Fascial Dehiscence and Incisional Hernia Prediction Models: A Systematic Review and Meta-analysis
Issued Date
2022-12-01
Resource Type
ISSN
03642313
eISSN
14322323
Scopus ID
2-s2.0-85138114699
Pubmed ID
36102959
Journal Title
World Journal of Surgery
Volume
46
Issue
12
Start Page
2984
End Page
2995
Rights Holder(s)
SCOPUS
Bibliographic Citation
World Journal of Surgery Vol.46 No.12 (2022) , 2984-2995
Suggested Citation
Tansawet A., Numthavaj P., Techapongsatorn T., Techapongsatorn S., Attia J., McKay G., Thakkinstian A. Fascial Dehiscence and Incisional Hernia Prediction Models: A Systematic Review and Meta-analysis. World Journal of Surgery Vol.46 No.12 (2022) , 2984-2995. 2995. doi:10.1007/s00268-022-06715-6 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/87177
Title
Fascial Dehiscence and Incisional Hernia Prediction Models: A Systematic Review and Meta-analysis
Other Contributor(s)
Abstract
Background: Fascial 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. Methods: Prediction 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)]. Results: Twelve 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. Conclusions: Several 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.
