Case Repository Research Articles

Scalability and Replicability Analysis in Smart Grid Demonstration Projects: Lessons Learned and Future Needs

This paper compares various approaches to the scalability and replicability analysis (SRA) of smart grid pilot projects, highlighting the need for a comprehensive SRA methodology as called for by the European Commission and International Energy Agency. This study addresses the need for a standardized SRA methodology and explores how three EU-funded projects—Platone, EUniversal, and IElectrix—adapted the general guidelines developed by the BRIDGE initiative. These guidelines provide recommendations for developing a comprehensive large-scale deployment analysis. The results show that while the guidelines are usable and flexible, project-specific conditions and data availability limitations—particularly in regulatory and technical analysis—can pose challenges. Some key recommendations to overcome these and facilitate future applications are identified. These include defining SRA methodologies and securing data-sharing agreements early. The lack of standardized approaches for presenting SRA results hampers cross-project comparison. Thus, creating an open-use case repository and updating the BRIDGE guidelines with more detailed examples, benchmarks, and reference networks is recommended. Additionally, linking SRA with cost–benefit analysis (CBA) is suggested in order to evaluate the commercial viability of smart grid solutions. The paper concludes that while the BRIDGE guidelines have proven to be fit for purpose, further developments are needed to facilitate their practical application in real-world projects.

A Detailed Phenomenology of Poltergeist Events

The objective of this paper is to propose a reference point in the phenomenology of poltergeists either for people who want to know more about these phenomena or for researchers looking for cases and sources associated with some particular phenomenon. In parallel, an ongoing work is conducted aimed at building a global case repository of poltergeist cases with their phenomenological characteristics and their sources, which will be available soon at www.macropk.org. A historical view of the 50+ qualitative and quantitative studies of the poltergeist phenomenon is presented along with the different authors/researchers and the publications associated. The different types of phenomena observed are studied from four angles: the physical impacts on the environment, the interactions with people, other features such as duration, focus effect, and contagion, and how the phenomena ended. Each type of event is illustrated through different cases extracted from our case repository (about 1250), often with a short extract from (one of) the sources describing some key characteristics. A discussion about the validity of these data is then developed, looking in particular at testimonials, fraud detection, legal impacts, and the similarity of description of unconnected people. These elements tend to give a strong plausibility to the diverse phenomena observed, even the more “bizarre” ones. Considering all these cases and the details associated with them could help to build a more global picture of the phenomenon. This could provide more ideas based on facts to develop current and new hypotheses, as well as new psychophysical models, in order to make progress in comprehending the phenomenon. A list of the 105 cases used in the description of the phenomenology is provided along with their sources and their distribution across historical periods and geographical areas.

The challenges of open data for future epidemic preparedness: The experience of the 2022 Ebolavirus outbreak in Uganda.

On 20 September 2022, the Ministry of Health in Uganda, together with the World Health Organization-Regional Office for Africa (WHO AFRO) confirmed an outbreak of EVD due to Sudan ebolavirus in Mubende District, after one fatal case was confirmed. Real-time information are needed to provide crucial information to understand transmissibility, risk of geographical spread, routes of transmission, risk factors of infection, and provide the basis for epidemiological modelling that can inform response and containment planning to reduce the burden of disease. We made an effort to build a centralized repository of the Ebola virus cases from verified sources, providing information on dates of symptom onset, locations (aggregated to the district level), and when available, the gender and status of hospitals, reporting bed capacity and isolation unit occupancy rate according to the severity status of the patient. The proposed data repository provides researchers and policymakers timely, complete, and easy-accessible data to monitor the most recent trends of the Ebola outbreak in Ugandan districts with informative graphical outputs. This favors a rapid global response to the disease, enabling governments to prioritize and adjust their decisions quickly and effectively in response to the rapidly evolving emergency, with a solid data basis.

Methodology for development of an expert system to derive knowledge from existing nature-based solutions experiences

Learning from past experiences is essential for the adoption of Nature-Based Solutions (NBS). There is a growing number of knowledge repositories sharing the experience of NBS projects implemented worldwide. These repositories provide access to a large amount of information, however, acquiring knowledge from them remains a challenge. This paper outlines the technical details of the NBS Case-Based System (NBS-CBS), an expert system that facilitates knowledge acquisition from an NBS case repository. The NBS-CBS is a hybrid system integrating a black-box Artificial Neural Network (ANN) with a white-box Case-Based Reasoning model. The system involves:•a repository that stores the information of past NBS projects, and an input collection component, guiding the collection and encoding of the user's inputs;•a classifier that predicts solutions (i.e., generates a hypothesis), based on user input (target case), drawing on a pre-trained ANN model to guide the case retrieval, and a case retrieval engine that identifies cases similar to the target case;•a case adaption and retainment process in which the user assesses the provided recommendations and retains the solved problem as a new case in the repository.

