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Effect of virtual reality training on laparoscopic surgery: randomised controlled trial

2009· article· en· 548 citations· W2025018107 on OpenAlex· 10.1136/bmj.b1802

Why is this work in the frame?

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

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

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.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: Randomized trialConsensus signal: Randomized trial
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.059
Threshold uncertainty score
0.471
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.055
GPT teacher head0.368
Teacher spread
0.313 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

OBJECTIVE: To assess the effect of virtual reality training on an actual laparoscopic operation. DESIGN: Prospective randomised controlled and blinded trial. SETTING: Seven gynaecological departments in the Zeeland region of Denmark. PARTICIPANTS: 24 first and second year registrars specialising in gynaecology and obstetrics. INTERVENTIONS: Proficiency based virtual reality simulator training in laparoscopic salpingectomy and standard clinical education (controls). MAIN OUTCOME MEASURE: The main outcome measure was technical performance assessed by two independent observers blinded to trainee and training status using a previously validated general and task specific rating scale. The secondary outcome measure was operation time in minutes. RESULTS: The simulator trained group (n=11) reached a median total score of 33 points (interquartile range 32-36 points), equivalent to the experience gained after 20-50 laparoscopic procedures, whereas the control group (n=10) reached a median total score of 23 (22-27) points, equivalent to the experience gained from fewer than five procedures (P<0.001). The median total operation time in the simulator trained group was 12 minutes (interquartile range 10-14 minutes) and in the control group was 24 (20-29) minutes (P<0.001). The observers' inter-rater agreement was 0.79. CONCLUSION: Skills in laparoscopic surgery can be increased in a clinically relevant manner using proficiency based virtual reality simulator training. The performance level of novices was increased to that of intermediately experienced laparoscopists and operation time was halved. Simulator training should be considered before trainees carry out laparoscopic procedures. TRIAL REGISTRATION: ClinicalTrials.gov NCT00311792.

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.

The record

Venue
BMJ
Topic
Surgical Simulation and Training
Field
Medicine
Canadian institutions
St. Michael's Hospital
Funders
not available
Keywords
Interquartile rangeMedicineVirtual realityLaparoscopic surgeryPhysical therapyRandomized controlled trialLaparoscopySurgerySimulationComputer science
Has abstract in OpenAlex
yes