Evidence map›Paper›PMID 31174497›Full record

ArticleBMC cancer2019

Advantages of the net benefit regression framework for trial-based economic evaluations of cancer treatments: an example from the Canadian Cancer Trials Group CO.17 trial.

Jeffrey S Hoch, Annette Hay, Wanrudee Isaranuwatchai, Kednapa Thavorn, Natasha B Leighl, Dongsheng Tu, Logan Trenaman, Carolyn S Dewa, Chris O'Callaghan, Joseph Pater and 3 more

Abstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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  3. Lower urinary tract symptoms in men: the TRIUMPH cluster RCT.Health technology assessment (Winchester, England) · 2024
    Trial
  4. Trial
  5. Observational
  6. Article
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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

13 authors.

Jeffrey S HochDivision of Health Policy and Management, Department of Public Health Sciences and Associate Director, Center for Healthcare Policy and Research, 2103 Stockton Blvd, Sacramento, CA, 95817, USA. jshoch@ucdavis.edu.ORCID http://orcid.org/0000-0002-4880-4281
Annette HayDivision of Health Policy and Management, Department of Public Health Sciences and Associate Director, Center for Healthcare Policy and Research, 2103 Stockton Blvd, Sacramento, CA, 95817, USA.
Wanrudee IsaranuwatchaiDivision of Health Policy and Management, Department of Public Health Sciences and Associate Director, Center for Healthcare Policy and Research, 2103 Stockton Blvd, Sacramento, CA, 95817, USA.
Kednapa ThavornDivision of Health Policy and Management, Department of Public Health Sciences and Associate Director, Center for Healthcare Policy and Research, 2103 Stockton Blvd, Sacramento, CA, 95817, USA.
Natasha B LeighlDivision of Health Policy and Management, Department of Public Health Sciences and Associate Director, Center for Healthcare Policy and Research, 2103 Stockton Blvd, Sacramento, CA, 95817, USA.
Dongsheng TuDivision of Health Policy and Management, Department of Public Health Sciences and Associate Director, Center for Healthcare Policy and Research, 2103 Stockton Blvd, Sacramento, CA, 95817, USA.
Logan TrenamanDivision of Health Policy and Management, Department of Public Health Sciences and Associate Director, Center for Healthcare Policy and Research, 2103 Stockton Blvd, Sacramento, CA, 95817, USA.
Carolyn S DewaDivision of Health Policy and Management, Department of Public Health Sciences and Associate Director, Center for Healthcare Policy and Research, 2103 Stockton Blvd, Sacramento, CA, 95817, USA.
Chris O'CallaghanDivision of Health Policy and Management, Department of Public Health Sciences and Associate Director, Center for Healthcare Policy and Research, 2103 Stockton Blvd, Sacramento, CA, 95817, USA.
Joseph PaterDivision of Health Policy and Management, Department of Public Health Sciences and Associate Director, Center for Healthcare Policy and Research, 2103 Stockton Blvd, Sacramento, CA, 95817, USA.
Derek JonkerDivision of Health Policy and Management, Department of Public Health Sciences and Associate Director, Center for Healthcare Policy and Research, 2103 Stockton Blvd, Sacramento, CA, 95817, USA.
Bingshu E ChenDivision of Health Policy and Management, Department of Public Health Sciences and Associate Director, Center for Healthcare Policy and Research, 2103 Stockton Blvd, Sacramento, CA, 95817, USA.
Nicole MittmannDivision of Health Policy and Management, Department of Public Health Sciences and Associate Director, Center for Healthcare Policy and Research, 2103 Stockton Blvd, Sacramento, CA, 95817, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEconomic evaluations commonly accompany trials of new treatments or interventions; however, regression methods and their corresponding advantages for the analysis of cost-effectiveness data are not widely appreciated.

methodsTo illustrate regression-based economic evaluation, we review a cost-effectiveness analysis conducted by the Canadian Cancer Trials Group's Committee on Economic Analysis and implement net benefit regression.

resultsNet benefit regression offers a simple option for cost-effectiveness analyses of person-level data. By placing economic evaluation in a regression framework, regression-based techniques can facilitate the analysis and provide simple solutions to commonly encountered challenges (e.g., the need to adjust for potential confounders, identify key patient subgroups, and/or summarize "challenging" findings, like when a more effective regimen has the potential to be cost-saving).

conclusionsEconomic evaluations of patient-level data (e.g., from a clinical trial) can use net benefit regression to facilitate analysis and enhance results.

Indexed as

AlgorithmsBiomarkers, TumorCanadaClinical Trials as TopicCost-Benefit AnalysisHumansModels, StatisticalNeoplasmsQuality-Adjusted Life YearsRegression AnalysisBiomarkers, TumorCost-effectivenessEconomic evaluationNet benefit regression

Identifiers

PMID31174497
PMCPMC6555934

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.