Acute Pancreatitis in Pregnancy: A Propensity Score Matching Analysis and Dynamic Nomogram for Risk Assessment.

BACKGROUND: Acute pancreatitis is easily confused with abdominal pain symptoms, and it could lead to serious complications for pregnant women and fetus, the mortality was as high as 3.3% and 11.6-18.7%, respectively. However, there is still lack of sensitive laboratory markers for early diagnosis of APIP and authoritative guidelines to guide treatment. OBJECTIVE: The purpose of this study was to explore the risk factors of acute pancreatitis in pregnancy, establish, and evaluate the dynamic prediction model of risk factors in acute pancreatitis in pregnancy patients. STUDY DESIGN: Clinical data of APIP patients and non-pregnant acute pancreases patients who underwent regular antenatal check-ups during the same period were collected. The dataset after propensity matching was randomly divided into training set and verification set at a ratio of 7:3. The model was constructed using Logistic regression, least absolute shrinkage and selection operator regression, R language and other methods. The training set model was used to construct the diagnostic nomogram model and the validation set was used to validate the model. Finally, the accuracy and clinical practicability of the model were evaluated. RESULTS: A total of 111 APIP were included. In all APIP patients, hyperlipidemic pancreatitis was the most important reason. The levels of serum amylase, creatinine, albumin, triglyceride, high-density lipoprotein cholesterol, and apolipoprotein A1 were significantly different between the two groups. The propensity matching method was used to match pregnant pancreatitis patients and pregnant non-pancreatic patients 1:1 according to age and gestational age, and the matching tolerance was 0.02. The multivariate logistic regression analysis of training set showed that diabetes, triglyceride, Body Mass Index, white blood cell, and C-reactive protein were identified and entered the dynamic nomogram. The area under the ROC curve of the training set was 0.942 and in validation set was 0.842. The calibration curve showed good predictive in training set, and the calibration performance in the validation set was acceptable. The calibration curve showed the consistency between the nomogram model and the actual probability. CONCLUSION: The dynamic nomogram model we constructed to predict the risk factors of acute pancreatitis in pregnancy has high accuracy, discrimination, and clinical practicability.

Prediction and evaluation of a nomogram model for recurrent acute pancreatitis.

OBJECTIVE: The purpose of this study was to investigate the influencing factors for recurrent acute pancreatitis and construct the nomogram model to predict the risk of recurrent acute pancreatitis. METHODS: Patients diagnosed with acute pancreatitis in the Affiliated Hospital of Southwest Medical University were enrolled. We collected these patients' basic information, laboratory data, imaging information. Using Logistic regression and least absolute shrinkage and selection operator regression to select risk factor for Cross-Validation Criterion. To create nomogram and validated by receiver operator characteristic curve, calibration curves and decision curve analysis. RESULTS: A total of 533 patients with acute pancreatitis were included, including 99 recurrent acute pancreatitis patients. The average age of recurrent acute pancreatitis patients was 49.69 years old, and 67.7% of them were male. At the same time, in all recurrent acute pancreatitis patients, hypertriglyceridemic pancreatitis is the most important reason (54.5%). Regression analysis and least absolute shrinkage and selection operator regression showed that smoking history, acute necrotic collection, triglyceride, and alcohol etiology for acute pancreatitis were identified and entered into the nomogram. The area under the receiver operator characteristic curve of the training set was 0.747. The calibration curve showed the consistency between the nomogram model and the actual probability. CONCLUSION: In conclusion, some high-risk factors like smoking history, acute necrotic collection, triglyceride, and alcohol etiology for acute pancreatitis may predict recurrent pancreatitis and their incorporation into a nomogram has high accuracy in predicting recurrence.

Comparing clinical outcomes of peroral endoscopic myotomy for achalasia between Eastern and Western countries: a systematic review and meta-analysis.