The Enrica Lexie Incident 판정과 함의

On 21 May 2020, the Arbitral Tribunal under Annex VII to the United Nations Convention on the Law of the Sea in respect of the Enrica Lexie Incident adopted its Award. It was notified to the Parties on 9 June 2020. On 2 July 2020, the Arbitral Tribunal published the operative part(dispositif) of the Award on the PCA Case Repository.
 According to Italy, the dispute arises from an incident that occurred on 15 February 2012 approximately 20.5 nautical miles off the coast of India involving the “Enrica Lexie”, an oil tanker flying the Italian flag, and India’s subsequent exercise of criminal jurisdiction over the incident and over two Italian marines from the Italian Navy. According to India, the incident in question concerns the killing of two Indian fishermen on board an Indian vessel named the “St. Antony”, and India’s subsequent exercise of jurisdiction. It is alleged that the two Italian marines aboard the “Enrica Lexie” killed the fishermen.
 Author would like to explaine that there is a sligltly different noteworthy point on this Case. The point is that the Arbitral Tribunal placed much emphasis on the statements of the individuals involved in the case, when the Arbitral Tribunal deal with the fact findinding and jurisprudence. This paper aims to focus on how the Arbitral Tribunal handles the testimony of the individuals involved in this case in the process of deleberating the case of Enrica Lexie Incident.

Assigning the Test Case Priorities Using Butterfly Optimization Algorithm for Software Test

Software maintenance is the longest process of SDLC. It continues with the distribution of applications till the software is not in operation. Software modifications are an unavoidable aspect of the life cycle of software growth. The optimization of software testing is still an important task, as the average percentage of detected failures (APFD), the average percentage of Branch Coverage detection (APBCD), and output of time are unsatisfactory in priority test cases. We also suggested in this document to give priority to test cases using Butterfly Algorithms optimally. We use Butterfly Algorithm with a fitness function specified with a similitude-distance model to optimise the ordering of test cases. Three testing suites selected from the software testing case repository experimented with within 3 benchmarking programmes. Our Test Case Prioritization technique (TCP) was seen better than current works with the Butterfly APFD Algorithm as the output matrix. Overall APFD results show Butterfly Algorithm being a successful competitor in TCP applications.

IMG-11. A COMPUTERISED CLINICAL DECISION SUPPORT SYSTEM FOR DIAGNOSING CHILDREN’S BRAIN TUMOURS USING FUNCTIONAL IMAGING AND MACHINE LEARNING

Abstract INTRODUCTION: Magnetic resonance imaging is a key investigation in the diagnosis of childhood solid tumours. Advanced techniques such as diffusion weighted imaging (DWI), magnetic resonance spectroscopy (MRS) and perfusion imaging probe the underlying cellular, chemical and vascular nature of the disease. Coupled with machine learning these scanning methods show improvement in diagnostic accuracy compared with conventional imaging. Advanced image analysis is not routinely available in hospitals. We present a clinical decision support system (CDSS) developed for advanced MR analysis and interpretation. METHOD: The CDSS was developed in house. The Children’s Cancer and Leukaemia Group Functional Imaging Group (CCLGFIG) Database, a national resource, was used to provide a repository of cases together with their advanced imaging and machine learning diagnostic classifiers. A new case is displayed alongside cases in the repository with known diagnoses, including summary statistics for relevant diagnostic categories. The CDSS was made available to radiologists, in their clinical environment for technical and clinical evaluation. Structured interviews were undertaken. The CDSS was developed as a computer app for multi-centre distribution. RESULTS: 436 MRS, 240 DWI and 85 perfusion cases were available for building repositories. Machine learning classifiers showed diagnostic accuracies for the major childhood brain tumour types of 85-95%. Comparison of MRS with a data repository was found to improve non-invasive diagnosis. Results from the CDSS can be uploaded to the CCLGFIG to support multicentre research. Positive feedback on the CDSS from clinicians included: ready access to advanced analysis; simple and efficient integration into clinical workflow; and assisted interpretation of advanced analysis. DISCUSSION: Advanced MR analysis techniques provide improved non-invasive diagnostic accuracy but are difficult to implement on clinical systems due to technical, infrastructure and training limitations. CONCLUSION: We have successfully released a CDSS for paediatric cancer within the hospital environment and assessed its suitability for clinical use.

