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Record W2000244758 · doi:10.5489/cuaj.2170

The impact of resident involvement in minimally-invasive urologic oncology procedures

2014· article· en· W2000244758 on OpenAlexaffvenue
Nedim Ruhotina, Julien Dagenais, Giorgio Gandaglia, Firas Abdollah, Steven L. Chang, Jeffrey J. Leow, Kola Olugbade, Arun Rai, Jesse D. Sammon, Marianne Schmid, Briony K. Varda, Kevin C. Zorn, Mani Menon, Adam S. Kibel, Quoc‐Dien Trinh

Bibliographic record

VenueCanadian Urological Association Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersBrigham and Women's Hospital
KeywordsMedicineNephrectomyProstatectomyLogistic regressionOdds ratioOddsInvasive surgeryLaparoscopySurgeryGeneral surgeryNephrologyUrologyProstate cancerInternal medicineCancerKidney

Abstract

fetched live from OpenAlex

INTRODUCTION: Robotic and laparoscopic surgical training is an integral part of resident education in urology, yet the effect of resident involvement on outcomes of minimally-invasive urologic procedures remains largely unknown. We assess the impact of resident participation on surgical outcomes using a large multi-institutional prospective database. METHODS: Relying on the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) Participant User Files (2005-2011), we abstracted the 3 most frequently performed minimally-invasive urologic oncology procedures. These included radical prostatectomy, radical nephrectomy and partial nephrectomy. Multivariable logistic regression models were constructed to assess the impact of trainee involvement (PGY 1-2: junior, PGY 3-4: senior, PGY ≥5: chief) versus attending-only on operative time, length-of-stay, 30-day complication, reoperation and readmission rates. RESULTS: A total of 5459 minimally-invasive radical prostatectomies, 1740 minimally-invasive radical nephrectomies and 786 minimally-invasive partial nephrectomies were performed during the study period, for which data on resident surgeon involvement was available. In multivariable analyses, resident involvement was not associated with increased odds of overall complications, reoperation, or readmission rates for minimally-invasive prostatectomy, radical and partial nephrectomy. However, operative time was prolonged when residents were involved irrespective of the type of procedure. Length-of-stay was decreased with senior resident involvement in minimally-invasive partial nephrectomies (odds ratio [OR] 0.49, p = 0.04) and prostatectomies (OR 0.68, p = 0.01). The major limitations of this study include its retrospective observational design, inability to adjust for the case complexity and surgeon/hospital characteristics, and the lack of information regarding the minimally-invasive approach utilized (whether robotic or laparoscopic). CONCLUSIONS: Resident involvement is associated with increased operative time in minimally-invasive urologic oncology procedures. However, it does not adversely affect the complication, reoperation or readmission rates, as well as length-of-stay.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.019
Threshold uncertainty score0.774

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
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)0.0000.000

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 head0.023
GPT teacher head0.295
Teacher spread0.271 · 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

Citations53
Published2014
Admission routes2
Has abstractyes

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