1.Imaging findings of papillary tumor of the pineal region and literature review
Xufei ZHANG ; Lining WANG ; Jie GAO ; Jianxin HU ; Chenyang LIANG ; Mingwang ZHU
Journal of Practical Radiology 2024;40(3):352-355
Objective To investigate the imaging features of papillary tumor of the pineal region(PTPR).Methods The ima-ging data of 10 patients with PTPR confirmed by operation and pathology were analyzed retrospectively.Results All lesions were located in the posterior commissure area of the posterior inferior wall of the third ventricle.All lesions were heterogeneously hyper-intensity on T1WI and hyperintensity on T2WI.Multiple small cysts or microcapsules signal intensity were observed within the tumor.Of all 10 lesions,there were 9 lesions with high signal intensity within or at the edge of the lesion on T1WI.All lesions showed restricted diffusion.All 10 cases showed uneven and obvious enhancement patterns.Midbrain tectum was compressed and moved backward in 5 cases,moved downward in 2 cases,moved forward and downward in 1 case,and was not clearly displayed in other 2 cases.One case was disseminated and 1 case was hyperperfusion.There were all 10 cases with obstructive hydrocephalus and equal or slightly high density on CT imaging,and 4 cases with calcification.Conclusion Imaging characteristics of PTPR included the lesions centered on the posterior commissure,compressed tectum with backward and downward,multiple small cysts or micro-capsules components within the tumor,hyperintensity on T1WI,and uneven and obvious enhancement patterns.
2.Analysis of the Current Status of China's Adaptation Guidelines
Ling WANG ; Yaxuan REN ; Xufei LUO ; Di ZHU ; Zhewei LI ; Ye WANG ; Bingyi WANG ; Huayu ZHANG ; Shu YANG ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2024;15(1):192-201
3.The Differences and Connections Among Expert Evidence, Expert Opinion and Expert Consensus in the Development of Guidelines
Di ZHU ; Xufei LUO ; Zijun WANG ; Qianling SHI ; Haodong LI ; Ye WANG ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2024;15(4):936-941
Expert evidence, expert opinion, and expert consensus are frequently mentioned and used in the process of guideline development. However, due to the lack of clear definitions and standards, there is confusion and misuse among the three in practice. This paper clarifies the meanings, current status, differences, and connections of expert evidence, expert opinion, and expert consensus in the development of guidelines, aiming to provide a reference for guideline developers in China.
4.The Impact of Generative Artificial Intelligence on the Development, Evaluation, and Application of Clinical Practice Guidelines
Xufei LUO ; Han LYU ; Zaiwei SONG ; Hui LIU ; Zhixiang WANG ; Haodong LI ; Ye WANG ; Di ZHU ; Lu ZHANG ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2024;15(5):1173-1181
Generative artificial intelligence (GAI) refers to AI technology capable of generating new content such as text, images, or audio from training data. GAI tools not only demonstrate rapid and efficient potential in literature screening, data extraction, and literature appraisal in systematic reviews, but can also be used for guideline evaluation and dissemination, enhancing the readability and promotion efficiency of guidelines. However, the accuracy of content generated by GAI tools, the rationality of cited evidence, the level of evidence, and the reliability of data still need verification. Additionally, data privacy protection and ethical issues are challenges that need to be addressed. This article aims to overview the current status of GAI tools in the formulation, evaluation, dissemination, and implementation of guidelines, explore the feasibility and new models of GAI tools in the field of guidelines, and improve the efficiency and quality of guideline formulation to better serve guideline developers and users.