Strategies by National Health Systems in the Northern Hemisphere during First Wave of COVID-19: Evaluation and the Way Forward

This paper aims to assess the effectiveness of strategies adopted by national health systems across the globe in different ‘geographical regions’ in the Northern Hemisphere to combat COVID-19 pandemic. Data is included since the first case was reported in November 2019 till mid-April 2020. Sources of information are COVID-19 case repositories, official country websites, university research teams’ perspectives, official briefings, and available published research articles to date. We triangulated all data to formulate a comprehensive illustration of COVID-19 situation in each country included. It has been found that the 2002-2004 SARS outbreak experienced in China, Taiwan, and South Korea saw better strategies adopted by leadership to combat COVID-19 pandemic containment as compared to Iran, Italy, and the United States of America. Saudi Arabia has so far been successful in the implementation of containment strategies as there is no large outbreak in major cities or confined areas as prisons. The situation has yet to unfold in India and Pakistan, which exhibit their own weaknesses in policy formulation or implementation in response to health crises. This review provides conclusive evidence that timely travel bans, early detection of COVID-19 spread through exhaustive and reliable testing, and the establishment of a central, fully authorized body to foresee health trends and implement appropriate containment measures are essential to contain the spread of the virus.

Co-construction and sharing of a Chinese medical case repository helps medical workers strengthen capacity for clinical practices

The advent of the era of big data is bound to promote the development of databases. How to bring clinicians’ focus back to clinical practice and enhance the clinical capabilities of general physicians at the primary level is a question that every member of the academic publishing profession needs to consider. If data and knowledge can be shared openly, research and medical management will develop at an accelerated pace. Given the global consensus on open science, the co-construction and sharing of a Chinese medical case repository will surely improve the practical capability of clinicians.

What is next for cases in teaching and learning evaluation? A call to action

AbstractWe take this final article to reflect on the “case” made for the use of cases in teaching and learning in evaluation. We provide an overview of what has been learned about teaching and learning with cases through this volume and discuss what counts as good case teaching and learning based on the other articles. This article identifies the critical importance of context in evaluation practice and shares our belief that there is no way we can adequately prepare future evaluation practitioners for their work without using cases in teaching and learning evaluation. We share the future efforts of the Case Collaborative, including the development and dissemination of a case repository for instructors of evaluation. We end by reflecting on how we can get new evaluators to think like professional, seasoned practitioners and providing a call to action to our readers.

Conducting virtual geriatric medicine final professional examination during COVID-19 pandemic

Medical education is witnessing severe disruption worldwide due to the ongoing COVID-19 pandemic. But at the same time, it is important to provide continuity of teaching and timely certification assessment. Overcoming the obstacles to conduct the professional examination due to SARS-CoV-2 spread, we conducted the MD Geriatric medicine final professional examination in a hybrid virtual format. In addition to creating case repository for single system cases, we included geriatric cases with multiple combination of geriatric syndromes. The examinees were assessed by the external examiners virtually through a video conferencing platform. The end results were well appreciated by all key stake holders. The concerns, logistics and experience of conducting the MD Geriatric medicine examination in a virtual format are summarized here.

Emerging technologies in Indian mining industry: an exploratory empirical investigation regarding the adoption challenges

