1.How to write high-quality epidemiological research paper Ⅵ.Strengthening the Reporting of Observational Studies in Epidemiology-Nutritional Epidemiology (STROBE-nut)
Chengyi DING ; Yu CAO ; Chen YANG ; Feng SUN ; Siyan ZHAN
Chinese Journal of Epidemiology 2017;38(1):121-127
Concerns have been raised about the reporting quality in nutritional epidemiology.Therefore,strengthening the reporting of observational studies in epidemiology-nutritional epidemiology (STROBE-nut) has been proposed by extending the STROBE statement to include additional recommendations on issues related to nutritional epidemiology and dietary assessment,aiming to provide more specific guidelines on how to report observational research in the field.This paper presents a brief introduction to STROBE-nut and also an explanation of the key points in the additional items,with an example illustrating the application of the checklist.
2. Developing process of guide on methodological standards in pharmacoepidemiology (T/CPHARMA 002-2019)
Yang XU ; Chengyi DING ; Lin ZHUO ; Siyan ZHAN
Chinese Journal of Epidemiology 2019;40(10):1186-1190
Pharmacoepidemiology refers to the use of epidemiological research methods in studying the application and use of drugs in large populations to evaluate the safety and efficacy of medical products. Therefore, standardized pharmacoepidemiology research is the basis of the above work. Based on systematic reviews of national and international pharmacoepidemiological methodological standards and guidelines, and in combination with Chinese medical and health practice and experts’ opinions, the Professional Committee of Pharmacoepidemiology of Chinese Pharmaceutical Association developed the group standard, guide on methodological standards in pharmacoepidemiology (T/CPHARMA 002-2019), to better guide the work of pharmacoepidemiology. The guideline was designed to provide advice and reference for pharmacoepidemiology research by government, regulatory agencies, research institutions, and pharmaceutical manufacturers in China.
3.Multicenter study on distinguishing long bone osteosarcoma from Ewing sarcoma based on CT image histogram and texture feature analysis
Jianwei LI ; Jingzhen HE ; Jiuming JIANG ; Sheng DING ; Libin XU ; Sijie HU ; Chengyi JIANG ; Li ZHANG ; Meng LI
Chinese Journal of Postgraduates of Medicine 2024;47(10):875-880
Objective:To explore the application value of histogram and texture feature analysis based on CT images in distinguishing long bone osteosarcoma (OS) from Ewing sarcoma (ES).Methods:A retrospective collection of 25 patients with long bone osteosarcoma and 25 patients with Ewing sarcoma confirmed by surgery and pathology in National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Qilu Hospital of Shandong University and Nanjing Drum Tower Hospital, Nanjing University Medical School, from March 2018 to May 2023 was conducted. All patients were randomly divided into a training set (21 cases of OS and 19 cases of ES) and a validation set (4 cases of OS and 6 cases of ES) in an 8∶2 ratio. The region of interest (ROI) on CT images to extract texture feature parameters was manually sketched. Random forest and least absolute shrinkage and selection operator (LASSO) algorithm were used for feature screening. Logistic regression (LR), random forest (RF), support vector machine (SVM) and K-nearest neighbor (KNN) classifiers were used to establish models respectively. Receiver operating characteristic (ROC)curve was drawn and area under the curve (AUC) was calculated to evaluate the diagnostic efficiency of the four models.Results:A total of 100 texture parameters were extracted from CT images, and 8 feature parameters (maximum 3D diameter, 10th percentile, kurtosis, maximum pixel intensity value, inverse normalization, grayscale level variance, long range high grayscale emphasis, and low grayscale area emphasis) were obtained through screening. Four classifiers were used to establish models, and the AUC values of the four models (LR, RF, SVM, KNN) in the validation group were 0.92, 0.79, 0.83, and 0.73, respectively. LR and SVM classifier algorithm trains models had high diagnostic efficiency, with an accuracy of 90%, sensitivity of 83%, specificity of 100%, and AUC of 92% for the LR classifier validation set; the accuracy of SVM classifier validation set was 80%, sensitivity was 67%, specificity was 100%, and AUC was 83%.Conclusions:LR and SVM models have high value in distinguishing OS and ES.
4.Mode establishment and preliminary clinical application of anterior cervical surgery in outpatient setting.
Chengyi HUANG ; Chen DING ; Tingkui WU ; Xingjin WANG ; Hao LIU
Chinese Journal of Reparative and Reconstructive Surgery 2023;37(4):463-468
OBJECTIVE:
To establish the mode of anterior cervical surgery in outpatient setting, and evaluate its preliminary effectiveness.
METHODS:
A clinical data of patients who underwent anterior cervical surgery between January 2022 and September 2022 and met the selection criteria was retrospectively analyzed. The surgeries were performed in outpatient setting ( n=35, outpatient setting group) or in inpatient setting ( n=35, inpatient setting group). There was no significant difference between the two groups ( P>0.05) in age, gender, body mass index, smoking, history of alcohol drinking, disease type, the number of surgical levels, operation mode, as well as preoperative Japanese Orthopaedic Association (JOA) score, visual analogue scale score of neck pain (VAS-neck), and visual analogue scale score of upper limb pain (VAS-arm). The operation time, intraoperative blood loss, total hospital stay, postoperative hospital stay, and hospital expenses of the two groups were recorded; JOA score, VAS-neck score, and VAS-arm score were recorded before and immediately after operation, and the differences of the above indexes between pre- and post-operation were calculated. Before discharge, the patient was asked to score satisfaction with a score of 1-10.
RESULTS:
The total hospital stay, postoperative hospital stay, and hospital expenses were significantly lower in the outpatient setting group than in the inpatient setting group ( P<0.05). The satisfaction of patients was significantly higher in the outpatient setting group than in the inpatient setting group ( P<0.05). There was no significant difference between the two groups in operation time and intraoperative blood loss ( P>0.05). The JOA score, VAS-neck score, and VAS-arm score of the two groups significantly improved at immediate after operation when compared with those before operation ( P<0.05). There was no significant difference in the improvement of the above scores between the two groups ( P>0.05). The patients were followed up (6.67±1.04) months in the outpatient setting group and (5.95±1.90) months in the inpatient setting group, with no significant difference ( t=0.089, P=0.929). No surgical complications, such as delayed hematoma, delayed infection, delayed neurological damage, and esophageal fistula, occurred in the two groups.
CONCLUSION
The safety and efficiency of anterior cervical surgery performed in outpatient setting were comparable to that performed in inpatient setting. Outpatient surgery mode can significantly shorten the postoperative hospital stay, reduce hospital expenses, and improve the patients' medical experience. The key points of the outpatient mode of anterior cervical surgery are minimizing damage, complete hemostasis, no drainage placement, and fine perioperative management.
Humans
;
Treatment Outcome
;
Cervical Vertebrae/surgery*
;
Outpatients
;
Retrospective Studies
;
Blood Loss, Surgical
;
Spinal Fusion
;
Neck Pain