5.Establishment and validation of a predictive clinical model for postoperative surgical site infection in patients with colorectal surgery
Yiyu YANG ; Xufei ZHANG ; Jianwei ZHU ; Peige WANG ; Wenjing LIU ; Xiuwen WU ; Jian'an REN
Chinese Journal of Gastrointestinal Surgery 2023;26(9):837-846
Objective:To investigate the risk factors of surgical site infection (SSI) after colorectal surgery, and to establish and validate a risk prediction model nomogram.Methods:An observational study was conducted to retrospectively collect data of 6527 patients aged ≥16 years who underwent colorectal surgery in 56 domestic hospitals from March 1, 2021 to February 28, 2022 from the national Surgical Site Infection Surveillance network. The incidence of SSI after surgery was 2.3% (149/6527). According to the ratio of 7:3, 6527 patients were randomly divided into the modeling cohort (4568 cases) and the validation cohort (1959 cases), and there was no statistically significant difference between the two datasets ( P>0.05). Univariate analysis was performed using t test /Mann-Whitney U test /χ 2 test. Multivariate analysis was performed using binary logistic regression to establish a preliminary model and select variables using Lasso analysis to establish an optimized model nomogram. The discrimination and calibration of the model were evaluated by ROC curve, calibration curve, and Hosmer-Lemeshow test. AUC value>0.7 is considered a good discrimination of the model. The Bootstrap method (repeated self-sampling 1000 times) was used to verify the constructed model internally and externally to evaluate the accuracy of the constructed model. Results:Multivariate analysis showed that history of chronic liver disease (OR=3.626, 95%CI: 1.297-10.137, P<0.001) and kidney disease (OR=1.567,95%CI:1.042-2.357, P=0.038), surgical antibiotic prophylaxis (OR=1.564, 95%CI:1.038-2.357, P=0.035), and emergency surgery (OR=1.432,95%CI: 1.089-1.885, P=0.021), open surgery (OR=1.418, 95%CI:1.045-1.924, P=0.042), preoperative stoma (OR=3.310, 95%CI:1.542-7.105, P<0.001), postoperative stoma (OR=2.323,95%CI: 1.537-8.134, P<0.001), surgical incision type above grade II (OR=1.619,95%CI:1.097-2.375, P=0.014), and each unit increase in total bilirubin (OR=1.003,95%CI:-0.994-1.012, P=0.238), alanine aminotransferase (OR=1.006, 95%CI:1.001-1.011, P=0.032), blood urea nitrogen (OR=1.003,95%CI:0.995-1.011, P=0.310), blood glucose (OR=1.024, 95%CI:1.005-1.043, P=0.027), C-reactive protein (OR=1.007, 95%CI:1.003-1.011, P<0.001), length of incision (OR=1.042, 95%CI:1.002-1.087, P=0.031), surgical duration (OR=1.003,95%CI:1.001-1.005, P=0.017), and surgical blood loss (OR=1.001,95%CI: 1.000-1.002, P=0.045) were risk factors for SSI after colorectal surgery. Each unit increase in albumin level (OR=0.969,95%CI:0.941-0.998, P=0.036) was an independent protective factor for SSI after colorectal surgery. The area under the curve of the optimized model obtained by internal and external validation were 0.768 (95%CI: 0.723-0.813) and 0.753 (95%CI: 0.680-0.832), respectively. The predicted value of the calibration curve was basically consistent with the actual value. Conclusions:The risk prediction model for SSI after colorectal surgery constructed in this study has good discrimination and calibration. The nomogram created in this model can provide an evaluation basis for the observed rate and expected event rate of SSI after clinical colorectal surgery.
