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ArticleHernia : the journal of hernias and abdominal wall surgery2026

Defining complex groin hernia and contextualizing approach selection: a three-round Delphi consensus framework.

Davide Cavaliere, Sara Capoccia Giovannini, Filippo Paratore, Angelo Iossa, Francesco Gossetti, Pier Luigi Ipponi, Gabriele Munegato, Giampiero Campanelli, Giuseppe Cavallaro, Cesare Stabilini and 1 more

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Article in Hernia : the journal of hernias and abdominal wall 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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5 · Who and what money

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11 authors.

Davide CavaliereDepartment of Surgery, AUSL della Romagna, Infermi Hospital, Faenza, Italy. davide.cavaliere@auslromagna.it.ORCID http://orcid.org/0000-0001-8971-5704
Sara Capoccia GiovanniniDepartment of Surgery, University of Genoa, Genoa, Italy.
Filippo ParatoreDepartment of Surgery, AUSL della Romagna, Infermi Hospital, Faenza, Italy.
Angelo IossaDepartment of Medical Surgical Sciences and Biotechnologies, Sapienza University, ICOT Hospital, Latina, Italy.
Francesco GossettiSapienza University, Rome, Italy.
Pier Luigi IpponiOspedale San Giovanni Di Dio, Florence, Italy.
Gabriele MunegatoSurgical Department, San Camillo Hospital, Treviso, Italy.
Giampiero CampanelliUniversità INSUBRIA, Ospedale Galeazzi Sant'Ambrogio, Milan, Italy.
Giuseppe CavallaroDepartment of Medical Surgical Sciences and Biotechnologies, Sapienza University, ICOT Hospital, Latina, Italy.
Cesare StabiliniDepartment of Surgery, University of Genoa, Genoa, Italy.
Delphi Panel Participants.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe term "complex groin hernia" is widely used in clinical practice but lacks a standardized operational definition and a structured framework to guide escalation, referral pathways, and approach selection.

methodsA three-round Delphi process was conducted with a fixed panel of 54 Italian expert abdominal wall surgeons evaluating 85 statements across elective and emergency scenarios spanning (1) definition of complexity, (2) hernia characteristics, (3) patient characteristics, and (4) previous surgical history. Items were scored on a 5-point Likert scale in Rounds 1-2 and on a 3-point scale in Round 3. Consensus was graded as no consensus (< 65%), leaning agreement/disagreement (65-80%), or agreement/disagreement (> 80%).

resultsOverall, 44 of 85 statements (51.8%) achieved at least leaning consensus (≥ 65%): 34 in agreement and 10 in disagreement; strong consensus (> 80%) was reached for 18 statements (21.2%). In elective surgery, complexity was mainly defined by escalation needs, including requirement for a highly experienced surgeon and/or referral to a dedicated center. Emergency presentation should be regarded as a time-sensitive complexity setting; within this domain, consensus clustered around bowel compromise/obstruction and contaminated or dirty fields as severity and planning markers, not as transfer criteria. For approach selection, the panel converged toward a change-of-plane principle for recurrence. Obesity-related items showed heterogeneous views and did not translate into a single preferred approach. Operative time emerged as a pathway-planning modifier rather than a fixed determinant of operative plane.

conclusionsThis Delphi study proposes a conservative, non-prescriptive framework to define and report complex groin hernia. Its most robust outputs concern expertise escalation, emergency risk markers, and the change-of-plane principle for recurrence, while areas of weaker agreement should be interpreted as expertise-sensitive decision nodes requiring external validation.

Indexed as

Hernia, InguinalHerniorrhaphyConsensusDelphi TechniqueElective Surgical ProceduresHumansComplex herniaDelphi consensusGroin herniaHernia surgeryLaparo-endoscopic repairRecurrence

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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.