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Record W4315434910 · doi:10.1016/j.jpurol.2022.12.001

Identifying variability in surgical practices and instrumentation for hypospadias repair across the Western Pediatric Urology Consortium (WPUC) network

2023· article· en· W4315434910 on OpenAlexaff
Justine R. Yamashiro, J. Christopher Austin, Luis H. Braga, Kai‐wen Chuang, Carol A. Davis-Dao, Sarah L. Hecht, Sarah A. Holzman, Antoine E. Khoury, Eric A. Kurzrock, Steven E. Lerman, M. A. McGrath, Paul A. Merguerian, Amanda F. Saltzman, Anthony J. Schaeffer, Casey A. Seideman, Jennifer Singer, Peter Wang, Elias J. Wehbi, Hsi‐Yang Wu, Renea Sturm

Bibliographic record

VenueJournal of Pediatric Urology · 2023
Typearticle
Languageen
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsVictoria HospitalLondon Health Sciences CentreMcMaster University
FundersNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsHypospadiasMedicineUrethroplastySurgeryGeneral surgeryUrethra

Abstract

fetched live from OpenAlex

BACKGROUND: Although hypospadias outcomes studies typically report a level or type of repair performed, these studies often lack applicability to each surgical practice due to technical variability that is not fully delineated. An example is the tubularized incised plate (TIP) urethroplasty procedure, for which modifications have been associated with significantly decreased complication rates in single center series. However, many studies fail to report specificity in techniques utilized, thereby limiting comparison between series. OBJECTIVE: With the goal of developing a surgical atlas of hypospadias repair techniques, this study examined 1) current techniques used by surgeons in our network for recording operative notes and 2) operative technical details by surgeon for two common procedures, tubularized incised plate (TIP) distal and proximal hypospadias repairs across a multi-institutional surgical network. STUDY DESIGN: A two-part study was completed. First, a survey was distributed to the network to assess surgeon volume and methods of recording hypospadias repair operative notes. Subsequently, an operative template or a representative de-identified operative note describing a TIP and/or proximal repair with urethroplasty was obtained from participating surgeons. Each was analyzed by at least two individuals for natural language that signified specified portions of the procedure. Procedural details from each note were tabulated and confirmed with each surgeon, clarifying that the recorded findings reflected their current practice techniques and instrumentation. RESULTS: Twenty-five surgeons from 12 institutions completed the survey. The number of primary distal hypospadias repairs performed per surgeon in the past year ranged from 1-10 to >50, with 40% performing 1-20. Primary proximal hypospadias repairs performed in the past year ranged from 1-30, with 60% performing 1-10. 96% of surgeons maintain operative notes within an electronic health record. Of these, 66.7% edited a template as their primary method of note entry; 76.5% of these surgeons reported that the template captures their operative techniques very or moderately well. Operative notes or templates from 16 surgeons at 10 institutions were analyzed. In 7 proximal and 14 distal repairs, parameters for chordee correction, urethroplasty suture selection and technique, tissue utilized, and catheter selection varied widely across surgeons. CONCLUSION: Wide variability in technical surgical details of categorically similar hypospadias repairs was demonstrated across a large surgical network. Surgeon-specific modifications of commonly described procedures are common, and further evaluation of short- and long-term outcomes accounting for these technical variations is needed to determine their relative influence.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.010
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.366
Teacher spread0.312 · 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 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

Citations7
Published2023
Admission routes1
Has abstractyes

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