Only two of the included studies demonstrated predictive validity of their metrics for live robotic hysterectomy performance.¶

Claim · All claims
Evidence · 1 study (2 entries) · quant-synthesis r2 · q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person · recheck by 2028: tool and model accuracy changes quickly

Subclaims¶

q3 i? Of the studies reporting intraoperative performance, two demonstrated predictive validity. → Arcamo K 2025 q3 i? Culligan et al. found no significant difference between expert and trainee surgeons across all metrics except GOALS scores after a live robotic supracervical hysterectomy. → Arcamo K 2025 (2)

Evidence¶

Arcamo K 2025¶

Arcamo K, Murugappan S, Larkins K, Mohan H, Costello A, Pendlebury A, McNally O, McBain R. (2025). Determining the metrics of competence in robotic hysterectomy: a systematic review. Journal of Robotic Surgery. https://doi.org/10.1007/s11701-025-02471-6

q3 · i? · quant-synthesis · r2

The review reports that "Of the articles that reported intraoperative robotic hysterectomy performance, two demonstrated predictive validity."

"Of the articles that reported intraoperative robotic hysterectomy performance, two demonstrated predictive validity."

Arcamo K 2025 (2)¶

Arcamo K, Murugappan S, Larkins K, Mohan H, Costello A, Pendlebury A, McNally O, McBain R. (2025). Determining the metrics of competence in robotic hysterectomy: a systematic review. Journal of Robotic Surgery. https://doi.org/10.1007/s11701-025-02471-6

q3 · i? · review · r2

The review reports that Culligan et al. found "no significant difference between expert and trainee robotic surgeons across all metrics except for GOALS scores" after a live robotic supracervical hysterectomy.

"At the completion of a live robotic supracervical hysterectomy, Culligan et al. demonstrated that there was no significant difference between expert and trainee robotic surgeons across all metrics except for GOALS scores."

Discussion¶

Related Claims¶

• A systematic search identified six studies of performance metrics for robotic hysterectomy, revealing a lack of standardized and validated metrics specific to the procedure. — related
• Most reviewed simulation studies demonstrated face and content validity, but few assessed construct or predictive validity — related
• The Robotic Hysterectomy Assessment Score (RHAS) is the only robotic hysterectomy-specific clinical skills assessment identified in the literature. — related
• Virtual reality simulator performance has limited correlation with intraoperative robotic hysterectomy performance. — related
• Most identified assessment tools demonstrate construct or concurrent validity, but predictive validity is absent across tool categories — reports the opposite
• No objective assessment tool in minimally invasive gynecological surgery showed predictive validity correlating scores with patient outcomes — related
• Only two of 37 objective assessment tools in minimally invasive gynecological surgery showed substantial evidence of validity — related
• Most included studies were conducted in simulation (n=48) rather than live surgery (n=32), and metrics such as eye-tracking and EEG were disproportionately used in simulation — related