The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study.

BACKGROUND: Artificial intelligence (AI) for gastric cancer diagnosis has been discussed in recent years. The role of AI in early gastric cancer is more important than in advanced gastric cancer since early gastric cancer is not easily identified in clinical practice. However, to our knowledge, past syntheses appear to have limited focus on the populations with early gastric cancer. OBJECTIVE: The purpose of this study is to evaluate the diagnostic accuracy of AI in the diagnosis of early gastric cancer from endoscopic images. METHODS: We conducted a systematic review from database inception to June 2020 of all studies assessing the performance of AI in the endoscopic diagnosis of early gastric cancer. Studies not concerning early gastric cancer were excluded. The outcome of interest was the diagnostic accuracy (comprising sensitivity, specificity, and accuracy) of AI systems. Study quality was assessed on the basis of the revised Quality Assessment of Diagnostic Accuracy Studies. Meta-analysis was primarily based on a bivariate mixed-effects model. A summary receiver operating curve and a hierarchical summary receiver operating curve were constructed, and the area under the curve was computed. RESULTS: We analyzed 12 retrospective case control studies (n=11,685) in which AI identified early gastric cancer from endoscopic images. The pooled sensitivity and specificity of AI for early gastric cancer diagnosis were 0.86 (95% CI 0.75-0.92) and 0.90 (95% CI 0.84-0.93), respectively. The area under the curve was 0.94. Sensitivity analysis of studies using support vector machines and narrow-band imaging demonstrated more consistent results. CONCLUSIONS: For early gastric cancer, to our knowledge, this was the first synthesis study on the use of endoscopic images in AI in diagnosis. AI may support the diagnosis of early gastric cancer. However, the collocation of imaging techniques and optimal algorithms remain unclear. Competing models of AI for the diagnosis of early gastric cancer are worthy of future investigation. TRIAL REGISTRATION: PROSPERO CRD42020193223; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=193223.

Combining the AD8 and MMSE for community-based dementia screening.

BACKGROUND: This study aimed to determine whether a cognitive test the Mini-Mental State Examination (MMSE) and the Ascertain Dementia 8 (AD8) instrument applied in combination could improve the accuracy of dementia detection in a community setting. METHODS: Study participants were recruited from a community-based integrated screening program in Tainan, Taiwan. Participants completed the AD8 and were administered the Chinese version of the MMSE by psychologists. In addition, the presence of dementia was determined by neurologists based on the 2011 National Institute on Aging-Alzheimer's Association guidelines. Logistic regression analysis determined whether the combination of these two tests provided any additional information for dementia detection than either test alone. Receiver operating characteristic (ROC) curve analyses were conducted to explore the performances of different screening modalities in detecting dementia. RESULT: In total, 282 participants with an average age of 69.31 ± 10.27 years were enrolled. The prevalence of dementia among participants aged ≥65 years was 9.29 %. The sensitivity and specificity of the AD8 applied alone for detecting dementia were 64.71 % and 87.89 %, respectively, and of the MMSE applied alone, after adjusting for education level, were 41.18 % and 84.50 %, respectively. Using a cutoff score of 21 for the MMSE resulted in sensitivity of 77.78 % and specificity of 73.58 %. The AD8 and MMSE when combined in parallel yielded 88.89 % sensitivity and 70.16 % specificity. The serial use of the AD8 followed by the MMSE yielded 50 % sensitivity and 93.02 % specificity. Except for when an MMSE cutoff value of 26 was applied, the sensitivity of all examined modalities was poor and specificity was moderate for detecting mild cognitive impairment. ROC curve analysis revealed that the parallel application of the MMSE and AD8 (area under the ROC curve [AUC]: 82.3 % [75.1 %-89.4 %]) resulted in better dementia detection accuracy than the AD8 alone (AUC: 73.3 % [60.7 %-85.9 %]), the MMSE alone (AUC: 77.4 % [67.6 %-87.3 %]), or serial test administration (AUC: 67.6 % [53.4 %-81.8 %]). CONCLUSION: This study successfully demonstrated that the MMSE and AD8 combination for dementia screening could improve detection accuracy in a community setting.

Oral Dexmedetomidine Achieves Superior Effects in Mitigating Emergence Agitation and Demonstrates Comparable Sedative Effects to Oral Midazolam for Pediatric Premedication: A Systematic Review and Meta-Analysis of Randomized Controlled Studies.

Background: Oral midazolam is the most commonly used sedative premedication agent in pediatric patients. While effective, oral midazolam cannot reduce the incidence of emergence agitation. Oral dexmedetomidine may be effective in providing satisfactory sedation and reduce the incidence of emergence agitation, although the results of different randomized controlled trials are conflicting. Methods: This study enrolled randomized controlled trials (RCTs) examining premedication with oral dexmedetomidine versus oral midazolam in pediatric patients undergoing general anesthesia. PubMed, the Cochrane Library, Embase, and the Web of Science database were searched from their inception until June 2023. The outcomes were the incidence of satisfactory preoperative sedation, satisfactory sedation during separation from parents, satisfactory sedation during anesthesia induction using an anesthesia mask, and the incidence of emergence agitation. Results: A total of 9 RCTs comprising 885 patients were analyzed. Our data revealed comparable effects of dexmedetomidine and midazolam with respect to satisfactory preoperative sedation and a satisfactory incidence of sedation during parental separation and mask acceptance before anesthesia induction. Notably, our data revealed that the rate of emergence agitation was significantly lower in pediatric patients receiving dexmedetomidine (n = 162) than in those receiving midazolam (n = 159) (odds ratio = 0.16; 95% confidence interval: 0.06 to 0.44; p < 0.001; I2 = 35%). Conclusions: Data from this meta-analysis revealed comparable effects for premedication with oral dexmedetomidine or oral midazolam with respect to satisfactory sedation; furthermore, premedication with oral dexmedetomidine more effectively mitigated emergence agitation in pediatric patients receiving general anesthesia compared with oral midazolam.

