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Background: We aimed to provide an overview of all diagnostic tools developed to diagnose appendicitis with their reported accuracy and to further characterize these including their need for diagnostic equipment. Methods: This scoping review followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews and a protocol was registered at Open Science Framework. We performed a systematic literature search in PubMed, Embase, China National Knowledge Infrastructure, Índice Bibliográfico Espanhol de Ciências da Saúde, and Latin American and Caribbean Health Sciences Literature. We included original articles of all languages with the purpose to derive an accessible diagnostic tool. We extracted data regarding study- and diagnostic tool characteristics, and the accuracy of each diagnostic tool. Results: The search led to 6419 records, where 74 studies were included, yielding 82 diagnostic tools reported in seven different languages. Among these tools, 35% included patient characteristics, 85% symptoms, 93% physical examinations, 37% vital signs, 78% laboratory values, and 16% imaging. Among the diagnostic tools, 35% relied on a medical doctor/surgeon with access to a laboratory, and six diagnostic tools did not require a bedside medical doctor/surgeon. The median positive predictive value, negative predictive value, sensitivity, and specificity across diagnostic tools were 91%, 94%, 89%, and 86%, respectively. Conclusions: We identified 82 diagnostic tools that most frequently were based on symptoms and physical examinations. Most diagnostic tools relied on a medical doctor/surgeon with access to laboratory values. The accuracy was high across the diagnostic tools. [ABSTRACT FROM AUTHOR]

To evaluate the performance of GeneXpert MTB/RIF (Xpert) for tuberculous meningitis (TBM) and to identify additional indicators to improve diagnostic accuracy. An accuracy study was conducted. During 2011-2019, 243 TBM with 140 non-TBM in three TB-designated facilities in China were enrolled. Microbiological evidence of M tuberculosis (Mtb) in CSF was used as the reference. Additional indicators were identified by Boosted-Classification and Regression Tree (CART), the improvement of diagnostic performance was evaluated by ROC. The diagnostic sensitivity of Xpert was 71.1 % for definite TBM, and 5.5 % for probable/possible TBM. The positive rate of Xpert was improved with cerebrospinal fluid (CSF) increasing volume and was associated with CSF color (yellow). The additional indicators obtained by CART were CSF lactate and glucose and increased the sensitivity to 96.1 % (definite TBM) and 84.6 % (probable/possible TBM). The diagnostic performance of Xpert was satisfactory in definite TBM and would significantly be improved by the additional use of CSF lactate and glucose. [ABSTRACT FROM AUTHOR]

Schistosomiasis japonica caused by the trematode flukes of Schistosoma japonicum was one of the most grievous infectious diseases in China in the mid-20th century, while its elimination has been placed on the agenda of the national strategic plan of healthy China 2030 after 70 years of continuous control campaigns. Diagnostic tools play a pivotal role in warfare against schistosomiasis but must adapt to the endemic status and objectives of activities. With the decrease of prevalence and infection intensity of schistosomiasis in human beings and livestock, optimal methodologies with high sensitivity and absolute specificity are needed for the detection of asymptomatic cases or light infections, as well as disease surveillance to verify elimination. In comparison with the parasitological methods with relatively low sensitivity and serological techniques lacking specificity, which both had been widely used in previous control stages, the molecular detection methods based on the amplification of promising genes of the schistosome genome may pick up the baton to assist the eventual aim of elimination. In this article, we reviewed the developed molecular methods for detecting S. japonicum infection and their application in schistosomiasis japonica diagnosis. Concurrently, we also analyzed the chances and challenges of molecular tools to the field application process in China. [ABSTRACT FROM AUTHOR]

Aim The aim of this study was to investigate the accuracy of cone-beam computed tomography ( CBCT) in assessing maxillary molar furcation involvement ( FI). Materials and Methods Fifteen patients with generalized chronic periodontitis after initial therapy were recruited. CBCT was performed in maxillary molars with probing pocket depths of ≥6 mm and advanced FI, and CBCT images were analysed. Furcation surgery was performed in 20 maxillary molars. Lastly, intra-surgical FI assessments were compared with CBCT-based data. Results Intra-surgical findings confirmed 82.4% of the CBCT data, with a weighted kappa of 0.917. The agreement between both assessments was the highest in buccal furcation entrances, followed by distopalatal and mesiopalatal furcation entrances. Of the four parameters tested of detailed root anatomy and furcation morphology, the mean length of the root trunk and the width of the furcation entrance revealed by CBCT were consistent with their respective intra-surgical values ( p > 0.05). Horizontal bone loss and vertical bone loss were underestimated by CBCT relative to their respective intra-surgical classifications ( p ≤ 0.05). Conclusions Cone-beam computed tomography images demonstrate a high accuracy in assessing the loss of periodontal tissue of the FI and root morphologies in maxillary molars. [ABSTRACT FROM AUTHOR]