6.Establishment and validation of a predictive clinical model for postoperative surgical site infection in patients with colorectal surgery
Yiyu YANG ; Xufei ZHANG ; Jianwei ZHU ; Peige WANG ; Wenjing LIU ; Xiuwen WU ; Jian'an REN
Chinese Journal of Gastrointestinal Surgery 2023;26(9):837-846
Objective:To investigate the risk factors of surgical site infection (SSI) after colorectal surgery, and to establish and validate a risk prediction model nomogram.Methods:An observational study was conducted to retrospectively collect data of 6527 patients aged ≥16 years who underwent colorectal surgery in 56 domestic hospitals from March 1, 2021 to February 28, 2022 from the national Surgical Site Infection Surveillance network. The incidence of SSI after surgery was 2.3% (149/6527). According to the ratio of 7:3, 6527 patients were randomly divided into the modeling cohort (4568 cases) and the validation cohort (1959 cases), and there was no statistically significant difference between the two datasets ( P>0.05). Univariate analysis was performed using t test /Mann-Whitney U test /χ 2 test. Multivariate analysis was performed using binary logistic regression to establish a preliminary model and select variables using Lasso analysis to establish an optimized model nomogram. The discrimination and calibration of the model were evaluated by ROC curve, calibration curve, and Hosmer-Lemeshow test. AUC value>0.7 is considered a good discrimination of the model. The Bootstrap method (repeated self-sampling 1000 times) was used to verify the constructed model internally and externally to evaluate the accuracy of the constructed model. Results:Multivariate analysis showed that history of chronic liver disease (OR=3.626, 95%CI: 1.297-10.137, P<0.001) and kidney disease (OR=1.567,95%CI:1.042-2.357, P=0.038), surgical antibiotic prophylaxis (OR=1.564, 95%CI:1.038-2.357, P=0.035), and emergency surgery (OR=1.432,95%CI: 1.089-1.885, P=0.021), open surgery (OR=1.418, 95%CI:1.045-1.924, P=0.042), preoperative stoma (OR=3.310, 95%CI:1.542-7.105, P<0.001), postoperative stoma (OR=2.323,95%CI: 1.537-8.134, P<0.001), surgical incision type above grade II (OR=1.619,95%CI:1.097-2.375, P=0.014), and each unit increase in total bilirubin (OR=1.003,95%CI:-0.994-1.012, P=0.238), alanine aminotransferase (OR=1.006, 95%CI:1.001-1.011, P=0.032), blood urea nitrogen (OR=1.003,95%CI:0.995-1.011, P=0.310), blood glucose (OR=1.024, 95%CI:1.005-1.043, P=0.027), C-reactive protein (OR=1.007, 95%CI:1.003-1.011, P<0.001), length of incision (OR=1.042, 95%CI:1.002-1.087, P=0.031), surgical duration (OR=1.003,95%CI:1.001-1.005, P=0.017), and surgical blood loss (OR=1.001,95%CI: 1.000-1.002, P=0.045) were risk factors for SSI after colorectal surgery. Each unit increase in albumin level (OR=0.969,95%CI:0.941-0.998, P=0.036) was an independent protective factor for SSI after colorectal surgery. The area under the curve of the optimized model obtained by internal and external validation were 0.768 (95%CI: 0.723-0.813) and 0.753 (95%CI: 0.680-0.832), respectively. The predicted value of the calibration curve was basically consistent with the actual value. Conclusions:The risk prediction model for SSI after colorectal surgery constructed in this study has good discrimination and calibration. The nomogram created in this model can provide an evaluation basis for the observed rate and expected event rate of SSI after clinical colorectal surgery.
