SynthesisWorld journal of surgery2022
Fascial Dehiscence and Incisional Hernia Prediction Models: A Systematic Review and Meta-analysis.
Synthesis in World journal of surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Risk factors for incisional hernia after open abdominal aortic aneurysm repair: a systematic review and meta-analysis.Hernia : the journal of hernias and abdominal wall surgery · 2024Pooled it
- A randomized controlled trial of the outcomes of Arista™ hemostatic agent in robotic ventral hernia repair.Journal of robotic surgery · 2025Trial
- A postoperative body weight increase is a novel risk factor for incisional hernia of midline abdominal incision after elective gastroenterological surgery.Langenbeck's archives of surgery · 2023Trial
- A traction suture for abdominal wall closure in large incisional hernias: a prospective analysis of the "suitcase technique" - a simple horizontal offloading z-suture for gradual myofascial approximation.Hernia : the journal of hernias and abdominal wall surgery · 2026Article
- Incisional hernia prediction using machine learning models.BMC medical informatics and decision making · 2026Observational
- Incisional hernia after continuous barbed versus interrupted non-barbed sutures for midline fascial closure in minimally invasive colorectal cancer surgery: a propensity score-matched analysis.Hernia : the journal of hernias and abdominal wall surgery · 2026Article
- Reduced Fascial Dehiscence with Combined Small-and-Large Technique Compared to Small-Bite Technique in Emergency Midline Laparotomy: A Retrospective Study.Hernia : the journal of hernias and abdominal wall surgery · 2026Observational
- Systematic Review and Meta-Analysis of the Prevalence and Risk Factors Associated With the Occurrence of Incisional Hernia in Patients Undergoing Midline Laparotomy.Journal of abdominal wall surgery : JAWS · 2026Review
- Machine learning-based prediction of hernia risk in peritoneal dialysis patients: a comparative study of models and SHAP-driven interpretability analysis.Frontiers in medicine · 2026Article
- Enhancing prediction of incisional hernia in liver transplant patients: performance assessment and stepwise revision of a prognostic model.Hernia : the journal of hernias and abdominal wall surgery · 2025Article
- The sagitta in 3D reconstruction of linea alba on routine CT scans is predictive of postoperative burst abdomen.Hernia : the journal of hernias and abdominal wall surgery · 2025Article
- Occurrence and prevention of incisional hernia following laparoscopic colorectal surgery.World journal of gastrointestinal surgery · 2024Article
- Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFascial dehiscence (FD) and incisional hernia (IH) pose considerable risks to patients who undergo abdominal surgery, and many preventive strategies have been applied to reduce this risk. An accurate predictive model could aid identification of high-risk patients, who could be targeted for particular care. This study aims to systematically review existing FD and IH prediction models.
methodsPrediction models were identified using pre-specified search terms on SCOPUS, PubMed, and Web of Science. Eligible studies included those conducted in adult patients who underwent any kind of abdominal surgery, and reported model performance. Data from the eligible studies were extracted, and the risk of bias (RoB) was assessed using the PROBAST tool. Pooling of C-statistics was performed using a random-effect meta-analysis. [Registration: PROSPERO (CRD42021282463)].
resultsTwelve studies were eligible for review; five were FD prediction model studies. Most included studies had high RoB, especially in the analysis domain. The C-statistics of the FD and IH prediction models ranged from 0.69 to 0.92, but most have yet to be externally validated. Pooled C-statistics (95% CI) were 0.80 (0.74, 0.86) and 0.81 (0.75, 0.86) for the FD (external-validation) and IH prediction model, respectively. Some predictive factors such as body mass index, smoking, emergency operation, and surgical site infection were associated with FD or IH occurrence and were included in multiple models.
conclusionsSeveral models have been developed as an aid for FD and IH prediction, mostly with modest performance and lacking independent validation. New models for specific patient groups may offer clinical utility.
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Registered trials
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.