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Record W2030422708 · doi:10.1002/ajmg.a.31149

Oculocerebrocutaneous and encephalocraniocutaneous lipomatosis syndromes: Blind men and an elephant or separate syndromes?

2006· review· en· W2030422708 on OpenAlexaff
Alasdair G. W. Hunter

Bibliographic record

VenueAmerican Journal of Medical Genetics Part A · 2006
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and rare skin diseases.
Canadian institutionsIzaak Walton Killam Health CentreChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineScalpPediatricsDermatology

Abstract

fetched live from OpenAlex

The discovery of relevant causative genes has subdued the lumping versus splitting debate with respect to a growing number of syndromes. However, it remains paramount to define unknown genesis syndromes as precisely and appropriately as possible in order to provide accurate prognosis and to facilitate future research. The presentation of a 14-month-old girl, of normal intelligence, who had a colobomatous right eye with cyst, minor intracranial MRI variants, and an area of sparse scalp hair containing a 1 by 1.5 cm, soft, domed, and indented skin lesion suggested a diagnosis of mild oculocerebrocutaneous syndrome (OCCS). An initial exploration of the literature exposed the extreme variability in cases that have been reported as OCCS, and emphasized its possible relationship to encephalocraniocutaneous lipomatosis (ECCL), thus challenging the initial diagnosis. Cases reported, or discussed by others, as possible OCCS (40) and ECCL (44) were reviewed as completely as possible in an effort to determine whether diagnostic criteria could be developed for these syndromes, and to see whether or not evidence favored their continued separation as two syndromes. The approach used was to summarize the data for all cases, to select major and minor diagnostic criteria on the basis of the relative specificity and/or frequency of a sign, to then apply the criteria in a standard fashion and to review the outcome to see if the classification of cases made clinical sense, and to make appropriate adjustments. The criteria were not chosen so as to separate the syndromes and in some instances the same criteria could apply to either syndrome. An approach is outlined for handling reports of patients that purport to be variants or to expand the spectrum of a syndrome, and in the case of OCCS and ECCL this resulted in most such examples being excluded. Application of diagnostic criteria suggests that OCCS and ECCL are distinct, and that some case reports, including some purporting to expand the spectrum of OCCS, should be excluded, at least until such time as the etiology of these conditions is known and those cases can be tested. These diagnostic criteria were developed on the basis of literature reports that varied in their quantity and quality of detail. Furthermore, in many cases reliance had to be placed on copies of original studies with resultant degradation of photographic information. Modern ocular imaging, and histopathology of eye and skin malformations, will often clarify the specific nature of a malformation and, therefore, define exact diagnostic criteria and leave fewer uncertain cases. In the absence of anomalies in those systems, or if histopathology or appropriate imaging is unavailable, the diagnosis in some cases will continue to remain uncertain; this is not an argument for lumping the syndromes.

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)0.000
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 score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.025
GPT teacher head0.346
Teacher spread0.321 · 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

Citations84
Published2006
Admission routes1
Has abstractyes

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