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Record W2797192410 · doi:10.5489/cuaj.5227

Transitioning patients with hypospadias and other penile abnormalities to adulthood: What to expect?

2018· review· en· W2797192410 on OpenAlexaffvenue
Keith Rourke, Luis H. Braga

Bibliographic record

VenueCanadian Urological Association Journal · 2018
Typereview
Languageen
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsMcMaster UniversityUniversity of Alberta
Fundersnot available
KeywordsHypospadiasMedicineSurgery

Abstract

fetched live from OpenAlex

Hypospadias patients presenting to adult urologists do so with a wide range of symptoms and problems, including urethral stricture (45-72%), lower urinary tract symptoms (with or without stricture) (50-82%), urethrocutaneous fistula (16-30%), persisting hypospadias (14-43%), micturition spraying (24%), ventral curvature (14-24%), urinary tract infection (15-25%), or lichen sclerosus (13%; range 8-43). Many of these men have concurrent complications as the result of multiple operations and a variety of techniques. Patients with childhood repairs performed by a pediatric urologist are often lost to followup during adolescence and will reemerge in adulthood after what appeared to be a successful pediatric single-stage repair, stressing the need for long-term followup and transitional care. One of the major challenges in successful transitional care is that patients can feel traumatized with feelings of hopelessness surrounding their defects, leaving them hesitant to seek care. As well, these patients often have little knowledge regarding the type of repair or original location of the meatus. Urethral stricture is the most common presenting complication and could be related to various factors, with the clear etiology still under debate. These strictures can fall under four categories based on length, location, and previous surgeries. To lessen the difficulties in transitioning hypospadias patients from pediatric to adult practitioners, followup throughout childhood and adolescence for physical examination, as well as uroflowmetry, is mandatory.

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 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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.935
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.258
Teacher spread0.237 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations27
Published2018
Admission routes2
Has abstractyes

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