicrobial rationalisation, 6-month mortality and quality-adjusted life years (QALYs) derived from patient-reported trial-based health-related quality-of-life. Generalised linear models were used to analyse costs and outcomes. Incremental cost-effectiveness ratios (ICERs) for all outcomes and net monetary benefit (NMB) for QALYs were calculated. We performed bootstrapping with 1000 replications using the recycled predictions method.

resultsThe adjusted healthcare costs were lower for FDG-PET/CT (mean $49,563; 95%CI 36,867, 65,133) compared to CT (mean $57,574; 95% CI 44,837, 73,347). The difference in QALYs between the two groups was small (0.001; 95% CI -0.001, 0.004). When simulated 1000 times, FDG-PET/CT was the dominant strategy as it was cheaper with better outcomes than the standard CT group in 74% of simulations. The estimated NMBs at willingness-to-pay thresholds of $50,000 and $100,000 per QALY were positive, thus FDG-PET/CT remained cost-effective at these thresholds.

conclusionsFDG-PET/CT is cost effective when compared to CT for investigation of persistent/recurrent neutropenic fever in high-risk patients, providing further support for incorporation of FDG-PET/CT into clinical guidelines and funding.

trial registrationThis trial is registered with ClinicalTrials.gov, NCT03429387.

Indexed as

Anti-Infective AgentsHematologyAustraliaCost-Benefit AnalysisFluorodeoxyglucose F18HumansPositron-Emission TomographyPositron Emission Tomography Computed TomographyRandomized Controlled Trials as TopicTomography, X-Ray ComputedAnti-Infective AgentsFluorodeoxyglucose F18AntimicrobialCost-effectivenessCostingDiagnostic imagingFebrile neutropenia

Identifiers

PMID38102639
PMCPMC10724891

What OpenQuestion holds

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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.