PurposeEmerging technologies have been transforming most industries. A wide range of emerging technologies such as blockchain, internet of things (IoT), artificial intelligence (AI), machine learning (ML), robotics and many others have changed the way in which firm value chain activities or processes were executed traditionally. The mining industry has also witnessed the introduction of these emerging technologies in various processes from the exploration stage to the final processing of ores. The purpose of this paper is to understand the pace of adoption of emerging technologies in the Indian mining industry and identify the challenges that managers confront while adopting emerging technologies.Design/methodology/approachThe authors undertook qualitative research. Data collection was done in two stages. Secondary research was conducted to arrive at a repository of use cases of the adoption of emerging technologies in the global mining industry. Primary data collection was also done. The insights on emerging technology adoption and challenges faced in the Indian mining industry were captured by in-depth interviewing of subject matter experts. The authors interviewed 21 mining subject matter experts with a semi-structured open-ended questionnaire. The responses were content analyzed by thematic content analysis. Technological-organizational-environmental (TOE) and diffusion of innovation (DOI) frameworks were applied to segregate different factors affecting the adoption of emerging technologies in the Indian mining industry.FindingsEmerging technologies such as blockchain, IoT, AI, ML, robotics has been applied across various mining engineering value chain activities such as in drilling, blasting, excavation and ore hauling. However, emerging technologies adoption was hindered because of a lack of managerial awareness, cultural inertia, substantive upfront investments and the nature of intangible benefits in the short run.Research limitations/implicationsThe research applied technology adoption frameworks in the mining industry. The authors used TOE and DOI frameworks to understand the challenges faced by Indian mining firms. The research findings, thus added to the conversation of TOE and DOI frameworks in the context of the Indian mining industry.Practical implicationsThe research finding would help mining firm managers to anticipate the challenges with respect to technology adoption. This would allow mining executives to create a proper technology adoption plan and intervene proactively. The research would also provide information about the steps taken by competing firms with respect to emerging technologies adoption. The research would help managers to decide technology implementation steps in drilling, blasting, excavation and ore hauling to be undertaken for successful adoption of emerging technologies. Technology firms could gain insights into the issues faced by mining firms in adopting emerging technologies. This research would help managers to influence organizational technology policy and endorse the addition of pro-technology policies in mining activities. Policymakers involved in the mining sector could also incorporate industry-level policy decisions so as to facilitate the adoption of emerging technologies among mining firms and remove the barriers to the adoption of emerging technologies. This would create an opportunity for technology providers to redesign product offerings, which could be a good fit for Indian mining firms.Originality/valueIndian mining industry contributed significantly to the Indian economy. Despite this, limited focus has been put regarding the adoption of emerging technologies in the mining industry. Mining managers did not have any framework to understand the challenges faced in the adoption of technologies across the mining value chain that is in drilling, blasting, excavation and ore hauling. This study focused on identifying those challenges through the use of technology adoption frameworks. This research was one of the first studies to gain insights on emerging technologies adoption in the context of the mining industry through the theoretical lens of TOE and DOI frameworks.

A similarity-based approach for the variant design of core-pulling mechanism in injection mold design

Core-pulling mechanism plays a vital role in producing plastic products with complex shapes. However, the design of core-pulling mechanism is still excessively depended on experience. As a result, low intelligent input often leads to high costs and long lead-time. In this paper, we propose a similarity-based approach for the variant design of core-pulling mechanism in injection mold design. An assemble model supporting variant design is established as the foundation of the case repository of core-pulling mechanism. A hierarchical assessment algorithm, which calculate the synthetic similarity of four characteristic parameters, viz., core-pulling type, core-pulling force, core-pulling distance, and shape description, is proposed to evaluate the similarity among undercut features. On the basis of the retrieved case with the highest similarity to the undercut feature of new plastic product, geometric model modification is performed by fine-tuning and head feature generation algorithm, and assemble tree modification is finished by the structural descriptions for assemble frame and assemble information of parts. Finally, case study is provided to validate the feasibility and effectiveness of the proposed approach.

Synoptic Climatology of Lake-Effect Snow Events off the Western Great Lakes

As the mesoscale dynamics of lake-effect snow (LES) are becoming better understood, recent and ongoing research is beginning to focus on the large-scale environments conducive to LES. Synoptic-scale composites are constructed for Lake Michigan and Lake Superior LES events by employing an LES case repository for these regions within the U.S. North American Regional Reanalysis (NARR) data for each LES event were used to construct synoptic maps of dominant LES patterns for each lake. These maps were formulated using a previously implemented composite technique that blends principal component analysis with a k-means cluster analysis. A sample case from each resulting cluster was also selected and simulated using the Advanced Weather Research and Forecast model to obtain an example mesoscale depiction of the LES environment. The study revealed four synoptic setups for Lake Michigan and three for Lake Superior whose primary differences were discrepancies in a surface pressure dipole structure previously linked with Great Lakes LES. These subtle synoptic-scale differences suggested that while overall LES impacts were driven more by the mesoscale conditions for these lakes, synoptic-scale conditions still provided important insight into the character of LES forcing mechanisms, primarily the steering flow and air–lake thermodynamics.