The impact of active community-based survey on dementia detection ratio in Taiwan: A cohort study with historical control.

Background: Although early dementia detection is crucial to optimize the treatment outcomes and the management of associated symptoms, the published literature is scarce regarding the effectiveness of active screening protocols in enhancing dementia awareness and increasing the rate of early detection. The present study compared the detection ratio of an active community-based survey for dementia detection with the detection ratio of passive screening during routine clinical practice. Data for passive screening were obtained from the National Health Insurance (NHI) system, which was prospectively collected during the period from 2000 to 2003. Design: A population-based cohort study with historical control. Setting: Taiwan. Participants: A total of 183 participants aged 65 years or older were involved in a community-based survey. Data from 1,921,308 subjects aged 65 years or older were retrieved from the NHI system. Measurements: An adjusted detection ratio, defined as a ratio of dementia prevalence to incidence was used. Results: The results showed that the dementia prevalence during the 2000-2003 period was 2.91% in the elderly population, compared with a prevalence of 6.59% when the active survey was conducted. The incidence of dementia in the active survey cohort was 1.83%. Overall, the dementia detection ratio was higher using active surveys [4.23, 95% confidence interval (CI): 2.68-6.69] than using passive detection (1.45, 95% CI: 1.43-1.47) for those aged 65-79 years. Similar findings were observed for those aged 80 years and older. Conclusion: The implementation of an active community-based survey led to a 3-fold increase in the detection rate of early dementia detection compared to passive screening during routine practice.

Focal idiopathic hypertrophic pachymeningoencephalitis.

Cranial pachymeningitis is typically a diffuse granulomatous disease that involves the dura mater extensively without intra-axial involvement. We report a rare case of focal idiopathic hypertrophic pachymeningoencephalitis (IHP) focally affecting the right parietal dura mater and adjacent parietal lobule. A 43-year-old male suffered from acute onset of rhythmic twitching over the left abdominal muscles that had persisted for more than 4 hours. Neurologic examination revealed mild weakness and impaired sensation in the left lower limb. Electroencephalography disclosed active focal spikes in the right parietal region and brain magnetic resonance imaging showed a well-enhanced lesion involving the right parietal lobe and its overlying dura mater. Surgical removal of the lesion revealed infiltration by abundant chronic inflammatory cells without granuloma formation, caseous necrosis or vasculitis. After surgery, the patient was treated with steroid, which was tapered off 5 months later. Serial magnetic resonance imaging follow-up revealed that the parenchymal mass and perifocal edema had completely disappeared 6 months after the operation. We suggest that early recognition of this rare IHP, together with proper surgical intervention and concomitant steroid therapy, may be beneficial for long-term remission.

Gradient Relationship between Increased Mean Corpuscular Volume and Mortality Associated with Cerebral Ischemic Stroke and Ischemic Heart Disease: A Longitudinal Study on 66,294 Taiwanese.

The gradient relationship between mean corpuscular volume (MCV) and mortality due to ischemic vascular disease has not been researched using a large-scale population-based study. This study evaluated the association between MCV and death attributable to cerebrovascular disease (CVD) and cardiovascular disease (CAD) in a large population- and community-based Taiwanese cohort. A longitudinal study with a 9-year follow-up was conducted to evaluate individuals aged 20 years or older who had participated in the Keelung (the northernmost city in Taiwan) community-based integrated screening (abbreviated as KCIS) program since September 1999. The mortality rates associated with CVD and CAD were classified across a range of different MCV levels. Increased MCV levels were associated with an increased risk of CVD/CAD-related death (adjusted hazard ratio [aHR] = 1.42, trend test P = 0.0119). Marginally statistically significant associations were noted for specific deaths from ischemic heart disease (aHR = 1.44, trend test P = 0.0992) and cerebral ischemic stroke (aHR = 1.66, trend test P = 0.0667), respectively, but no significant gradient relationship was noted for death from cerebral hemorrhage stroke (aHR = 1.23, trend test, P = 0.6278). A gradient relationship between baseline MCV level and CVD/CAD-related death was noted, but whether such gradient relationships existed for two specific deaths and how these relationships may be confounded by extraneous factors that were not considered here should be investigated in the future.

[Isolation and elucidation of chemical constituents with antiviral action from yinqiaosan on influenza virus].

OBJECTIVE: To study the chemical constituents with antiviral action from Yinqiaosan on influenza virus. METHOD: Constituents were isolated by different kinds of column chromatography and their structures were elucidated with chemical and spectral methods. RESULT: Eleven chemical constituents were isolated and elucidated as arctiin, phillyrin, forsythiaside, liquiritigenin, liquiritin, genistein, formononetin, daidzein, glycitrin, 3,3',4-tri-omethlellagic acid and chlorogenic acid. CONCLUSION: Genistein, daidzein, glycitrin and 3,3',4-tri-omethlellagic acid were isolated from Yinqiaosan for the first time.