Evidence map›Paper›PMID 42010189›Full record

ArticleJournal of robotic surgery2026

Biomechanical determinants of 8-mm robotic port-site hernia: the impact of torque exposure and operative duration.

Ahmed Rabie, Zachary Dovey, Cristina Falavolti, Rocco Papalia, Stefano Signore, Alberto Martini, Massimiliano Di Marco, Tommasangelo Petitti, Maurizio Buscarini, Osama Zaytoun

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Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ahmed RabieNorthwell Health, NY, USA. dr.ahmed.hamdy.amin@gmail.com.
Zachary DoveyMount Sinai, NY, USA.
Cristina FalavoltiSan Flippo Neri Hospital, Rome, Italy.
Rocco PapaliaUniversity Campus Biomedico, Roma, Italy.
Stefano SignoreSant'Eugenio Hospital, Rome, Italy.
Alberto MartiniUniversity of Cincinnati, Ohio, USA.
Massimiliano Di MarcoCristo Re Hospital, Rome, Italy.
Tommasangelo PetittiUniversity Campus Biomedico, Roma, Italy.
Maurizio BuscariniMount Sinai, NY, USA.
Osama ZaytounMount Sinai, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trocar-site hernia (TSH) is an uncommon but clinically significant complication following minimally invasive surgery. While traditionally associated with larger trocar diameters, hernias at 8-mm robotic port sites have been increasingly reported. The potential role of robotic arm torque and cumulative mechanical stress in facial failure remains poorly defined. To evaluate clinical and biomechanical predictors of 8-mm robotic port-site hernia using a risk -modeling framework, with a particular focus on robotic torque exposure and operative duration. A simulated cohort of 9,482 virtual patients undergoing robotic urologic surgery was generated using clinically plausible distribution derived from published literature and surgical experience. Key exposure variables included a modeled torque exposure score, excessive torque events, and extensive ProGrasp torqueing. Additional variables included body mass index (BMI), frailty index, operative time, and port location. Multivariable logistic regression models were constructed to identify factors associated with hernia formation within modeled datasets. Within the simulated cohort, 8-mm port-site hernia was strongly associated with both clinical and biomechanical factors. Independent predictors included BMI > 30 kg/m² (OR 66.28, p < 0.001), frailty index ≥ 81 (OR 19.47, p < 0.001), and operative duration > 180 min (OR 6.14, p < 0.001). Biomechanical variables demonstrated strong associations, including torque exposure score (OR 1.07 per unit increase, p < 0.001) and excessive torque events (OR 9.15, p < 0.001). Extensive ProGrasp torqueing emerged as the strongest predictor (OR 165.80, p < 0.001). Male sex was associated with reduced risk (OR 0.10, p < 0.001). The predictive model demonstrated good discrimination (AUC ≈ 0.80). In this risk-modeling study, increased torque exposure and prolonged operative duration were strongly associated with 8-mm port-site hernia within a simulated biomechanical framework. These findings support the hypothesis that mechanical stress at the trocar interface may contribute to fascial failure. However, given the modeled nature of the dataset and lack of direct measurement, these results should be interpreted as hypothesis-generating and require validation in prospective clinical studies.

Indexed as

HerniaOperative TimeRobotic Surgical ProceduresUrologic Surgical ProceduresBiomechanical PhenomenaFemaleHumansMaleMiddle AgedRisk FactorsTorque8 mm portBiomechanicsHerniaRoboticTorque

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.