Causal links between obesity, lipids, adipokines, and cognition: a bidirectional Mendelian-randomization analysis by Meng Gong, Haichao Liu, Zhixiang Liu, Yongshen Wang, Shiyi Qi, Hong Guo, Song Jin

“…Higher genetically predicted obesity indicators (such as BMI, BFP and WHR), and lipid and adipokineslevels (such as HDL and AgRP) with reduced cognitive ability indicators (such as CF and CP). …”
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The use of radar-optical remote sensing data and geographic information system–analytical hierarchy process–multicriteria decision analysis techniques for revealing groundwater rec... by Wang Yuxia, Han Yanzhong, Guo Yujiao, Wang Jingwei, Wang Nana, Abdelkareem Mohamed

“…Moreover, the Interferometry Synthetic Aperture Radar coherence change detection image validated the predicted model and revealed areas of no-coherence areas marked in brown matched to vegetated areas and excellent zones of GWPZs. …”
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Association between the rifampicin resistance mutations and rifabutin susceptibility in Mycobacterium tuberculosis: A meta-analysis by Wenli Wang, Hongjuan Zhou, Long Cai, Tingting Yang

“…Among these, nine had high confidence (OR>10) in predicting RFB susceptibility: RpoB D435V, H445L, D435Y, D435F, S441L, L430P, H445G, S441Q, L430R. …”
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Evaluation the Efficacy of ELISA IgG, IgM and IgA Tests for Diagnosis of Helicobacter pylori by Hogir Mohammed Shukri Saadi, Ali Yahya Saeed

“…The efficacy of IgG, IgM and IgA tests was calculated compared with golden standard tests and ELISA IgG characterized by the highest values of sensitivity (75.75%), negative predictive value (36.00%) and accuracy (86.00%) but with lowest specificity (45.00%) and similar positive predictive value (81.96%) with IgM and IgA. …”
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The Relationship Between Self-Efficacy, Aerobic Fitness, and Traditional Risk Factors for Musculoskeletal Injuries in Military Training: A Prospective Cohort Study by Brian R Kreisel, Kelly M Scott, Erin M Florkiewicz, Michael S Crowell, Jamie B Morris, Paige A McHenry, Timothy M Benedict

“…However, aerobic fitness alone predicted future injury after controlling for all risk factors. …”
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Exploring predictors of the five-time sit-to-stand test based on cross-sectional findings from the Swedish National Study on Aging and Care (SNAC) by Joakim Niklasson, Cecilia Fagerström, Sofia Backåberg, Patrick Bergman, Terese Lindberg

“…Conclusion The model highlights the importance of grip strength and health-related quality of life in predicting STS time in older adults. Clinicians can use these insights to develop interventions that maintain physical function by regularly assessing and monitoring these factors. …”
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Advances in the pilot point inverse method: Où En Sommes-Nous maintenant? by White, Jeremy, Lavenue, Marsh

“…A technique that was once confined to academic realms, the PPM is now widely accepted as one of the industry pillars of inversion and uncertainty quantification for predictive groundwater modeling. Herein, we provide an update to de Marsily’s paper entitled “Four Decades of Inverse Problems in Hydrogeology” [De Marsily et al., 2000], but with a particular focus on the incredible adoption and advancement of de Marsily’s PPM and related inverse techniques over the last twenty years in the field of predictive groundwater modeling.Much has been written about the vast array of inverse techniques developed by researchers and practitioners since the 1960s. de Marsily’s PPM, like many methods developed in the late 70s and early 80s, structured its approach to parameterization to overcome many of the challenges of applying inverse methods to real world problems, namely, limited head and transmissivity data relative to the number of unknowns to be estimated, measurement errors, inferred covariance structures of the state variables, and limited computational resources. …”
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A Study on Diagnostic Accuracy of Dipsi Method Over Traditional Oral Glucose Tolerance Test Among Antenatal Women by Vijayadevi Shanmugam, Dharani Sudha Gopalraj, Shruthi Nanjudappan, Rajeswari Ravindran

“…The blood sugar values were classified, and diagnostic accuracy was measured using sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). …”
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Pre-diabetes and cardiovascular risk factors in NAFLD patients: a retrospective comparative analysis by Azam Teimouri, Zahra Ebrahimpour, Awat Feizi, Bijan Iraj, Elahe Saffari, Mojtaba Akbari, Mozhgan Karimifar

“…The concurrence of pre-diabetes and NAFLD was a predicting factor for metabolic syndrome, but not CVD events.…”
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Association between triglyceride-glucose index and clinical outcomes among patients with chronic kidney disease: a meta-analysis by Jinli Tuo, Zhong Li, Linshen Xie

“…Conclusion High TyG index predicts poor clinical outcomes and might serve as a novel prognostic indicator among CKD patients. …”
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Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