Systematic review on the clinical presentation and management of the COVID-19 associated multisystem inflammatory syndrome in children (MIS-C)

<abstract> Firstly, we collated the vast repository of MIS-C cases and presented them in a simplified, condensed, and comprehensive format. Secondly, we explored the clinical presentation, and efficacy of the management options. Additionally, we briefly discussed the pathophysiology and addressed the variance in the jargon and criteria relating to this condition. <sec> <title>Methods</title> A systematic literature review was conducted on the 17th of October 2020 in accordance with PRISMA (2015) guidelines. The search terms: ‘MIS-C’, ‘Kawasaki-like Disease’, ‘PIMS-TS’, and ‘COVID-19’ were queried on Medline and Embase databases. Publications that fulfilled the inclusion criteria were included and were assessed for parameters pertaining to the clinical course and management. </sec><sec> <title>Results</title> From December 2019 to October 2020, 131 publications were identified. Of these, 56 publications (n = 646 patients) fit the inclusion criteria. Median age was 10 years (range: 0.5–17 years), 52.2% (n = 337/646) were male, and 33.5% (n = 128/382) were of African ethnicity. SARS-CoV-2 reverse transcriptase PCR and serology were positive in 42% (n = 142/426), and 85.3% (n = 300/352) of cases respectively. Presenting complaint(s) were predominately gastrointestinal: 77.6% (n = 436/562) generalized abdominal pain, 76.4% (n = 386/505) vomiting, and 63.2% (n = 203/321) diarrhea. Hypotensive shock was also commonly observed at admission. Additionally, laboratory data revealed elevated neutrophils and inflammatory markers. Echocardiogram findings indicated reduced left ventricular ejection fraction and myocarditis in 22.6% (n = 85/376) and 22.3% (n = 84/376) of cases, respectively. Immunoglobulins and intravenous steroids were predominantly used in 76% (n = 433/571) and 51% (n = 317/618) of cases, respectively. Majority of the patients (97%, n = 418/431) were discharged home. A combination treatment of tocilizumab and IVIG had a mean length of stay of 7 ± 3 days and 95.5% (n = 21/22) discharge rate with low complications in comparison to either of the treatments alone. </sec><sec> <title>Conclusion</title> MIC-S syndrome is a pediatric hyperinflammatory condition that has an association with COVID-19 background exposure. MIS-C has a heterogeneous multisystem presentation that can be associated with life threatening cardiac complications. There is a need to further explore its long-term morbidity. </sec></abstract>

SingHealth Radiology Archives pictorial essay Part 2: gastroenterology, musculoskeletal, and obstetrics and gynaecology cases.

The Singapore Health Services cluster (SingHealth) radiology film archives are a valuable repository of local radiological cases dating back to the 1950s. Some of the cases in the archives are of historical medical interest, i.e. cerebral angiography in the workup of patients with hemiplegia. Other cases are of historical social interest, being conditions seen during earlier stages of Singapore's development, i.e. bound feet. The archives form a unique portal into the development of local radiology as well as the national development of Singapore. A selection from the archives is published in commemoration of the International Day of Radiology in 2020, as well as the 200th anniversary of the Singapore General Hospital in 2021. This pictorial essay comprises gastroenterology, musculoskeletal and obstetrics and gynaecology cases from the archives.

SingHealth Radiology Archives pictorial essay Part 1: cardiovascular, respiratory and neurological cases.

The Singapore Health Services cluster (SingHealth) radiology film archives are a valuable repository of local radiological cases dating back to the 1950s. Some of the cases in the archives are of historical medical interest, i.e. cerebral angiography in the workup of patients with hemiplegia. Other cases are of historical social interest, being conditions seen during earlier stages of Singapore's development, i.e. bound feet. The archives form a unique portal into the development of local radiology as well as the national development of Singapore. A selection from the archives is published in 2020 in commemoration of the 20th anniversary of the formation of SingHealth, the 55th National Day of Singapore, and the 125th anniversary of the International Day of Radiology. This pictorial essay comprises cardiovascular, respiratory and neurological cases from the archives.

