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This systematic review aims to identify causes of increased risk for and location and mechanism of gastric injury at laparoscopy for gynecologic indications and determine optimal management.A prospectively registered systematic review (PROSPERO: CRD42021237999) was undertaken and performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Databases searched included Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Medline, Embase, Web of Science, SCOPUS, and Google Scholar from 1960 to 2021.All study types were included involving female patients of any age with gastric injury at laparoscopy for gynecologic indication.A total of 6294 articles were screened, from which 67 studies were selected for a full-text review. Twenty-eight articles were included, which contained 42 cases drawn from 7 observational studies, 4 case series, and 17 case reports. Of these, 93% (39/42) were at the time of laparoscopic entry, with Veress entry technique used in 79% of these cases (31/39). Eighteen cases reported an entry point, with 77% (14/18) occurring at the periumbilical entry point and 11% (2/18) occurring at Palmer's point. Of the cases with reported etiology for gastric distention or displacement, 64% (9/14) were owing to anesthetic cause. The most common sites of gastric injury were on the anterior stomach wall (n = 8) and the greater curvature (n = 5). Among patients with reported management (32/42), a similar proportion were managed conservatively (11) when compared with repair through laparotomy (13) or laparoscopy (8). All injuries were detected intraoperatively with no reported short-term sequelae.This systematic review of the literature reveals that gastric injury at laparoscopy for gynecologic indications is a rare complication predominantly occurring during laparoscopic entry, most commonly at the periumbilical entry point. When detected intraoperatively, conservative management, laparoscopic, or open repair in the appropriate patient has been performed with no short-term sequelae. The limitations of this review include paucity of cases, detail, and timeline of publications.

Highlights • Angiotensin converting enzyme (ACE) genotypes may influence COVID-19 mortality. • II genotype frequency was significantly associated with decreased mortality. • Association between increased mortality and DD genotype frequency was not detected., Background Angiotensin converting enzyme (ACE) genotypes are known to be associated with development of acute respiratory distress syndrome (ARDS) and resultant mortality. In the present study, we examined the association between distribution frequency of ACE genotypes and COVID-19 mortality. Methods We undertook an ecological study to examine the association between ACE genotypes and COVID-19 mortality across 25 countries to represent different geographical regions of the world. The population frequencies of ACE genotypes were drawn from previously published reports and data on COVID-19-related mortality were extracted from ‘Worldometer’. Multivariable analyses were also undertaken adjusting for age (median age), sex (percentage of females) and the number of COVID-19 tests undertaken. Associations between genotypes deletion/deletion (DD) and insertion/insertion (II) prevalence and COVID-19-related mortality (per million people per day since the first diagnosed case) were evaluated. Results The frequency of II genotype is highest in east Asian countries and lower among the European and African countries. An inverse geographical distribution frequency was noted for DD genotype. Increasing II genotype frequency was significantly associated with decreased COVID-19 mortality rates (adjusted incident rate ratio [IRR] 0.3, 95% confidence interval [CI]: 0.002–0.7, p = 0.03). However, no association was found between DD genotype frequency and COVID-19 mortality rates (adjusted IRR 4.3, 95% CI: 0.5–41.2, p = 0.2). Conclusions Distribution frequency of ACE insertion/insertion (II) genotype may have a significant influence on COVID-19 mortality. This information has potential utility for resource planning at a systemic level, as well as for clinical management.