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Record W3035103624 · doi:10.1097/aog.0000000000003936

Essentials in Minimally Invasive Gynecology Manual Skills Construct Validation Trial

2020· article· en· W3035103624 on OpenAlexaffabout
Malcolm G. Munro, Arnold P. Advincula, Erika Banks, Tamika Auguste, E. Britton Chahine, Chi Chiung Grace Chen, H. Curlin, Elisa M. Jorgensen, Jin Hee Kim, Cara R. King, Joelle Lucas, Magdy P. Milad, Jamal Mourad, Matthew T. Siedhoff, M. Jonathon Solnik, Christopher C. DeStephano, Kim Thayn

Bibliographic record

VenueObstetrics and Gynecology · 2020
Typearticle
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutions123 Certification (Canada)University of Toronto
Fundersnot available
KeywordsMedicineObstetrics and gynaecologySubspecialtyGynecologyCohortProspective cohort studyCertificationPhysical therapySurgeryFamily medicineInternal medicinePregnancy

Abstract

fetched live from OpenAlex

OBJECTIVE: To establish validity evidence for the Essentials in Minimally Invasive Gynecology laparoscopic and hysteroscopic simulation systems. METHODS: A prospective cohort study was IRB approved and conducted at 15 sites in the United States and Canada. The four participant cohorts based on training status were: 1) novice (postgraduate year [PGY]-1) residents, 2) mid-level (PGY-3) residents, 3) proficient (American Board of Obstetrics and Gynecology [ABOG]-certified specialists without subspecialty training); and 4) expert (ABOG-certified obstetrician-gynecologists who had completed a 2-year fellowship in minimally invasive gynecologic surgery). Qualified participants were oriented to both systems, followed by testing with five laparoscopic exercises (L-1, sleeve-peg transfer; L-2, pattern cut; L-3, extracorporeal tie; L-4, intracorporeal tie; L-5, running suture) and two hysteroscopic exercises (H-1, targeting; H-2, polyp removal). Measured outcomes included accuracy and exercise times, including incompletion rates. RESULTS: Of 227 participants, 77 were novice, 70 were mid-level, 33 were proficient, and 47 were experts. Exercise times, in seconds (±SD), for novice compared with mid-level participants for the seven exercises were as follows, and all were significant (P<.05): L-1, 256 (±59) vs 187 (±45); L-2, 274 (±38) vs 232 (±55); L-3, 344 (±101) vs 284 (±107); L-4, 481 (±126) vs 376 (±141); L-5, 494 (±106) vs 420 (±100); H-1, 176 (±56) vs 141 (±48); and H-2, 200 (±96) vs 150 (±37). Incompletion rates were highest in the novice cohort and lowest in the expert group. Exercise errors were significantly less and accuracy was greater in the expert group compared with all other groups. CONCLUSION: Validity evidence was established for the Essentials in Minimally Invasive Gynecology laparoscopic and hysteroscopic simulation systems by distinguishing PGY-1 from PGY-3 trainees and proficient from expert gynecologic surgeons.

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)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.025
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 head0.030
GPT teacher head0.301
Teacher spread0.272 · 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.

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

Citations16
Published2020
Admission routes2
Has abstractyes

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