7.Assessment study on the quality of diagnostic radiographic case reports published in imaging journals of the Chinese science citation database
Mengshu WANG ; Xufei LUO ; Xiaojuan XIAO ; Ying ZHU ; Ling WANG ; Yaolong CHEN ; Junqiang LEI ; Jinhui TIAN
Chinese Journal of Radiology 2022;56(8):898-904
Objective:To evaluate the reporting quality of diagnostic radiological imaging case reports published in Chinese science citation database (CSCD) imaging journals.Methods:This study was a cross-sectional survey. We searched CSCD to include imaging journals from 2021 to 2022, from which we retrieved diagnostic radiological imaging case reports published in 2020, and evaluated their reporting quality using case reports (CARE) reporting criteria.Results:A total of five imaging CSCD journals were searched, with 161 final diagnostic imaging case reports included. The median and interquartile range reporting rate of the included studies was 33.5% (7.5%, 93.3%), and patient perspective and informed consent were not reported in all studies. Items with reporting rates below 10% included 3a (abstract-introduction), 3c (abstract-diagnoses, therapeutic interventions, and outcomes), 8b (diagnostic challenges), and 8d (prognosis where applicable), with reporting rates of 2.5% (4/161), 0.6% (1/161), 0.6% (1/161), and 4.3% (7/161), respectively. Reporting rates for items between 10% and 50% included 3b (abstract-main symptoms and/or important clinical findings), 4 (introduction), 5c (medical, family, and psycho-social history), 7 (timeline), 10 (follow-up and outcomes), and 11a (a scientific discussion of the strengths and limitations), with reporting rates of 16.8% (27/161), 30.4% (49/161), 34.2% (55/161), 24.8% (40/161), 32.9% (53/161), and 31.7% (51/161), respectively; The reporting rates for item 1 (title), item 2 (keywords), item 5a (identified patient specific information), item 5b (primary concerns and symptoms of the patient), item 8a (diagnostic testing), and item 11c (the scientific rationale for any conclusions) were all over 90%. Moreover, the number of authors as well as the number of disciplines were not associated with the quality of diagnostic imaging case reports.Conclusions:The overall adherence to CARE items in radiographic diagnostic case reports published in the CSCD imaging journals is low. Editors of the imaging journals, radiologists and the researchers of the reporting standard should emphasize the guidelines for drafting case reports and improve the quality of reporting of case reports.
8.The Global Landscape of SARS-CoV-2 Genomes, Variants, and Haplotypes in 2019nCoVR
Song SHUHUI ; Ma LINA ; Zou DONG ; Tian DONGMEI ; Li CUIPING ; Zhu JUNWEI ; Chen MEILI ; Wang ANKE ; Ma YINGKE ; Li MENGWEI ; Teng XUFEI ; Cui YING ; Duan GUANGYA ; Zhang MOCHEN ; Jin TONG ; Shi CHENGMIN ; Du ZHENGLIN ; Zhang YADONG ; Liu CHUANDONG ; Li RUJIAO ; Zeng JINGYAO ; Hao LILI ; Jiang SHUAI ; Chen HUA ; Han DALI ; Xiao JINGFA ; Zhang ZHANG ; Zhao WENMING ; Xue YONGBIAO ; Bao YIMING
Genomics, Proteomics & Bioinformatics 2020;18(6):749-759
On January 22, 2020, China National Center for Bioinformation (CNCB) released the 2019 Novel Coronavirus Resource (2019nCoVR), an open-access information resource for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 2019nCoVR features a comprehensive integra-tion of sequence and clinical information for all publicly available SARS-CoV-2 isolates, which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline. Of particular note, 2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale. It provides all identified variants and their detailed statistics for each virus isolate, and congregates the quality score, functional annotation,and population frequency for each variant. Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available. Moreover, 2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019 (COVID-19), including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC. Furthermore, by linking with relevant databases in CNCB, 2019nCoVR offers data submission services for raw sequence reads and assembled genomes, and data sharing with NCBI. Collectively, SARS-CoV-2 is updated daily to collect the latest information on genome sequences, variants, hap-lotypes, and literature for a timely reflection, making 2019nCoVR a valuable resource for the global research community. 2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.
