MétaCan
Menu
Back to cohort
Record W2999397029 · doi:10.1111/jdv.16190

Hornstein–Knickenberg syndrome vs. Birt–Hogg–Dubé syndrome: a critical review of an unjustified designation

2020· review· en· W2999397029 on OpenAlexaboutno aff
Rudolf Happle

Bibliographic record

VenueJournal of the European Academy of Dermatology and Venereology · 2020
Typereview
Languageen
FieldMedicine
TopicCancer and Skin Lesions
Canadian institutionsnot available
Fundersnot available
KeywordsBirt–Hogg–Dubé syndromeCancerTraitMedicineComputer scienceSurgeryInternal medicine

Abstract

fetched live from OpenAlex

The disorder that is presently called 'Birt-Hogg-Dubé syndrome' was in reality delineated in 1975 by Otto P. Hornstein and Monika Knickenberg from Erlangen (Germany) who emphasized that the occurrence of multiple 'perifollicular fibromas' represented a distinct autosomal dominant trait heralding extracutaneous cancer proneness. By contrast, Arthur R. Birt, Georgina R. Hogg and W. James Dubé from Winnipeg, Manitoba, Canada, claimed in 1977 that they had discovered 'a previously unrecognized hereditary pilar hamartoma' for which they proposed the name 'fibrofolliculoma', to be distinguished from the perifollicular fibromas as reported by Hornstein and Knickenberg. Today, many authors believe that 'fibrofolliculoma' is identical with 'perifollicular fibroma', but for the purpose of the present article this question can be left open. More importantly, the Canadian authors did not mention any association with extracutaneous cancer proneness within the large family examined in Winnipeg, nor when discussing the report from Erlangen, which means that they have neither described nor redescribed the syndrome that presently bears their names. Hence, the autosomal dominant disorder of multiple perifollicular fibromas heralding proclivity to extracutaneous cancer should be called after the original authors, Hornstein-Knickenberg syndrome.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.487
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.064
GPT teacher head0.366
Teacher spread0.302 · 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 designSystematic review
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

Citations15
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the European Academy of Dermatology and VenereologySame topicCancer and Skin LesionsFrench-language works237,207