Peroral endoscopic myotomy (POEM) has revolutionized the therapeutic strategy for achalasia with promising results. We conducted this meta-analysis to compare clinical outcomes between Eastern and Western countries. A comprehensive literature search was conducted in PubMed, EMBASE, Web of Science and Cochrane Library databases to query for studies that assessed the efficacy of POEM for achalasia. All articles published from inception to December 31, 2021 were included. The primary outcome was the pooled clinical success rate. The secondary outcomes included the pooled technical success rate, incidence of adverse events, procedure time and hospital stay. Eighteen Eastern studies involving 5962 patients and 11 Western studies involving 1651 patients were included. The pooled clinical success rate and technical success rate for POEM was equal in the Eastern studies compared to Western studies. The pooled incidence of procedure adverse events for POEM was a little lower in the Eastern studies compared to Western studies (6.6% vs. 8.7%). Similarly, the incidence of reflux-related adverse events was lower in Eastern studies than that in Western studies. The pooled procedure time of POEM was shorter in Eastern studies compared to Western studies (61 minutes vs. 80 minutes), while the length of hospital stay was longer in Eastern studies compared to Western studies (5.8 days vs. 2.4 days). Overall, Eastern countries have the similar POEM outcomes compared to Western countries. However, Eastern countries still need to do more to reduce the length of hospital stay.

Application of a Machine Learning Predictive Model for Recurrent Acute Pancreatitis.

BACKGROUND AND AIM: Acute pancreatitis is the main cause of hospitalization for pancreatic disease. Some patients tend to have recurrent episodes after experiencing an episode of acute pancreatitis. This study aimed to construct predictive models for recurrent acute pancreatitis (RAP). METHODS: A total of 531 patients who were hospitalized for the first episode of acute pancreatitis at the Affiliated Hospital of Southwest Medical University from January 2018 to December 2019 were enrolled in the study. We confirmed whether the patients had a second episode until December 31, 2021, through an electronic medical record system and telephone or WeChat follow-up. Clinical and follow-up data of patients were collected and randomly allocated to the training and test sets at a ratio of 7:3. The training set was used to select the best model, and the selected model was tested with the test set. The area under the receiver operating characteristic curves, sensitivity, specificity, positive predictive value, negative predictive value, accuracy, decision curve, and calibration plots were used to assess the efficacy of the models. Shapley additive explanation values were used to explain the model. RESULTS: Considering multiple indices, XGBoost was the best model. The area under the receiver operating characteristic curves, accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model in the test set were 0.779, 0.763, 0.883, 0.647, 0.341, and 0.922, respectively. According to the Shapley additive explanation values, drinking, smoking, higher levels of triglyceride, and the occurrence of ANC are associated with RAP. CONCLUSION: The XGBoost model shows good performance in predicting RAP, which may help identify high-risk patients.

FANCD2 as a novel prognostic biomarker correlated with immune and drug therapy in Hepatitis B-related hepatocellular carcinoma.

BACKGROUND: Ferroptosis is related to the immunosuppression of tumors and plays a critical role in cancer progression. Fanconi anemia complementation group D2 (FANCD2) is a vital gene that regulates ferroptosis. However, the mechanism of action of FANCD2 in Hepatitis B-related hepatocellular carcinoma (HCC) remains unknown. In this study, we investigated the prognostic significance and mechanism of action of FANCD2 in Hepatitis B-related HCC. METHODS: The expression of FANCD2 in Hepatitis B-related HCC was explored using The Cancer Genome Atlas (TCGA) and validated using the Gene Expression Omnibus (GEO) database. Univariate and multivariate Cox regression analyses and Kaplan-Meier survival curves were used to analyze the relationship between FANCD2 expression and the overall survival of patients with Hepatitis B-related HCC. Protein-protein interaction networks for FANCD2 were built using the STRING website. In addition, correlations between FANCD2 expression and the dryness index, tumor mutational burden, microsatellite instability (MSI), immune pathways, genes involved in iron metabolism, and sorafenib chemotherapeutic response were analyzed. RESULTS: Our results indicated that FANCD2 was significantly overexpressed in Hepatitis B-related HCC and demonstrated a strong predictive ability for diagnosis (Area Under Curve, 0.903) and prognosis of the disease. High FANCD2 expression was associated with poor prognosis, high-grade tumors, high expression of PDL-1, high MSI scores, and low sorafenib IC50 in Hepatitis B-related HCC. BRCA1, BRCA2, FAN1, and FANCC were vital proteins interacting with FANCD2. The expression level of FANCD2 significantly correlated with the infiltration levels of Treg cells, B cells, CD8 + T cells, CD4 + T cells, neutrophils, macrophages, myeloid dendritic cells, and NK cells in Hepatitis B-related HCC. FANCD2 was positively correlated with the tumor proliferation signature pathway, DNA repair, and cellular response to hypoxia. CONCLUSION: Our study indicated that FANCD2 was a potential novel biomarker and immunotherapeutic target against Hepatitis B-related HCC, which might be related to the chemotherapeutic response to sorafenib.