Pharmacotherapy virtual attachment during COVID-19 pandemic: Use of online experiential assessment in a Malaysian pharmacy school

&#x0D; &#x0D; &#x0D; &#x0D; This case study aims to report the efforts made by International Islamic University Malaysia to pursue the experiential pharmacotherapy attachment for the final-year of pharmacy students via online mediums in the light of the COVID-19 restrictions on face-to-face clinical experiential learning. A four-week virtual pharmacotherapy experiential attachments were redesigned and conducted via an online platform (Google Meet). Students were required to have a two-hour virtual discussion and consultation session with their preceptors twice a week throughout the attachment period. In each week, students were provided with real-life clinical cases that were chosen by their preceptors from the Department of Pharmacy Practice’s clinical case repository. Students were assessed via clinical case reports, virtual seminar presentations, weekly virtual discussions with preceptors, and virtual objective structured clinical examinations. All the virtual sessions were conducted on a synchronous basis to assure students’ active participation. Alongside this, a revised online final assessment was also designed.&#x0D; &#x0D; &#x0D; &#x0D;

LO13: Development of a national, standardized simulation case template

Innovation Concept: A major barrier to the development of a national simulation case repository and multi-site simulation research is the lack of a standardized national case template. This issue was recently identified as a priority research topic for Canadian simulation based education (SBE) research in emergency medicine (EM). We partnered with the EM Simulation Education Researchers Collaborative (EM-SERC) to develop a national simulation template. Methods: The EM Sim Cases template was chosen as a starting point for the consensus process. We generated feedback on the template using a three-phase modified nominal group technique. Members of the EM-SERC mailing list were consulted, which included 20 EM simulation educators from every Canadian medical school except Northern Ontario School of Medicine and Memorial University. When comments conflicted, the sentiment with more comments in favour was incorporated. Curriculum, Tool or Material: In phase one we sought free-text feedback on the EM Sim Cases template via email. We received 65 comments from 11 respondents. An inductive thematic analysis identified four major themes (formatting, objectives, debriefing, and assessment tools). In phase two we sought free-text feedback on the revised template via email. A second thematic analysis on 40 comments from 12 respondents identified three broad themes (formatting, objectives, and debriefing). In phase three we sought feedback on the penultimate template via focus groups with simulation educators and technologists at multiple Canadian universities. This phase generated 98 specific comments which were grouped according to the section of the template being discussed and used to develop the final template (posted on emsimcases.com). Conclusion: We describe a national consensus-building process which resulted in a simulation case template endorsed by simulation educators from across Canada. This template has the potential to: 1. Reduce the replication of effort across sites by facilitating the sharing of simulation cases. 2. Enable national collaboration on the development of both simulation cases and curricula. 3. Facilitate multi centre simulation-based research by removing confounders related to the local adoption of an unfamiliar case template. This could improve the rigour and validity of these studies by reducing inter-site variability. 4. Increase the validity of any simulation scenarios developed for use in national high-stakes assessment.

Simultaneous Ventral Hernia Repair and Panniculectomy: A Systematic Review and Meta-Analysis of Outcomes.

Simultaneous ventral hernia repair and panniculectomy (SVHRP) is a procedure that is more commonly being offered to patients with excess skin and subcutaneous tissue in need of a ventral hernia repair; however, there are concerns about surgical-site complications and uncertainty regarding the durability of repair. SVHRP outcomes vary within the literature. This study assessed the durability, complication profile, and safety of SVHRP through a large data-driven repository of SVHRP cases.360 METHODS:: The current SVHRP literature was queried using the MEDLINE, PubMed, and Cochrane databases. Predefined selection criteria resulted in 76 relevant titles yielding 16 articles for analysis. Meta-analysis was used to analyze primary outcomes, identified as surgical-site occurrence and hernia recurrence. Secondary outcomes included review of techniques used and systemic complications, which were analyzed with pooled weighted mean analysis from the collected data. There were 917 patients who underwent an SVHRP (mean age, 52.2 ± 7.0 years; mean body mass index, 36.1 ± 5.8 kg/m; mean pannus weight, 3.2 kg). The mean surgical-site occurrence rate was 27.9 percent (95 percent CI, 15.6 to 40.2 percent; I = 70.9 percent) and the mean hernia recurrence rate was 4.9 percent (95 percent CI, 2.4 to 7.3 percent; I = 70.1 percent). Mean follow-up was 17.8 ± 7.7 months. The most common complications were superficial surgical-site infection (15.8 percent) and seroma formation (11.2 percent). Systemic complications were less common (7.8 percent), with a thromboembolic event rate of 1.2 percent. The overall mortality rate was 0.4 percent. SVHRP is associated with a high rate of surgical-site occurrence, but surgical-site infection seems to be less prominent than previously anticipated. The low hernia recurrence rate and the safety of this procedure support its current implementation in abdominal wall reconstruction.