Many observational studies have reported correlations between postoperative complications and prognosis after radical gastrectomy but the results are controversial. This meta-analysis was performed to investigate whether there is a correlation between postoperative complications and prognosis after radical gastrectomy. Literature searches were performed in PubMed, EMBASE, and the Cochrane Library. Studies that investigated the correlations between any postoperative complications and prognosis after radical gastrectomy were included. The pooled hazard ratio (HR) with 95% confidence interval (CI) for postoperative complications regarding overall survival (OS) or recurrence-free survival (RFS) was calculated by using RevMan 5.3.5. Subgroup analyses were performed within pathological stages I, II, and III. Sixteen retrospective studies comprising 12,065 patients were included. The pooled HR (95% CI) for complications regarding OS was 1.79 (1.39, 2.30) and was 1.40 (1.06, 1.84) after excluding in-hospital mortality; the pooled HR (95% CI) for complications regarding RFS was 1.28 (1.10, 1.49). The pooled HR (95% CI) for infectious complications and leakage regarding OS was 1.86 (1.22, 2.83) and 2.02 (1.02, 4.00), respectively. The pooled HR (95% CI) for any reported postoperative complications regarding OS for stage I, II, and III diseases was 2.39 (0.77, 7.46), 4.35 (2.58, 7.35), and 2.84 (1.77, 4.56), respectively. Postoperative complications correlate with poor prognosis after radical gastrectomy. Such correlations are found in stage II and III gastric cancer patients but remain to be determined in stage I gastric cancer patients.

It is generally accepted that there is a correlation between obesity and poor outcome in acute pancreatitis (AP); however, the relationship between overweight and the prognosis of AP is unknown. The aim of this study was to determine the correlation between overweight and the prognosis of AP. MEDLINE and PubMed were searched using the terms 'acute pancreatitis', 'obesity', 'overweight', and 'body mass index' ('BMI'). All prospective clinical studies correlating BMI and AP were included. Obesity and overweight were defined as BMI ≥30 and from 25 to 30, respectively. A meta-analysis was performed with the endpoints severe AP (SAP), local complications, systemic complications, and mortality. Eight studies including 939 patients were found. The incidence rates of SAP (OR 2.48, 95% CI 1.34-4.60), local complications (OR 2.58, 95% CI 1.20-5.57), and mortality (OR 3.81, 95% CI 1.22-11.83) were increased in overweight patients with AP. No difference was detected in the incidence of systemic complications between the normal-weight and overweight patients (OR 1.62, 95% CI 0.76-3.43). In addition, the correlation between obesity and poor prognosis was again confirmed. Overweight is an additional prognostic factor of severity, local complications, and mortality in AP. and IAP.

Background: Computer-aided diagnosis (CAD) systems are being applied to the ultrasonographic diagnosis of malignant thyroid nodules, but it remains controversial whether the systems add any accuracy for radiologists. Objective: To determine the accuracy of CAD systems in diagnosing malignant thyroid nodules. Methods: PubMed, EMBASE, and the Cochrane Library were searched for studies on the diagnostic performance of CAD systems. The diagnostic performance was assessed by pooled sensitivity and specificity, and their accuracy was compared with that of radiologists. The present systematic review was registered in PROSPERO (CRD42019134460). Results: Nineteen studies with 4,781 thyroid nodules were included. Both the classic machine learning- and the deep learning-based CAD system had good performance in diagnosing malignant thyroid nodules (classic machine learning: sensitivity 0.86 [95% CI 0.79–0.92], specificity 0.85 [95% CI 0.77–0.91], diagnostic odds ratio (DOR) 37.41 [95% CI 24.91–56.20]; deep learning: sensitivity 0.89 [95% CI 0.81–0.93], specificity 0.84 [95% CI 0.75–0.90], DOR 40.87 [95% CI 18.13–92.13]). The diagnostic performance of the deep learning-based CAD system was comparable to that of the radiologists (sensitivity 0.87 [95% CI 0.78–0.93] vs. 0.87 [95% CI 0.85–0.89], specificity 0.85 [95% CI 0.76–0.91] vs. 0.87 [95% CI 0.81–0.91], DOR 40.12 [95% CI 15.58–103.33] vs. DOR 44.88 [95% CI 30.71–65.57]). Conclusions: The CAD systems demonstrated good performance in diagnosing malignant thyroid nodules. However, experienced radiologists may still have an advantage over CAD systems during real-time diagnosis.

The incidence of tumors located in the upper third of the stomach is increasing, and the use of radical proximal gastrectomy is becoming prevalent. After a proximal gastrectomy, various reconstructions are performed, but surgical outcomes are controversial. This study was performed to review clinical outcomes of reconstructions after proximal gastrectomy. Inclusion criteria focused on postoperative complications of patients who underwent a proximal gastrectomy for gastric cancer. Exclusion criteria were case reports; targeted data not investigated; a duplicate study reported in a larger cohort; esophageal sphincter preservation surgery; near-total gastrectomy; recurrence of tumor; and combined organ resection. In total, 22 retrospective and 2 prospective studies were included. The studies investigated surgical outcomes of esophagogastrostomy (n = 10), jejunal interposition (n = 12), jejunal pouch interposition (n = 7), double tract jejunal interposition (n = 1), and tube-like stomach esophagogastrostomy (n = 5). Pooled incidences of reflux esophagitis or reflux symptoms for these procedures were 28.6%, 4.5%, 12.9%, 4.7%, and 10.7%, respectively. Incidences of postoperative complications were 9.5%, 18.1%, 7.0%, 11.6%, and 9.3%, respectively. Despite increasing operation complexity, which perhaps increased the risk of other postoperative complications, currently used reconstructions present excellent anti-reflux efficacy. However, the optimal reconstruction method remains to be determined.