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Record W4414378276 · doi:10.1093/jbmrpl/ziaf150

Medical guidelines for fibrodysplasia ossificans progressiva

2025· article· en· W4414378276 on OpenAlexaff
Frederick S. Kaplan, Mona Al Mukaddam, Geneviève Baujat, Alberto Hidalgo‐Bravo, Matthew A. Brown, Amanda Cali, Tae‐Joon Cho, C. R. Crowe, Carmen L. De Cunto, Patricia Delai, Robert J. Diecidue, Elisabeth M. W. Eekhoff, Lisa Friedlander, Clive Friedman, Zvi Grunwald, Nobuhiko Haga, Edward C. Hsiao, Richard Keen, Joseph A. Kitterman, Charles E. Levy, Vrisha Madhuri, Rolf Morhart, J.C. Netelenbos, Christiaan Scott, Eileen M. Shore, Michael Zasloff, Ke‐Qin Zhang, Robert J. Pignolo

Bibliographic record

VenueJBMR Plus · 2025
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging and Pathology Studies
Canadian institutionsUniversity of Ottawa
FundersHope FoundationUniversity of PennsylvaniaMayo Clinic
KeywordsFibrodysplasia ossificans progressivaHeterotopic ossificationClinical trialCongenital malformationsOssificationMyositis ossificans

Abstract

fetched live from OpenAlex

Fibrodysplasia ossificans progressiva (FOP) is an ultra-rare genetic condition characterized by congenital malformations of the great toes and progressive heterotopic ossification (HO) in specific anatomic patterns. Present management summarized here is focused on early diagnosis, assiduous avoidance of injury and iatrogenic harm, symptomatic amelioration of painful flare-ups, and optimization of residual function. Twenty-one members of the International Clinical Council on FOP (ICC) and seven consultants from 15 countries, chosen for their clinical expertise in FOP, developed this summary statement. Further advances in therapeutics will be based on rigorous clinical trials to assess novel and emerging treatment and prevention strategies. A detailed and updated exploration of the topics outlined in this brief perspective can be found in "The Medical Management of Fibrodysplasia Ossificans Progressiva: Current Treatment Considerations" which can be found on the International Clinical Council on FOP (ICC) website (www.iccfop.org).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0300.018

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 head0.097
GPT teacher head0.460
Teacher spread0.363 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations7
Published2025
Admission routes1
Has abstractyes

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