“…An occupancy case study for ten bird species with a more complex model structure showed considerable differences in occupancy parameter estimates under models accounting for or ignoring temporal variation in detection; but estimates and predictions from the latter were always within 95% confidence intervals of the former. …”
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Validation of Mortality Data Sources Compared to the National Death Index in the Healthcare Integrated Research Database by Jamal-Allial A, Sponholtz T, Vojjala SK, Paullin M, Papazian A, Eshete B, Mahmoudpour SH, Verpillat P, Beachler DC

“…At the same time, positive predictive value (PPV) was 93.4% (95% CI = 93.1%, 93.7%), negative predictive value (NPV) was 82.3% (95% CI = 81.7%, 82.9%), and when comparing each individual source, each had a high PPV but limited sensitivity.Conclusion: The composite algorithm was demonstrated to be a sensitive and precise measure of mortality, while individual database sources were accurate but had limited sensitivity.Plain Language Summary: What is known on this topic:The National Death Index (NDI) is the gold standard for ascertaining death in the US, with several limitations, such as time lag and population restrictions.What this study adds:A composite mortality algorithm of several sources of death was shown to be a sensitive and precise in death ascertainment compared to the NDI.Individual mortality sources, such as the Social Security Death Master File and online obituaries, had limited sensitivity on their own compared to the NDI.Keywords: mortality, validation, National Death Index, real word evidence, obituary, claims…”
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Postoperative Pain and Opiate Requirement is Increased Following Second-Side Surgery Among Patients Undergoing Staged Total Knee Arthroplasty by Vivek P. Chadayammuri, MD, Shuvalaxmi D. Haselton, MS, Elizabeth Diaz, PA-C, Roger H. Emerson, MD

“…Multivariate analysis identified weekly interval duration between staged procedures as the single-most predictive factor of increased pain following second-side TKA (β = −0.106; P < .01). …”
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Identification of prognostic biomarker of non-small cell lung cancer based on mitochondrial permeability transition-driven necrosis-related genes and determination of anti-tumor ef... by Zhifei Ma, Wen Chen, Aiping Zhang, Xiaokang Shen, Lin Zheng

“…This study aimed to identify MPTDN-related biomarkers for predicting prognosis and guiding treatment in NSCLC. …”
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Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathy by Shan He, Jian Ye, Yu Wang, Lu yang Xie, Si Yi Liu, Qin kai Chen

“…PPI network analysis highlighted the central role of these genes within the relevant pathways. Predictive modeling demonstrated interactions between EMAPRDEGs, 69 miRNAs, and 117 TFs. …”
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Peningkatan Akurasi Klasifikasi Algoritma C 4.5 Menggunakan Teknik Bagging pada Diagnosis Penyakit Jantung by Erwin Prasetyo, Budi Prasetiyo

“…Data mining is generally used to predict a disease originating from patient medical record data, especially heart disease. …”
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Association between Chinese visceral adiposity index and risk of new-onset hypertension in middle-aged and older adults with prediabetes: evidence from a large national cohort stud... by Lanlan Li, Lanlan Li, Linqiang Xi, Qianhui Wang

“…PurposeChinese Visceral Adiposity Index (CVAI) has been found significantly associated with hypertension in general and type-2 diabetes adults. However, the predictive value of CVAI for the incidence of hypertension in adults with prediabetes is unclear. …”
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Patient safety culture through the lenses of surgical patients: a qualitative study by Magnhild Vikan, Arvid S. Haugen, Berit T. Valeberg, Ann K. Bjørnnes, Vigdis K. S. Husby, Ellen CT. Deilkås, Stein O. Danielsen

“…The patients underscored the value of predictable plans in caregiving, tailored information, personalized care, and dialogue on equal terms. …”
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Environmental Surveillance and Transmission Risk Assessments for SARS-CoV-2 in a Fitness Center by Hongwan Li, Sripriya Nannu Shankar, Chiran T. Witanachchi, John A. Lednicky, Julia C. Loeb, Md. Mahbubul Alam, Z. Hugh Fan, Karim Mohamed, Arantzazu Eiguren-Fernandez, Chang-Yu Wu

“…Our model also predicts that a combination of high ventilation, minimal air recirculation, air filtration, and UV sterilization of recirculated air reduced the infection risk up to 94% compared to poorly ventilated facilities. …”
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The combined impact of BMI and ABSI on all-cause mortality among American adults with diabetes by Shuwu Wei, Weimin Jiang, Huijuan Zheng, Jiale Zhang, Jie Yang, Yaoxian Wang, Yang Liu, Liqiao Sun, Xinrong Li, Junping Wei, Weiwei Sun

“…Furthermore, ABSI demonstrated the highest predictive performance among individual metrics (weighted AUC = 0.653) and showed further improvement when combined with BMI (weighted AUC = 0.669). …”
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