Epidemiologic characteristics and risk factors associated with overall survival for patients with mucinous colorectal cancer: A population-based study.

BACKGROUND: Mucinous adenocarcinoma (MC) has attracted much attention as a distinct histologic subtype of colorectal cancer in recent years. However, data about its epidemiologic and prognostic characteristics are limited. Therefore, patient data extracted from the National Cancer Institute's Surveillance, Epidemiology, and End Results Program were collected to analyze the epidemiologic and clinicopathological characteristics of MC. AIM: To determine the epidemiologic and clinicopathological characteristics of MC. METHODS: The incidence trend of MC was calculated through the Joinpoint Regression Program. Cox regression analyses were performed to identify prognostic factors associated with overall survival (OS). A nomogram was established to predict the survival probability of individual patients with MC. RESULTS: We found that rates of MC decreased from 4.50/100000 in 2000 to 1.54/100000 in 2018. Rates of MCs in patients aged ≤ 50 years decreased 2.27%/year during 2000-2018. The incidence of appendiceal MCs increased from 0.14/100000 in 2000 to 0.24/100000 in 2018, while the incidence in other anatomic subsites continued to decrease. On multivariable Cox analyses, age, race, tumor site, T stage, N stage, M stage, surgery, and chemotherapy were associated with OS. A nomogram was developed based on these factors, and the area under the curve for 1-year, 3-year, and 5-year OS in the training cohort was 0.778, 0.778, and 0.768, respectively. CONCLUSION: Our results demonstrated that MC incidence decreased in almost all anatomic subgroups except for the appendix. A nomogram predicting the survival probability of patients with MCs showed good performance.

Prediction of in-hospital Mortality of Intensive Care Unit Patients with Acute Pancreatitis Based on an Explainable Machine Learning Algorithm.

BACKGROUND AND AIM: Acute pancreatitis (AP) is potentially fatal. Therefore, early identification of patients at a high mortality risk and timely intervention are essential. This study aimed to establish an explainable machine-learning model for predicting in-hospital mortality of intensive care unit (ICU) patients with AP. METHODS: Data on patients with AP, including demographics, vital signs, laboratory tests, comorbidities, treatment, complication, and severity scores, were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) and the eICU collaborative research database (eICU-CRD). Based on the data from MIMIC-IV, we used the least absolute shrinkage and selection operator algorithm to select variables and then established 9 machine-learning models and screened the optimal model. Data from the eICU-CRD were used for external validation. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, accuracy, decision curve, and calibration plots were used to assess the models' efficacy. Shapley's additive explanation values were used to explain the model. RESULTS: Gaussian naive Bayes (GNB) model had the best performance on the data from MIMIC-IV, with an AUC, accuracy, sensitivity, and specificity of 0.840, 0.787, 0.839, and 0.792, respectively. The GNB model also performed well on the data from the eICU-CRD, with an AUC, accuracy, sensitivity, and specificity of 0.862, 0.833, 0.848, and 0.763, respectively. According to Shapley's additive explanation values, the top 4 predictive factors were maximum red cell distribution width, minimum saturation of blood oxygen, maximum blood urea nitrogen, and the Sequential Organ Failure Assessment score. CONCLUSION: The GNB model demonstrated excellent performance and generalizability in predicting mortality in ICU patients with AP. Therefore, it can identify patients at a high mortality risk.

The role of artificial neural networks in prediction of severe acute pancreatitis associated acute respiratory distress syndrome: A retrospective study.

