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Record W2194541684 · doi:10.14740/ijcp212w

Sleep Disorder in Children With Overactive Bladder

2015· article· en· W2194541684 on OpenAlexvenueno aff
Parsa Yousefichaijan, Ali Khosrobeigi, Shima Zargar, Bahman Salehi

Bibliographic record

VenueInternational Journal of Clinical Pediatrics · 2015
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsnot available
Fundersnot available
KeywordsOveractive bladderMedicineSleep (system call)Alternative medicinePathologyComputer science

Abstract

fetched live from OpenAlex

Background: Children with an overactive bladder typically exhibit urinary frequency, urgency and urge incontinence. The present investigation was conducted to evaluate the relationship between sleep disorders and hyperactive bladders in children. Methods: Participants in the nested case-control study included 132 children referred to Amirkabir Pediatrics Clinic. Sixty-six children suffering from overactive bladders designated as cases and 66 children referred for other medical conditions designated as controls. Results: The mean score of nine different sleep disorders was 0.38 ± 0.87 for control subjects and 2.24 ± 1.73 among case patients. Obtained data show significant differences between the two groups in terms of sleep disorders (P = 0.001). Conclusions: The study demonstrates a significant difference between children with overactive bladders and without it in primary insomnia, hypersomnia disorder, circadian rhythm sleep disorder and sleep terror disorder. Int J Clin Pediatr. 2015;4(2-3):145-148 doi: http://dx.doi.org/10.14740/ijcp212w

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.065
GPT teacher head0.440
Teacher spread0.375 · 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

Citations5
Published2015
Admission routes1
Has abstractyes

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