ObjectiveTo understand the prevalence of anorectal diseases in the elderly in the community, and to evaluate the role of electronic rectosigmoidoscope in the screening of anorectal diseases.MethodThe resident population aged 60–74 in the Xichang’an Street Area of Xicheng District of Beijing were collected to complete the initial screening by filling in the risk factor assessment questionnaire, and who were classified as the high-risk with positive initial screening were admitted to the diagnostic re-screening by electronic rectosigmoidoscope.ResultsThere were 4 782 screening subjects, while 4 347 people actually participated in the initial screening, and 2 997 people were positive (positive rate was 68.9%). Among them, 2 312 participated in the electronic rectosigmoidoscope screening, and the compliance rate was 77.1%. A total of 2 275 patients with various anorectal diseases were detected by electronic rectosigmoidoscope, 1 311 (56.7%) of whom were hemorrhoids, 458 (19.8%) were rectal polyps, 154 (6.7%) were anal papillary hypertrophy, 147 (6.4%) were proctitis, 103 (4.4%) were anal fissure, 52 (2.2%) were anal fistula , 33 (1.4%) were rectal melanoma , and 17 (0.7%) were suspected rectal cancer. The detection rates of rectal polyps, proctitis, and anal fistula in the men were higher than those in the women (P<0.05), while the detection rates of hemorrhoids, anal papilla hypertrophy, anal fissure, and rectal melanosis in the women were higher than those in the men (P<0.05).ConclusionsAs a screening tool, electronic rectosigmoidoscope has the characteristics of simple operation, good compliance of the subject, and high compliance rate for re-screening. It is suitable for large-scale screening of anorectal diseases for elderly residents in the community.
ObjectiveTo discuss the diagnosis, treatment and clinical characteristics of open vascular injuries in the lower extremities and summarize our experiences. Methods To review the records of patients sustained an open injuries to the lower extremities vessel between 1999 and 2001 retrospectively. The clinical, operative findings and prognosis were collected and studied.ResultsAll 25 patients received emergency surgical treatment to repair the vascular injuries. It included 18 with isolated arterial injuries and 7 with combined arteriovenous injuries. Saphenous vein grafts were placed in 5 patients and vascular prostheses were placed in 5 patients with arterial injuries.Twentyfour patients were cured (96%), and 1 graft obstruction occurred (could not be contacted 40 days after operation). ConclusionOpen vascular injuries in the lower extremities should be diagnosed and treated as early as possible. The aim of the operation is to repair or reconstruct the injured vessel and to lower the mortality and morbidity rate.
Selective non-reporting and publication bias of study results threaten the validity of systematic reviews and meta-analyses, thus affect clinical decision making. There are no rigorous methods to evaluate the risk of bias in network meta-analyses currently. This paper introduces the main contents of ROB-MEN (risk of bias due to missing evidence in network meta-analysis), including tables of the tool, operation process and signal questions. The pairwise comparisons table and the ROB-MEN table are the tool’s core. The ROB-MEN tool can be applied to very large and complex networks including lots of interventions to avoid time-consuming and labor-intensive process, and it has the advantages of clear logic, complete details and good applicability. It is the first tool used to evaluate the risk of bias due to missing evidence in network meta-analysis and is useful to researchers, thus being worth popularizing and applying.
With the development of artificial intelligence, machine learning has been widely used in diagnosis of diseases. It is crucial to conduct diagnostic test accuracy studies and evaluate the performance of models reasonably to improve the accuracy of diagnosis. For machine learning-based diagnostic test accuracy studies, this paper introduces the principles of study design in the aspects of target conditions, selection of participants, diagnostic tests, reference standards and ethics.
This paper introduces the main contents of ROB-ME (Risk Of Bias due to Missing Evidence), including backgrounds, scope of the tool, signal questions and the operation process. The ROB-ME tool has the advantages of clear logic, complete details, simple operation and good applicability. The ROB-ME tool offers considerable advantages for assessing the risk of non-reporting biases and will be useful to researchers, thus being worth popularizing and applying.
Machine learning-based diagnostic tests have certain differences of measurement indicators with traditional diagnostic tests. In this paper, we elaborate the definitions, calculation methods and statistical inferences of common measurement indicators of machine learning-based diagnosis models in detail. We hope that this paper will be helpful for clinical researchers to better evaluate machine learning diagnostic models.
This paper summarizes the methodological quality assessment tools of artificial intelligence-based diagnostic test accuracy studies, and introduces QUADAS-AI and modified QUADAS-2. Moreover, this paper summarizes reporting guidelines of these studies as well, and then introduces specific reporting standards in AI-centred research, and checklist for AI in dental research.
This paper summarizes the methodological quality assessment tools of artificial intelligence-based diagnostic test accuracy studies, and introduces QUADAS-AI and modified QUADAS-2. Moreover, this paper summarizes reporting guidelines of these studies as well, and then introduces specific reporting standards in AI-centred research, and checklist for AI in dental research.