Early identification and intervention of acute respiratory distress syndrome (ARDS) are particularly important. This study aimed to construct predictive models for ARDS following severe acute pancreatitis (SAP) by artificial neural networks and logistic regression. The artificial neural networks model was constructed using clinical data from 214 SAP patients. The patient cohort was randomly divided into a training set and a test set, with 149 patients allocated to the training set and 65 patients assigned to the test set. The artificial neural networks and logistic regression models were trained by the training set, and then the performance of both models was evaluated using the test set. The sensitivity, specificity, PPV, NPV, accuracy, and AUC value of artificial neural networks model were 68.0%, 87.5%, 77.3%, 81.4%, 80.0%, 0.853 ±â€…0.054 (95% CI: 0.749-0.958). The sensitivity, specificity, PPV, NPV, accuracy and AUC value of logistic regression model were 48.7%, 85.3%, 65.5%, 74.4%, 72.0%, 0.799 ±â€…0.045 (95% CI: 0.710-0.888). There were no significant differences between the artificial neural networks and logistic regression models in predictive performance. Bedside Index of Severity in Acute Pancreatitis score, procalcitonin, prothrombin time, and serum calcium were the most important predictive variables in the artificial neural networks model. The discrimination abilities of logistic regression and artificial neural networks models in predicting SAP-related ARDS were similar. It is advisable to choose the model according to the specific research purpose.

Development and Validation of a Dynamic Nomogram for Predicting in-Hospital Mortality in Patients with Acute Pancreatitis: A Retrospective Cohort Study in the Intensive Care Unit.

Purpose: The aim of this study is to develop and validate a predictive model for the prediction of in-hospital mortality in patients with acute pancreatitis (AP) based on the intensive care database. Patients and Methods: We analyzed the data of patients with AP in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and Electronic Intensive Care Unit Collaborative Research Database (eICU-CRD). Then, patients from MIMIC-IV were divided into a development group and a validation group according to the ratio of 8:2, and eICU-CRD was assigned as an external validation group. Univariate logistic regression and least absolute shrinkage and selection operator regression were used for screening the best predictors, and multivariate logistic regression was used to establish a dynamic nomogram. We evaluated the discrimination, calibration, and clinical efficacy of the nomogram, and compared the performance of the nomogram with Acute Physiology and Chronic Health Evaluation II (APACHE-II) score and Bedside Index of Severity in AP (BISAP) score. Results: A total of 1030 and 514 patients with AP in MIMIC-IV database and eICU-CRD were included in the study. After stepwise analysis, 8 out of a total of 37 variables were selected to construct the nomogram. The dynamic nomogram can be obtained by visiting https://model.sci-inn.com/KangZou/. The area under receiver operating characteristic curve (AUC) of the nomogram was 0.859, 0.871, and 0.847 in the development, internal, and external validation set respectively. The nomogram had a similar performance with APACHE-II (AUC = 0.841, p = 0.537) but performed better than BISAP (AUC = 0.690, p = 0.001) score in the validation group. Moreover, the calibration curve presented a satisfactory predictive accuracy, and the decision curve analysis suggested great clinical application value of the nomogram. Conclusion: Based on the results of internal and external validation, the nomogram showed favorable discrimination, calibration, and clinical practicability in predicting the in-hospital mortality of patients with AP.

Global research trends in the COVID-19 and digestive disease: A review of visualization and bibliometric study.

BACKGROUND: The rapid spread of coronavirus disease 2019 (COVID-19) has attracted worldwide attention. There were also reported gastrointestinal symptoms in patients with COVID-19. This work aims to analyze the global research trends in COVID-19 and digestive disease. METHODS: The related papers on COVID-19 and digestive disease were identified with Pubmed and web of science core collection on September 3, 2021. Bibliometric visualization was conducted through VOSviewer and CiteSpace. RESULTS: The analytic research was based on original articles and reviews. There were 997 articles found, with citations ranging from 0 to 878. These articles were distributed among 86 countries and 355 journals. The USA mainly contributed (288 articles), where 3 of the top 10 institutions were located. Followed by China (215 articles) and Italy (160 articles). The highest level of scientific collaboration has been formed between the USA to China. The World Journal of Gastroenterology (39 papers) published the most significant number of articles. Concerning the research topic, the colon/small bowel had the largest number of articles, followed by the liver and pancreaticobiliary. "Liver injury," "inflammatory bowel disease," "management," and "endoscopy" were the hotspot keywords. The largest cluster of liver transplantation had offered hints regarding research frontiers. CONCLUSION: The analytic results showed that the liver, especially liver transplantation, and inflammatory bowel disease were the 2 most influential research topics in COVID-19 and digestive disease.

