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Record W4406682967 · doi:10.1080/14656566.2025.2452938

Palovarotene in fibrodysplasia ossificans progressiva: review and perspective

2025· review· en· W4406682967 on OpenAlexaffabout
Vincent A. Verheij, Robert J. Diecidue, Esmée Botman, Joseph D. Harrington, Nobuhiko Haga, Alberto Hidalgo‐Bravo, Patricia Delai, Vrisha Madhuri, Mona Al Mukaddam, Keqin Zhang, Tae‐Joon Cho, Rolf Morhart, Richard Keen, Carmen L. De Cunto, Clive Friedman, Zvi Grunwald, Michael Zasloff, J.C. Netelenbos, Edward C. Hsiao, Frederick S. Kaplan, Robert J. Pignolo, Christiaan Scott, Elisabeth M. W. Eekhoff

Bibliographic record

VenueExpert Opinion on Pharmacotherapy · 2025
Typereview
Languageen
FieldMedicine
TopicHeterotopic Ossification and Related Conditions
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFibrodysplasia ossificans progressivaMedicinePerspective (graphical)Myositis ossificansDermatologyHeterotopic ossificationSurgery

Abstract

fetched live from OpenAlex

INTRODUCTION: Palovarotene is a retinoic acid receptor gamma agonist that was studied in phase-2 and phase-3 clinical trials for the inhibition of new heterotopic ossification (HO) in fibrodysplasia ossificans progressiva (FOP). Despite numerous setbacks and regulatory delays, palovarotene is now the first approved FOP treatment in the U.S.A., Canada and Australia but remains unapproved in Europe where concerns surrounding the drug and its path to regional market authorization persist. AREAS COVERED: The developmental history of palovarotene and an overview of the clinical trials and the regulatory approval journey are discussed by global FOP experts. EXPERT OPINION: While post hoc analyses indicate that palovarotene may have modest benefits for the inhibition of new HO formation in FOP, a number of limitations and concerns remain about its generalized use. Although the long-term risks and benefits of treatment with palovarotene remain unknown, the regional approval of palovarotene marks a milestone for the FOP community at the very beginning of a new era of clinical trials.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.063
GPT teacher head0.487
Teacher spread0.424 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes2
Has abstractyes

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