Evidence map›Paper›PMID 38648945›Full record

ArticleUrology2024

Cost-Effectiveness Analysis of the Clear Cell Likelihood Score Against Renal Mass Biopsy for Evaluating Small Renal Masses.

Katherina Y Chen, Moritz J Lange, Jessica X Qiu, Drew Lambert, Ayman Mithqal, Tracey L Krupski, Noah S Schenkman, Jennifer M Lobo

Open access · greenAbstract readComparative Study
In one paragraph

Article in Urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 1 country.

Katherina Y ChenDepartment of Urology, University of Virginia, Charlottesville, VA.
Moritz J LangeUniversity of Virginia School of Medicine, Charlottesville, VA.
Jessica X QiuUniversity of Virginia School of Medicine, Charlottesville, VA.
Drew LambertDepartment of Radiology and Medical Imaging, Charlottesville, VA.
Ayman MithqalDepartment of Radiology and Medical Imaging, Charlottesville, VA.
Tracey L KrupskiDepartment of Urology, University of Virginia, Charlottesville, VA.
Noah S SchenkmanDepartment of Urology, University of Virginia, Charlottesville, VA.
Jennifer M LoboDepartment of Urology, University of Virginia, Charlottesville, VA; Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA. Electronic address: jenn.lobo@virginia.edu.
University of Virginia · USUniversity of Virginia Medical Center · US

Funding

Optimizing Treatment Decision Making for Patients with Localized Renal MassR01CA284057 · NCI · UNIVERSITY OF VIRGINIA · PI Stephen Hembree Culp, Jennifer Mason Lobo · 2023 to 2026
$1.5M
NCI NIH HHS R01 CA284057
6 · The paper itself

Abstract

objectiveTo examine the cost-effectiveness of the clear cell likelihood score compared to renal mass biopsy (RMB) alone.

methodsThe clear cell likelihood score, a new grading system based on multiparametric magnetic resonance imaging, has been proposed as a possible alternative to percutaneous RMB for identifying clear cell renal carcinoma in small renal masses and expediting treatment of high-risk patients. A decision analysis model was developed to compare a RMB strategy where all patients undergo biopsy and a clear cell likelihood score strategy where only patients that received an indeterminant score of 3 undergo biopsy. Effectiveness was assigned 1 for correct diagnoses and 0 for incorrect or indeterminant diagnoses. Costs were obtained from institutional fees and Medicare reimbursement rates. Probabilities were derived from literature estimates from radiologists trained in the clear cell likelihood score.

resultsIn the base case model, the clear cell likelihood score was both more effective (0.77 vs 0.70) and less expensive than RMB ($1629 vs $1966). Sensitivity analysis found that the nondiagnostic rate of RMB and the sensitivity of the clear cell likelihood score had the greatest impact on the model. In threshold analyses, the clear cell likelihood score was the preferred strategy when its sensitivity was greater than 62.7% and when an MRI cost less than $5332.

conclusionThe clear cell likelihood score is a more cost-effective option than RMB alone for evaluating small renal masses for clear cell renal carcinoma.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsBiopsyCost-Effectiveness AnalysisDecision Support TechniquesHumansKidneyMultiparametric Magnetic Resonance ImagingNeoplasm Grading

Identifiers

PMID38648945
PMCPMC11193637
OpenAlexW4394981942

What OpenQuestion holds

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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.