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Record W2590603583 · doi:10.1097/mcd.0000000000000172

Genitourinary malformations: an under-recognized feature of ectrodactyly, ectodermal dysplasia and cleft lip/palate syndrome

2017· article· en· W2590603583 on OpenAlexaff
Zerin Hyder, Victoria Beale, R. P. O'Connor, Jill Clayton‐Smith

Bibliographic record

VenueClinical Dysmorphology · 2017
Typearticle
Languageen
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsHealth Sciences Centre
Fundersnot available
KeywordsMedicineEctrodactylyGenitourinary systemEctodermal dysplasiaRenal dysplasiaHypertelorismHydronephrosisMegaureterDermatologyDysplasiaPediatricsUrinary systemAnatomyPathology

Abstract

fetched live from OpenAlex

The ectodermal dysplasia and cleft lip/palate (EEC) syndrome describes the association of ectrodactyly, ectodermal dysplasia and orofacial clefting. As with many autosomal dominant disorders, there is variability in expression and not all of these three core features are present in every individual with the condition. Moreover, there may be additional associated features, which are under-recognized. One of these is the presence of genitourinary anomalies, some of which cause significant morbidity. This report details a further two patients with EEC syndrome and genitourinary involvement, including flaccid megacystis with detrusor muscle failure, bilateral hydronephrosis and megaureter, requiring significant renal and urological involvement during their childhood. We go on to review the literature on the diagnosis and management of genitourinary malformations in EEC 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 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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.067
GPT teacher head0.390
Teacher spread0.322 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations11
Published2017
Admission routes1
Has abstractyes

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