Mid-Term and Long-Term Outcomes of Peroral Endoscopic Myotomy for the Treatment of Achalasia: A Systematic Review and Meta-Analysis.

BACKGROUND AND AIMS: Peroral endoscopic myotomy (POEM) achieves a satisfactory short-term clinical response in patients with achalasia. However, data on mid- and long-term clinical outcomes are limited. We aimed to assess the mid- and long-term efficacy and safety of POEM in achalasia patients. METHODS: Using the pre-designed search strategy, we identified relevant studies that evaluated the efficacy and safety of POEM with a minimum of 2-year follow-up in the Embase, Cochrane, and PubMed databases from inception to January 2021. Primary outcome was pooled mid- and long-term clinical success rate based on the Eckardt score. Secondary outcome was pooled long-term reflux-related adverse events. RESULTS: A total of 21 studies involving 2,698 patients were included. Overall, the pooled clinical success rates with 2-, 3-, 4-, and 5-year follow-ups were 91.3% (95% confidence interval [CI] 88.4-93.6%), 90.4% (95% CI 88.1-92.2%), 89.8% (95% CI 83.6-93.9%), and 82.2% (95% CI 76.6-86.7%), respectively. Besides, the pooled long-term clinical success rates for type I, II, and III achalasia were 86.1% (95% CI 80.9-90.1%; I2 = 0%), 87.9% (95% CI 84.2-90.8%; I2 = 48.354%), and 83.9% (95% CI 72.5-91.2%; I2 = 0%), respectively. Moreover, the pooled incidence of symptomatic reflux and reflux esophagitis was 23.9% (95% CI 18.7-29.9%) and 16.7% (95% CI 11.9-23.1%), respectively. CONCLUSIONS: POEM is associated with a long-term clinical success of 82.2% after 5 years of follow-up. Randomized control trials comparing POEM with laparoscopic Heller myotomy or pneumatic dilation with longer follow-up periods are needed to further demonstrate the long-term safety and efficacy of POEM.

The scientific progress and prospects of hepatitis C research from 2013 to 2022.

BACKGROUND AND OBJECTIVE: Hepatitis C (HC) is a global health issue, with an estimated 350,000 people dying annually from this liver-related disease. This study determined the development trends and research hotspots regarding HC by investigating the related articles within the past ten years. METHODS: Publications on HC were retrieved from the Web of Science Core Collection (WoSCC) on June 6, 2022. Bibliometric visualization was conducted through VOSviewer and CiteSpace. Original articles and reviews served as the foundation for this analytical research. RESULTS: Of the total 17,773 records of HC research published from 2013 to 2022, the top 1,000 articles were retrieved and distributed among 78 countries and 270 journals. The US, where 7 of the top 10 institutions were located, mainly contributed to the study (51.9%). Johns Hopkins University distributed the most related articles (45 articles). Hepatology (IF 2021 = 17.298) ranked first, with 109 articles in the top 10 journals. Dore GJ was the most productive author (40 articles). The keywords of sustained virologic response, therapy, sofosbuvir, cirrhosis, ledipasvir, and hepatocellular carcinoma offered hints regarding research hotspots. The burst keywords regarding the virus, like HCV, HIV, and care and intervention showed as research frontiers. CONCLUSIONS: Treatment has been a trending topic in HC research, and future research may focus more on HCV and HIV co-infection, treatment, and elimination of HC.

Global research trends in the field of liver cirrhosis from 2011 to 2020: A visualised and bibliometric study.

