Evidence map›Paper›PMID 35565365›Full record

ArticleCancers2022

Diagnostic Workup for Patients with Solid Renal Masses: A Cost-Effectiveness Analysis.

Jasmin Runtemund, Johannes Rübenthaler, Niklas von Münchhausen, Maria Ingenerf, Freba Grawe, Gloria Biechele, Felix Gerhard Gassert, Fabian Tollens, Johann Rink, Sasa Cecatka and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

14 authors at 3 institutions in 1 country.

Jasmin RuntemundDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.
Johannes RübenthalerDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.ORCID 0000-0003-0832-5662
Niklas von MünchhausenDepartment of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany.
Maria IngenerfDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.ORCID 0000-0001-6465-4597
Freba GraweDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.
Gloria BiecheleDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.
Felix Gerhard GassertDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.
Fabian TollensDepartment of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany.
Johann RinkDepartment of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany.ORCID 0000-0002-7069-5181
Sasa CecatkaDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.
Christine Schmid-TannwaldDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.
Matthias F FroelichDepartment of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany.ORCID 0000-0001-8501-2147
Dirk-André ClevertDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.ORCID 0000-0003-3889-5447
Moritz L SchnitzerDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.
LMU Klinikum · DEUniversity Medical Centre Mannheim · DETUM Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor patients with solid renal masses, a precise differentiation between malignant and benign tumors is crucial for forward treatment management. Even though MRI and CT are often deemed as the gold standard in the diagnosis of solid renal masses, CEUS may also offer very high sensitivity in detection. The aim of this study therefore was to evaluate the effectiveness of CEUS from an economical point of view.

methodsA decision-making model based on a Markov model assessed expenses and utilities (in QALYs) associated with CEUS, MRI and CT. The utilized parameters were acquired from published research. Further, a Monte Carlo simulation-based deterministic sensitivity analysis of utilized variables with 30,000 repetitions was executed. The willingness-to-pay (WTP) is at USD 100,000/QALY.

resultsIn the baseline, CT caused overall expenses of USD 10,285.58 and an efficacy of 11.95 QALYs, whereas MRI caused overall expenses of USD 7407.70 and an efficacy of 12.25. Further, CEUS caused overall expenses of USD 5539.78, with an efficacy of 12.44. Consequently, CT and MRI were dominated by CEUS, and CEUS remained cost-effective in the sensitivity analyses.

conclusionsCEUS should be considered as a cost-effective imaging strategy for the initial diagnostic workup and assessment of solid renal masses compared to CT and MRI.

Indexed as

CEUScost-effectivenesssolid renal masses

Identifiers

PMID35565365
PMCPMC9104211
OpenAlexW4225132369

What OpenQuestion holds

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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.