Evidence map›Paper›PMID 42460430›Full record

ArticleNeuro-oncology advances

Prediction of meningioma shrinkage after cyproterone acetate cessation.

Annabelle Collin, Virginie Montalibet, Paul E Constanthin, Olivier Saut, Julien Engelhardt

Abstract read
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Annabelle CollinMathematics Laboratory Jean Leray, UMR 6629, Nantes University, CNRS, Nantes, France (A.C.).ORCID https://orcid.org/0000-0001-9552-3389
Virginie MontalibetInria Center, Bordeaux University, team-project Monc, Talence, France.
Paul E ConstanthinDepartment of Neurosurgery, Bordeaux University Hospital, Bordeaux, France.
Olivier SautInria Center, Bordeaux University, team-project Monc, Talence, France.
Julien EngelhardtMathematics Institute of Bordeaux, UMR 5251, Bordeaux University, CNRS, Bordeaux INP, Talence, France.ORCID https://orcid.org/0000-0003-4024-941X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Progestin-induced meningiomas may stabilize or regress after discontinuation of cyproterone acetate (CPA), but the determinants of this volumetric response remain unclear. Identifying predictors of tumor shrinkage could improve patient management and prognosis. Methods: We retrospectively analyzed the longitudinal volumetric evolution of 137 meningiomas diagnosed during ongoing CPA treatment in 52 consecutive patients. Tumor volumes were measured from all available imaging studies. Four mathematical models (linear, exponential, power, and the Gompertz) were compared to describe tumor growth trajectories. Response patterns were derived from the Gompertz modeling. Predictive models were constructed using random forests, with leave-one-out cross-validation. Baseline clinical and radiological variables, as well as early volumetric response at 3 months, were evaluated as predictors. Results: The Gompertz model best described tumor volume evolution. Three patterns of tumor response after CPA withdrawal were identified: response with low limit volume (47%), response with high limit volume (41%), and non-response (12%). At the patient level, analogous clusters were found: low limit response (22%), high limit response (64%), and non-response (14%). Random forest models predicted cluster membership with error rates of 24.8% at the tumor level and 23.1% at the patient level. The most informative predictors were initial tumor burden and patient age at CPA exposure and withdrawal. Incorporating early volumetric response at 3 months reduced the prediction error to 9.5% for tumors and 3.8% for patients. Conclusions: Tumor burden and age at CPA exposure are major predictors of meningioma shrinkage after treatment discontinuation. Early volumetric changes provide additional prognostic value and significantly improve predictive accuracy.

Indexed as

cyproterone acetateGompertz modelmeningiomasprogesteronerandom forests

Identifiers

PMID42460430
PMCPMC13368815

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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.