Evidence map›Paper›PMID 26003789›Full record

ReviewEuropean radiology2015

Cost-effectiveness modelling in diagnostic imaging: a stepwise approach.

Anna M Sailer, Wim H van Zwam, Joachim E Wildberger, Janneke P C Grutters

Abstract readReview
In one paragraph

Review in European radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. [European journal of nuclear medicine and molecular imaging · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Artificial Intelligence in Radiation Therapy.IEEE transactions on radiation and plasma medical sciences · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Toward Alignment in the Reporting of Economic Evaluations of Diagnostic Tests and Biomarkers: The AGREEDT Checklist.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Review
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

4 authors.

Anna M SailerDepartment of Radiology, Maastricht University Medical Center, P.O. Box 5800, P.Debyelaan 25, Maastricht, 6202 AZ, The Netherlands. anni.sailer@mumc.nl.
Wim H van ZwamDepartment of Radiology, Maastricht University Medical Center, P.O. Box 5800, P.Debyelaan 25, Maastricht, 6202 AZ, The Netherlands.
Joachim E WildbergerDepartment of Radiology, Maastricht University Medical Center, P.O. Box 5800, P.Debyelaan 25, Maastricht, 6202 AZ, The Netherlands.
Janneke P C GruttersDepartment for Health Evidence, Radboud University Medical Center, P.O. Box 9101, Geert Grooteplein-Zuid 10, Nijmegen, 6500 HB, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledDiagnostic imaging (DI) is the fastest growing sector in medical expenditures and takes a central role in medical decision-making. The increasing number of various and new imaging technologies induces a growing demand for cost-effectiveness analysis (CEA) in imaging technology assessment. In this article we provide a comprehensive framework of direct and indirect effects that should be considered for CEA in DI, suitable for all imaging modalities. We describe and explain the methodology of decision analytic modelling in six steps aiming to transfer theory of CEA to clinical research by demonstrating key principles of CEA in a practical approach. We thereby provide radiologists with an introduction to the tools necessary to perform and interpret CEA as part of their research and clinical practice. KEY POINTS: • DI influences medical decision making, affecting both costs and health outcome. • This article provides a comprehensive framework for CEA in DI. • A six-step methodology for conducting and interpreting cost-effectiveness modelling is proposed.

Indexed as

Decision Support TechniquesCost-Benefit AnalysisDiagnostic ImagingHumansTechnology Assessment, BiomedicalCost EffectivenessDecision ModellingDiagnostic ImagingEconomicsTechnology Assessment

Identifiers

PMID26003789
PMCPMC4636534

What OpenQuestion holds

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LicenceCC BY-NC
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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.