Standardised protocol for a prospective international multicentre clinical-based evaluation of point-of-care tests for the screening of genital and extragenital chlamydial and gono... by Carlos F Cáceres, James Kiarie, Rosanna W Peeling, Magnus Unemo, Karel Blondeel, Igor Toskin, Amina Hançali, Silver Vargas, Carlos Caceres, Christian S Alvarez, Ranmini Kularatne, Ting-Ting Jiang, Soe Soe Thwin, Maddalena Cordioli, Lorenzo Gios, Massimo Mirandola, Antonella Zorzi, Christopher Barbara, Valeska Padovese, Hicham Oumzi, Rosanna Peeling, Ronald Ballard, Elsy Camey, Ron Ballard, Christian S. Alvarez, Elsy Camey de Astorga

“…The sensitivity, specificity, positive and negative predictive values for each POCT will be calculated. The study is ongoing with recruitment expected to be completed in all countries by mid-2022 to late-2022.Ethics and dissemination Prior to enrolment, this core protocol was independently peer-reviewed and approved by the research project review panel (RP2) of the WHO Department of Sexual and Reproductive Health and Research and by the WHO Ethics Review Committee (ERC). …”
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Association of different insulin resistance surrogates with all-cause and cardiovascular mortality among the population with cardiometabolic multimorbidity by Hongqiang Zhang, Zhixin Tu, Sihua Liu, Jumei Wang, Jie Shi, Xingyu Li, Rongdongqing Shi, Minghui Chen, Tong Yue, Sihui Luo, Yu Ding, Xueying Zheng

“…We employed restricted cubic splines to examine non-linear associations, and Cox models were developed on either side of the inflection point for additional investigation. Meanwhile, the predictive values of five IR surrogates were further assessed. …”
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Assessment of six insulin resistance surrogate indexes for predicting stroke incidence in Chinese middle-aged and elderly populations with abnormal glucose metabolism: a nationwide... by Luqing Jiang, Tengxiao Zhu, Wenjing Song, Ying Zhai, Yu Tang, Fengxia Ruan, Zichen Xu, Lei Li, Xia Fu, Daoqin Liu, Aidong Chen, Qiwen Wu

“…There is a lack of studies comparing the predictive values of different IR surrogate indexes for stroke risk among individuals with abnormal glucose metabolism. …”
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Feasibility of GPT-3.5 versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study on Suspected Appendicitis by Sebastian Sanduleanu, Koray Ersahin, Johannes Bremm, Narmin Talibova, Tim Damer, Merve Erdogan, Jonathan Kottlors, Lukas Goertz, Christiane Bruns, David Maintz, Nuran Abdullayev

“…Overall agreement between the GPT-3.5 output and the reference standard was assessed by means of inter-observer kappa values as well as accuracy, sensitivity, specificity, and positive and negative predictive values with the “Caret” and “irr” packages. …”
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Investigation of the «Structure – analgesic activity» Relationship Using Molecular Docking for Cyclooxygenases 1 and 2 in the Series 5-<i>N</i>-arylaminocarbonyl-6-(get)aryl-4-meth... by N. A. Buzmakova, K. V. Аndryukov, T. M. Zamaraeva, I. P. Rudakova, K. V. Podchezertseva, A. S. Goman, E. V. Avdeeva, N. V. Slepova, N. V. Dozmorova

“…(R = 0,854, F = 9,01, S = 7,73, Q2LOO = 0,53) was found, with a high value of the correlation coefficient of the predicted values ААex. with experimental values (Rpred. = 0,878) and a minimum forecast error (Spred. = 6,74).Conclusion. …”
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Comparison of Mallampati test in supine and upright positions with and without phonation in predicting difficult laryngoscopy and intubation in age groups 3-10 years. by P. Awasthi, S. Gautam, A. Malik, V. Singh, M. Kohali, S. Jafa, J. Agarwal

“…Diagnostic statistical measures were calculated: sensitivity, specificity, positive and negative predictive values. Results In this study, the ROC curve analysis found Mallampati test in upright without phonation (AUC=0.959, Z=5.68, p<0.001) is the most significant in predicting difficult laryngoscopy compared to other positions. …”
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The performance of upper arm circumference for age in diagnosing severe acute malnutrition in children aged 6 to 59 months in South Kivu, Eastern Democratic Republic of Congo: Lwir... by Gaylord Ngaboyeka, Armand Mulume, Emmanuel Lurhangire, Anouk Neven, Lydia Zigabe, Serge Balolebwami, Pacifique Mwene-Batu, Michelle Dramaix, Philippe Donnen, Ghislain Bisimwa

