(Hernia[TA])
4,166 results
  • Postoperative complication burden after ventral hernia repair stratified by modified ventral hernia working group grade: a claims-based cohort study. [Journal Article]
    Hernia. 2026 Oct 01; 30(1).Poulose BK, Goldblatt C, … Gurcan HH
  • CONCLUSIONS: This study operationalizes mVHWG classification in claims data and demonstrates an increase in complication burden across mVHWG grades following VHR, including higher incidence and greater number of complications per patient. Grade 2 patients represented a large proportion of the cohort and experience greater complication burden than Grade 1 patients, underscoring the importance of this risk group. Further research is warranted to validate the algorithm against clinically assigned mVHWG grades as well as to examine long-term outcomes and costs associated with early complications across mVHWG grades.
  • Patient narratives in an online hernia peer-support community: a qualitative netnographic analysis. [Journal Article]
    Hernia. 2026 Sep 25; 30(1).Abbas AA, Xharavina N, … Chintapatla SH
  • CONCLUSIONS: Online patient narratives offer rich insight into the lived experience of hernia and demonstrate how peer communities contribute to information seeking, support, and treatment-related discussion. These exploratory findings identify issues relevant to patient-centred communication and future outcomes research and suggest value in recognising the digital patient as an active information-seeker and co-producer of meaning.
  • From pixels to prediction: CT morphometrics and artificial intelligence in complex ventral hernia repair. [Review]
    Hernia. 2026 Sep 22; 30(1).Agrawal UK, Jaiswal S, Singh AKH
  • CONCLUSIONS: Quantitative CT morphometrics combined with AI has the potential to transform complex ventral hernia assessment from descriptive imaging to evidence-based, patient-specific surgical planning. Future progress will depend on standardized CT acquisition and reporting, consensus morphometric definitions, multicentre collaborative datasets, rigorous external validation of predictive models, and prospective evaluation of their clinical utility before routine implementation in abdominal wall reconstruction.