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Record W2098361976 · doi:10.5489/cuaj.3092

A case of idiopathic diabetes insipidus presented with bilateral hydroureteronephrosis and neurogenic bladder: A pediatric case report and literature review

2015· article· en· W2098361976 on OpenAlexvenueno aff
Özgür Haki Yüksel, Mithat Kivrak, Aytaç Şahin, Serkan Akan, Ahmet Ürkmez, Ayhan Verit

Bibliographic record

VenueCanadian Urological Association Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicElectrolyte and hormonal disorders
Canadian institutionsnot available
Fundersnot available
KeywordsDiabetes insipidusMedicineSurgeryPediatrics

Abstract

fetched live from OpenAlex

Diabetes insipidus (DI) is a condition with heterogeneous clinical symptoms characterized by polyuria (urine output >4 mL/kg/hr) and polydipsia (water intake >2 L/m (2)/d). In children, acquired nephrogenic DI (NDI) is more common than central DI (CDI). Diagnosis is based on the presence of high plasma osmolality and low urinary osmolality with significant water diuresis. A water deprivation test with vasopressin challenge, though has limitations, is done to differentiate NDI from CDI and diagnose their incomplete forms. Neonates and young infants are better managed with hydration therapy alone. Older children with CDI are treated with desmopressin (1-deamino-8-D-arginine vasopressin, dDAVP). Its oral form is safe, highly effective and has dosing flexibility. We report a case of an 8-year-old male patient with CDI with severe bilateral non-obstructive hydronephrosis and megaureter. Dramatic clinical and radiological responses to dDAVP treatment were achieved and therapy reduced urine volume and led to marked radiological improvement in hydronephrosis.

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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.005
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0050.004
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 head0.011
GPT teacher head0.224
Teacher spread0.213 · 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".

Quick stats

Citations7
Published2015
Admission routes1
Has abstractyes

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