“…To evaluate the performance of MUACZ using the combination of weight-for-height (WHZ) and Mid-Upper Arm Circumference (MUAC) as the reference, we calculated sensitivity, specificity, positive and negative predictive values (PPV and NPV) overall. Subsequently, we stratified the results by age category, presence or absence of stunting, and presence or absence of edema. …”
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A new algorithm to assess the risk of malignancy in premenopausal patients with pelvic mass by M. S. Katsyuba, R. Sh. Khasanov, T. I. Madzhidov, G. Z. Muratova, G. A. Usmanova, A. F. Akhmetzyanova, A. Rakhimbekova, V. V. Terentyeva, G. R. Fakhrutdinova

“…For all malignant disease (all stages) together with BOT stage IC2–III the sensitivities were 90 % and 86.7 %, respectively (p = 0.69). The positive predictive values of ROCK-I and ROMA were 65.1 % and 47.4 %, respectively (p = 0.07). …”
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Prediction of drug-drug interactions in clozapine combination therapy based on physiologically based pharmacokinetic model by MOU Fan, HUANG Zhiwei, CHENG Yu, ZHAO Xue, LI Huafang, YU Shunying

“…The models′ accuracy was evaluated by comparing predicted values of the area under the curve (AUC) and peak concentration (Cmax) to observed data, using the mean percentage error (MPE) and mean absolute percentage error (MAPE) as evaluation indicators. …”
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Real-world data of cadonilimab in recurrent or metastatic cervical cancer in China: a multicentric study by Jian Chen, Haijuan Yu, Yingtao Lin, Dan Hu, Li Liu, Renliang Fan, Jianping Zou, Lele Zang, Yao Lin, Rong Lin, Dezhao Chen, Xiaoying Weng, Fenfang Shen, Shaoyu Wang, Wei Zeng, Qihua Tian, Yun Yi, Yuanfeng Chen, Jinjin Miao, Bo Zhang, Yinxia Zou, Fengming Gao, Fengming Gao, Rong Lian, Lin Yang, Yang Sun

“…Additionally, the programmed cell death 1 ligand 1 (PD-L1) was detected by immunohistochemistry to confirm its predictive values. Whole exome sequencing (WES) was also performed to investigate its potential antitumor mechanisms.ResultsAmong the 129 patients with measurable disease, the ORR was 38.8%, consisting of complete and partial responses in 8.5% and 30.2% of patients, respectively. …”
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Association between systemic inflammatory indicators on admission and mortality in critically ill patients with diabetic kidney disease based on the MIMIC-IV database: a cohort stu... by Guo-Yin Shen, Qian-Qian Wang, Si-Ang Lv, Si-Ang Lv, Si-Ang Lv, Zhuo-Deng Huang, Zhuo-Deng Huang, Ru-Lin Zhang, Ru-Lin Zhang, Jun Wu, Jun Wu, Jun Wu

“…Furthermore, ROC curves showed that NLR and SIRI had higher predictive values than SII (NLRAUC vs. SIIAUC: 0.681 vs. 0.633, P=0.006; SIRIAUC vs. …”
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Clinical diagnosis of partial or complete anterior cruciate ligament tears using patients' history elements and physical examination tests. by Simon Décary, Michel Fallaha, Sylvain Belzile, Johanne Martel-Pelletier, Jean-Pierre Pelletier, Debbie Feldman, Marie-Pierre Sylvestre, Pascal-André Vendittoli, François Desmeules

“…Diagnostic accuracy measures including sensitivity (Se), specificity (Sp), predictive values and positive and negative likelihood ratios (LR+/-) with associated 95% confidence intervals (CI) were calculated.…”
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C-reactive protein in the first 30 postoperative days and its discriminative value as a marker for postoperative infections, a multicentre cohort study by Jaap F Hamming, Nan van Geloven, Mendi S Arbous, Harry Van Goor, Wilco C Peul, Rolv-Ole Lindsetmo, Merlijn Hutteman, Jogchum J Beltman, Bart F Geerts, Mark G J de Boer, Anna Marthe van Boekel, Siri Lise van der Meijden, Bas Bredie, Pieter de Heer, Maxime TM Kummeling, Karin Ellen Veldkamp