BACKGROUND: Liver cirrhosis is the leading cause of liver-related mortality worldwide. It is currently a global health challenge. AIM: This research intended to explore and analyse research trends and frontiers in this field during the last 10 years, providing new inspiration for clinical decision-making and scientific research. METHODS: Publications on hepatic cirrhosis research were retrieved from the Web of Science Core Collection on April 4, 2021. Bibliometric visualisation was conducted through VOSviewer and CiteSpace. RESULTS: The analytic research was based on original articles and reviews. A total of 7775 records of hepatic cirrhosis published from 2011 to 2020 were retrieved. In the past ten years, the number of related annual publications has increased significantly, especially in the United States and China. All publications were distributed among 109 countries. The United States contributed the most (21.95%) and was consistently the leading driving force, with a solid academic reputation in this area. The University of Barcelona distributed the most related articles (177 articles) and was cited the most frequently. The Journal of Hepatology ranked third in the top 10 journals, which has the highest impact factor (impact factor 2019 = 20.582). Jasmohan S. Bajaj was the most productive author (72 articles). Burst keywords (e.g., sofosbuvir, burden, care, sarcopenia, chronic liver failure, human gut microbiome, and nonalcoholic fatty liver disease) and a succession of reference citation bursts have provided clues about research frontiers in recent years. CONCLUSION: This study identified developing trends in the evolution of liver cirrhosis to provide new inspiration for researchers.

Safety and Efficacy of Peroral Endoscopic Shorter Myotomy versus Longer Myotomy for Patients with Achalasia: A Systematic Review and Meta-analysis.

Background and Aims: The adequate myotomy length during peroral endoscopic myotomy (POEM) is still controversial. We performed this systematic review and meta-analysis to determine the efficacy and safety of the modified POEM with shorter myotomy (SM) and compare the outcomes between SM and longer myotomy (LM) in achalasia patients. Methods: A comprehensive literature search was conducted in PubMed, EMBASE, Cochrane Library, and Web of Science databases from inception to May 28, 2021. The primary outcome was clinical success rate and incidence of reflux-relative adverse events (AEs). Fixed- or random-effect models were adopted for the analysis according to the heterogeneity. Results: Five studies involving 225 patients in SM group and 222 patients in LM group were included. The overall clinical success of SM was 96.6% (95% confidence interval (CI) 92.7 to 98.4%). SM showed noninferior response as compared to LM (risk ratio (RR) 1.02, 95% CI 0.98 to 1.06, P = 0.41, I 2 = 0%). Based on the abnormal acid reflux by pH monitoring, its incidence was significantly lower in the SM group than that in the LM group (RR 0.58, 95% CI 0.36 to 0.94, P = 0.03, I 2 = 0%). With respect to procedure-related parameters, the total procedure time of SM was significantly shorter than that of LM (mean difference (MD) -16.30, 95% CI -23.10 to -9.49, P < 0.001, I 2 = 68%). Conclusions: SM and LM are comparable in providing treatment efficacy for achalasia patients, whereas less operation time and lower incidence of post-POEM abnormal esophageal acid exposure are observed in SM.

Supplementary education can improve the rate of adequate bowel preparation in outpatients: A systematic review and meta-analysis based on randomized controlled trials.

