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Record W4320151517 · doi:10.5114/polp.2022.123914

A new insight into the management of high-grade vesicoureteral reflux

2022· article· en· W4320151517 on OpenAlex
Mohamed G. Atta, Asmaa Ismail, Ahmed Kotb

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePediatria Polska · 2022
Typearticle
Languageen
FieldMedicine
TopicPediatric Urology and Nephrology Studies
Canadian institutionsNOSM UniversityThunder Bay Regional Health Sciences Centre
Fundersnot available
KeywordsVesicoureteral refluxMedicineAttaRefluxInternal medicineZoology

Abstract

fetched live from OpenAlex

Introduction: High-grade vesicoureteral reflux (VUR) is a major dilemma to urologists, with no clear time for intervention in children without evidence of urinary tract infection.The aim of our study was to show our experience in managing high-grade VUR in children with high postvoiding residual.Material and methods: Our study included 24 children with high-grade reflux persistent while being on surveillance and continuous antibiotic prophylaxis.Besides radiological investigations, 24-hour urine output and postvoiding residual were our main clinical parameters to study.Results: All the children with high-grade reflux in our study were found to have polyuria and high postvoiding residual.Surgical correction was done through open surgical ureteral reimplantation combined with the use of vasopressin.Reduction cystoplasty was done for 2 children.One-year follow-up showed satisfactory outcomes in reducing bladder capacity and treating reflux.Conclusions: Children with high-grade VUR should be assessed for polyuria.The presence of polyuria should be an indication for early surgical management.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.267
Teacher spread0.252 · 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