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Record W3019952953 · doi:10.17925/ee.2020.16.1.66

Hyperinsulinaemic Hypoglycaemia and Polycystic Kidney Disease – A Rare Case Concerning <i>PMM2</i> Gene Pleiotropy

2020· article· en· W3019952953 on OpenAlexaff
Ana Rita Soares, Catarina Figueiredo, Dulce Quelhas, Ermelinda Santos Silva, Joana Freitas, Maria João Oliveira, Ana María Fortuna, Teresa Borges

Bibliographic record

VenuetouchREVIEWS in Endocrinology · 2020
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsMedicinePleiotropyDiseasePolycystic kidney diseaseGeneInternal medicineGeneticsBiologyPhenotype

Abstract

fetched live from OpenAlex

Hyperinsulinaemic hypoglycaemia (HH) is a very rare disease with an estimated incidence of 1/50,000, 1 and includes a clinical, histological and genetic heterogeneous group of disorders characterised by hypoglycaemia, hyperinsulinism or, more specifically, increased C-peptide level and inappropriate low blood levels of ketone bodies during a hypoglycaemic event.HH is a variable condition: it can be transient or persistent; patients can present with mild symptoms or with very symptomatic hypoglycaemia with adrenergic symptoms or life-threatening neurologic symptoms; it can be congenital or secondary, mainly to overgrowth syndromes/metabolic disorders.Pancreatic lesions that can cause HH may be diffuse or focal.Both 18F-fluoro-dihydroxyphenylalanine (18F-DOPA) positron emission tomography (PET)/computed tomography (CT) and genetic study are essential diagnostic tools to differentiate these types, with important management implications.Until 2017, 12 genes were described in the literature associated with HH, but still 50% of cases remain without genetic confirmation.2 Management depends on both phenotype and genotype, but all require intravenous glucose at very high infusion rate (>8 mg/kg/min) at presentation.There are different approaches for management in the non-acute phase, such as increased glucose intake (oral or intravenous), dietary modifications, exercise eviction, pharmacological treatment (such as diazoxide, octreotide or lanreotide), hormone administration (such glucagon) or surgical treatment (excision of focal lesion or almost total pancreatectomy for diffuse lesion).Polycystic kidney disease (PKD), mainly the autosomal recessive type, is a hepatorenal fibrocystic disease, 3 characterised by bilaterally enlarged, diffusely echogenic kidneys that can be found on prenatal ultrasound or after birth, and biliary ductal ectasia or signs of congenital hepatic fibrosis.It is usually more severe than the autosomal dominant type and presents earlier in life.Biallelic pathogenic variants in the PKHD1 gene are found in about 42-87% of patients.3 About 30% of these children die in the neonatal period or within the first year of life due to respiratory insufficiency consequent to oligohydramnios.4 The co-occurrence of both diseases (HIPKD) has been recently described by Cabezas et al., in a group of 17 patients from 11 families.5 It is caused by non-coding variant in the promoter region for phosphomannomutase 2 (PMM2), c.-167G>T, both in homozygous or compound heterozygous variants with deleterious coding.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.039
GPT teacher head0.279
Teacher spread0.240 · 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 designCase report
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".

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Citations10
Published2020
Admission routes1
Has abstractyes

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