BACKGROUND: Colonoscopy is widely used for the screening, diagnosis and treatment of intestinal diseases. Adequate bowel preparation is a prerequisite for high-quality colonoscopy. However, the rate of adequate bowel preparation in outpatients is low. Several studies on supplementary education methods have been conducted to improve the rate of adequate bowel preparation in outpatients. However, the controversial results presented encourage us to perform this meta-analysis. METHOD: According to the PRISMA statement (2020), the meta-analysis was registered on PROSPERO. We searched all studies up to August 28, 2021, in the three major electronic databases of PubMed, Web of Science and Cochrane Library. The primary outcome was adequate bowel preparation rate, and the secondary outcomes included bowel preparation quality score, polyp detection rate, adenoma detection rate, cecal intubation time, withdrawal time, nonattendance rate and willingness to repeat rate. If there was obvious heterogeneity, the funnel plot combined with Egger's test, meta-regression analysis, sensitivity analysis and subgroup analysis were used to detect the source of heterogeneity. RevMan 5.3 and Stata 17.0 software were used for statistical analysis. RESULTS: A total of 2061 records were retrieved, and 21 full texts were ultimately included in the analysis. Our meta-analysis shows that supplementary education can increase the rate of adequate bowel preparation for outpatients (79.9% vs 72.9%, RR = 1.14, 95% CI: 1.08-1.20, I2 = 87%, p<0.00001). Supplementary education shortened the withdrawal time (MD: -0.80, 95% CI: -1.54 to -0.05, p = 0.04) of outpatients, increased the Boston Bowel Preparation Scale (MD: 0.40, 95% CI: 0.36 to 0.44, p<0.00001), reduced the Ottawa Bowel Preparation Scale (MD: -1.26, 95% CI: -1.66 to -0.86, p<0.00001) and increased the willingness to repeat (91.9% vs 81.4%, RR:1.14, 95% CI: 1.04 to 1.25, p = 0.004). CONCLUSION: Supplementary education for outpatients based on the standard of care can significantly improve the quality of bowel preparation.

An analysis of retracted articles in the field of pancreatic diseases.

BACKGROUND: Review of retracted articles has a positive impact on scientific research. The aim of our study was to examine the characteristics of retracted articles in the field of pancreatic diseases. METHODS: The Retraction Watch database was queried for retractions in pancreatic diseases on 7 March 2021, and the filters set were as follows: (1) the Title typed in was "pancreatitis", "pancreas", or "pancreatic"; (2) the Nature of notice selected was "retraction". RESULTS: A total of 116 retracted articles were identified as pancreatic disease-related, with over two-thirds of them pertaining to pancreatic cancer. Research article was the most common article type among these retractions. Common reasons given for retraction included scientific fraud (37.1%), duplication (26.7%), and reliability (25%). China had the largest number of retractions (n=51), followed by the United States (n=47). Most articles were retracted in recent years, particularly after 2015. CONCLUSIONS: A large proportion of retracted articles pertaining to pancreatic diseases have been retracted in recent years. The majority of publications-over three quarters-were retracted for authors who committed some type of misconduct. Differences between countries in the manner of misconduct were stark.

The role of peroral endoscopic myotomy for Zenker's diverticulum: a systematic review and meta-analysis.

BACKGROUND: Zenker's peroral endoscopic myotomy (Z-POEM) has revolutionized the therapeutic strategy for Zenker's diverticulum (ZD) with promising results. We conducted this meta-analysis to estimate the safety and efficacy of Z-POEM for ZD and compare the feasibility and effectiveness of Z-POEM with that of flexible endoscopic septotomy (FES). METHODS: A comprehensive literature search was conducted in PubMed, EMBASE, Web of Science, and Cochrane Library databases to query for studies that assessed the safety and efficacy of Z-POEM for ZD. All articles published from inception to July 31, 2021 were included. The primary outcomes were the overall technical success rate, clinical success rate, incidence of adverse events, and clinical recurrence rate. RESULTS: Eleven studies involving 357 patients undergone Z-POEM were included. Overall, the quality of included studies was above average, with five studies rated as high quality and six ranked as moderate quality. The overall pooled technical success rate for Z-POEM was 96.3% (95% confidence interval [CI] 93.6-97.9%; I2 = 0%). The total pooled clinical success rate for Z-POEM was 93.0% (95% CI 89.4-95.4%; I2 = 0%). The pooled incidence of adverse events for Z-POEM was 12.4% (95% CI 9.1-16.7%; I2 = 0%). The pooled clinical recurrence rate for Z-POEM was 11.2% (95% CI 7.6-16.2%; I2 = 0%). The clinical success for Z-POEM was significantly better than that of FES (relative risk [RR]: 1.11; CI 95% 1.03-1.18; p = 0.004, I2 = 0%), while there were no significant differences in technical success, adverse events, and clinical recurrence between Z-POEM and FES. CONCLUSION: Z-POEM could be an effective and safe therapeutic modality for ZD, and even has a slightly higher clinical success rate than FES. However, comparative studies with long-term follow-up will be needed to further confirm our finding.