“…Sensitivity ranged between 11% and 34%, specificity ranged between 64 and 95%, and the positive and negative predicting value ranged between 12% and 51% and 88% and 94%, respectively. …”
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The construction and evaluation of a prognostic risk score model for HCC based on MPT-related lncRNAs by Zerun Lin, Jianda Yu, Zhijian Chen, Jingyi Chen, Xiaobin Chi, Honghuan Lin, Yongbiao Chen, Yongbiao Chen

“…Furthermore, the expression level of prognostic genes was verified using the RT-qPCR method on cancerous and paracancerous tissues from HCC patients who underwent HCC resection at our hospital.ConclusionThe risk scoring model and prognostic genes in this study have been shown to possess satisfactory predictive values, which may prove beneficial for the assessment of risk and the selection of individualized chemotherapy regimens for patients with HCC. …”
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Diagnosis of tuberculosis in buffaloes in Argentina: intradermoreaction, compatible lesions and bacteriological culture by Emilia Irina Martínez, Fabiana Cipolini Galarza, Nolly María Monzón, Ana Gabriela Espasandin, José Luis Konrad, Elvira Falzoni, Soledad Barandiaran, Jimena Marfil, Marcela Martínez Vivot, Diana Elina Martínez

“…According to these results, the values of sensitivity, specificity, positive and negative predictive values were 0.89; 0.67; 0.8 and 0.8, respectively. …”
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Nutritional scores predict the prognosis of patients with pulmonary tuberculosis by Junyi Tan, Xiaofeng Shi, Yinhuan Pi, Mingque Xiang, Tianju Li

“…The Area Under the Receiver Operating Characteristic (AUROC) curve was used to quantify the predictive values of CONUT, PNI, and NPS scores for anti-TB efficacy in new-onset PTB patients, and the critical CONUT, PNI, and NPS values were determined using the Youden Index. …”
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Prediction Models for Late-Onset Preeclampsia: A Study Based on Logistic Regression, Support Vector Machine, and Extreme Gradient Boosting Models by Yangyang Zhang, Xunke Gu, Nan Yang, Yuting Xue, Lijuan Ma, Yongqing Wang, Hua Zhang, Keke Jia

“…Notably, the logistic regression and extreme gradient boosting models exhibited high negative predictive values of 99.3%, underscoring their effectiveness in accurately identifying pregnant women less likely to develop late-onset preeclampsia. …”
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Spirometric Evaluation among Individuals Working in Stone Chip Crushing Factories: A Cross-sectional Study by Sujoy Mukherjee, Parthasarathy Sinha, Debalina Sengupta, Sanhita Mukherjee

“…A significant reduction in spirometric variables was observed below the lower normal limit of percent predicted, including FVC (80-120%), FEV1 (80-120%), PEFR (>60% predicted value for men; up to 100 L/min lower than predicted for males, and 85 L/min for females), FEF25%-75% (50%-60% and up to 130% of the average), and Forced Expiratory Time (FET) (6 secs), except for the FEV1/FVC ratio (70-85%), which was higher than the normal limit. …”
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Prognostic significance of cell cycle-associated proteins p16, pRB, cyclin D1 and p53 in resected oropharyngeal carcinoma by Michaela Plath, Martina A. Broglie, Diana Förbs, Sandro J. Stoeckli, Wolfram Jochum

“…Associations between cell cycle protein expression and HR-HPV DNA status were evaluated by calculating sensitivity, specificity, predictive values, and diagnostic odds ratios (DOR). Kaplan-Meier and Cox regression analysis were applied to evaluate associations between cell cycle protein expression and patient outcome. …”
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The Association of Systemic Immune Inflammation Index (SII) and Platelet-to-Lymphocyte Ratio (PLR) on Coagulopathy and Prognosis in Patients with Traumatic Brain Injury by Chen J, Fu J, Liu J, Lu Y, Han D, Zeng J, Zou Z, Li Q, Zhang K, Wei X, Li L, Gu Z

“…Finally, receiver operating characteristic (ROC) curves indicated that the SII and PLR had certain diagnostic and predictive values for TBI-related coagulopathy [AUC(SII) = 0.666 (95% CI 0.566– 0.766), AUC(PLR) = 0.752 (95% CI 0.662– 0.842)] and prognosis [AUC(SII) = 0.657 (95% CI 0.548– 0.766), AUC(PLR) = 0.700 (95% CI 0.596– 0.805)]. …”
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