9.Clinical diagnosis and treatment characteristics of pancreatic cystic neoplasms in pediatric patients: a report of 13 cases
Houfang KUANG ; Xueqiang YAN ; Xufei DUAN ; Hongqiang BIAN ; Jun YANG ; Zhenchuang ZHU
Chinese Journal of Surgery 2020;58(7):525-529
Objective:To investigate the clinical characteristics of pancreatic cystic neoplasms in pediatric patients.Methods:The clinical data of 13 patients with pancreatic cystic neoplasm at Wuhan Children′s Hospital from July 2007 to November 2019 were collected.There were 5 males and 8 females, with a mean age of 133 months(range: 9 to 170 months). Eleven patients presented with abdominal pain, vomiting, and a palpable mass. Tumors were located in the pancreatic head( n=7), body( n=2) and tail( n=4), respectively. Results:The preoperative diagnosis was confirmed by imaging examination in 11 patients, CT and MRI was significantly superior to ultrasound in the exact diagnosis of the tumor types. In this group, surgical methods mainly included pancreaticoduodenectomy( n=3), pylorus-preserving pancreatoduodenectomy( n=1), duodenum-preserving pancreas head resection( n=3), spleen-preserving distal pancreatectomy ( n=3), distal pancreatectomy plus splenectomy( n=2), and tumor enucleation( n=1). Postoperative complications including biochemical leakage( n=1), delayed gastric emptying(grade A) ( n=1), adhesive intestinal obstruction( n=1), transient elevation of platelet count( n=2), all were cured by conservative treatment. In one patient biliary leakage occurred and later developed into biliary stricture, this patient underwent the second operation 6 weeks later and recovered smoothly. All patients were diagnosed by postoperative pathology, including solid pseudopapillary neoplasm( n=10), serous cystadenoma( n=1), mucinous cystadenoma( n=1) and cystic lymphangiom( n=1). Three cases were lost in this group, the rest of patients were all accepted outpatient or telephones follow-up. There was no evidence of recurrence or metastasis during 3 to 92 months follow-up. Conclusions:The incidence of pancreatic cystic neoplasm is low in the pediatric patients. Symptomatic patients should receive surgical treatment timely. It′s safe and effective to choose the organs and functions-preserving surgical method.
10.Clinical diagnosis and treatment characteristics of pancreatic cystic neoplasms in pediatric patients: a report of 13 cases
Houfang KUANG ; Xueqiang YAN ; Xufei DUAN ; Hongqiang BIAN ; Jun YANG ; Zhenchuang ZHU
Chinese Journal of Surgery 2020;58(7):525-529
Objective:To investigate the clinical characteristics of pancreatic cystic neoplasms in pediatric patients.Methods:The clinical data of 13 patients with pancreatic cystic neoplasm at Wuhan Children′s Hospital from July 2007 to November 2019 were collected.There were 5 males and 8 females, with a mean age of 133 months(range: 9 to 170 months). Eleven patients presented with abdominal pain, vomiting, and a palpable mass. Tumors were located in the pancreatic head( n=7), body( n=2) and tail( n=4), respectively. Results:The preoperative diagnosis was confirmed by imaging examination in 11 patients, CT and MRI was significantly superior to ultrasound in the exact diagnosis of the tumor types. In this group, surgical methods mainly included pancreaticoduodenectomy( n=3), pylorus-preserving pancreatoduodenectomy( n=1), duodenum-preserving pancreas head resection( n=3), spleen-preserving distal pancreatectomy ( n=3), distal pancreatectomy plus splenectomy( n=2), and tumor enucleation( n=1). Postoperative complications including biochemical leakage( n=1), delayed gastric emptying(grade A) ( n=1), adhesive intestinal obstruction( n=1), transient elevation of platelet count( n=2), all were cured by conservative treatment. In one patient biliary leakage occurred and later developed into biliary stricture, this patient underwent the second operation 6 weeks later and recovered smoothly. All patients were diagnosed by postoperative pathology, including solid pseudopapillary neoplasm( n=10), serous cystadenoma( n=1), mucinous cystadenoma( n=1) and cystic lymphangiom( n=1). Three cases were lost in this group, the rest of patients were all accepted outpatient or telephones follow-up. There was no evidence of recurrence or metastasis during 3 to 92 months follow-up. Conclusions:The incidence of pancreatic cystic neoplasm is low in the pediatric patients. Symptomatic patients should receive surgical treatment timely. It′s safe and effective to choose the organs and functions-preserving surgical method.

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