Development of a clinical prediction model for sensitivity to combination therapy of Bcl-2 inhibitors and hypomethylating agents in elderly/unfit patients with acute myeloid leukem... by Yufeng Du, Chunhong Li, Yonghong Chen, Fang Xie, Jinsong Yan

“…The performance of the nomogram was evaluated using a receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis (DCA). Results This study included 209 patients with AML. …”
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Viral and atypical respiratory co‐infections in COVID‐19: a systematic review and meta‐analysis by Bennett Davis, Ava N. Rothrock, Sarah Swetland, Halle Andris, Phil Davis, Steven G. Rothrock

“…Publication bias was evaluated using funnel plot inspection, Begg's correlation, and Egger's test. …”
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Development and validation of a nomogram for predicting the risk of intestinal barrier dysfunction in patients after major abdominal surgery: a prospective cohort study by Qinghua Zou, Ruotian Wang, Yunfang Dong, Weiming Li, Guoyun Zhao, Zhaochuan Yin, Manqing Hu, Yijun Li, Qingwen Xu, Lixing Wang, Kaiwen Shi, Hongyuan Liu, Yichen Hu, Yuanpei Zhao

“…Based on these factors, the nomogram was constructed to predict IBDF occurrence. The area under the receiver operating characteristic curve (AUC), calibration plot, decision curve analysis (DCA), and clinical impact curve (CIC) were used to evaluate the predictive performance and clinical utility of the model.ResultsIn the training and validation cohorts, 28.3 and 26.9% of patients experienced IBDF, respectively. …”
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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

“…Individual risk assessment was performed using SHAP plots and waterfall plot analysis.ConclusionsOur research demonstrates the potential of ML methods in the early prediction of HF risk in AMI patients. …”
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The causal impact of genetically predicted inflammatory bowel disease on extraintestinal manifestations: a mendelian randomization study by Xingcan Fan, Anqi He, Kaiyu Li, Maorun Zhang, Qi Zhang, Wanyi Xiao, Gang Liu

“…A sensitivity analysis was conducted using the Cochran Q statistic, a funnel plot, the MR-Egger intercept, and a leave-one-out approach. …”
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Correlation study and full management of metabolic syndrome and sperm DNA fragmentation index, a regional multicentre prospective long term follow-up study from Anhui, China by Dongsheng Ma, Jianhong Xi

“…Univariate-multivariate logistic regression analyses were performed to build a predictive model using R Programming Language (4.42), and to plot the Nomogram, Calibration Curve, Decision Curve Analysis (DCA) Curve, and Clinical impact curve (CIC) to assess the consistency between the predicted probability of the model and the actual occurrence probability, as well as to evaluate the practicality and applicability in clinical decision-making.ResultsIntergroup comparison between the observation and control groups in this study showed no statistical difference between the two groups in terms of baseline information and fertility assessment (P > 0.05). …”
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Mineralogical and geochemical studies of shales from Kopili Formation, Dima Hasao district Assam, North East India: Insights into diagenesis, deposition and provenance by Amit Tiwari, S.L. Memory, Joe Joseph, R.R. Meshram

“…The presence of goethite-rich phosphatic nodules, secondary precipitation within the fissile planes of shale and the occurrence of anatase, talc, smectite and chlorite suggest diagenesis. …”
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Venous excess ultrasound score association with acute kidney injury in critically ill patients: a systematic review and meta-analysis of observational studies by Rafael Hortêncio Melo, Luciana Gioli-Pereira, Edielle Melo, Philippe Rola

“…Publication bias was assessed via funnel plot and heterogeneity was examined with I2 statistics. …”
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An Analysis of the Darkest Part of the Forest by Holy Black in Light of Wendy B. Faris’ Model of Narrative Techniques in Magical Realism by Bushra Munawar, Hina Rafique, Huma Amin

“…The plot revolves around the horned boy, a faerie prince, faeries, their encounter with human beings, magic, spell, and pastoral settings. …”
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Prediction of myocardial ischemia–reperfusion injury post-PCI: role of sST2 levels in STEMI patients by Wenjing Che, Yubin Jin, Shumin Chang, Yihan Sun, Aijie Hou, Chengfu Wang

“…Serum sST2 was recognized as a standalone risk factor contributing to the occurrence of MIRI in STEMI patients who are undergoing PCI (P < 0.001). …”
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Development and assessment of an early diagnostic approach for painful diabetic peripheral neuropathy using basic clinical and laboratory parameters by Yue Yang, Lu Liu, Hui-Hui Wang, Yan Lu, Jiang-Ping Li, Ping Liu, Zi-Cheng Hu, Xiao Yang

“…The discriminatory power and calibration of the model were assessed using receiver operator characteristic (ROC) curve analysis and calibration plots. For validation, the model was tested on an independent group of 350 patients with DPN. …”
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The Relationship between Maternal Perinatal Depression and Offspring Depression: A Meta-Analysis by Qing Yang, Wei Mi, Fang Su, Wei Song

“…Publication bias was evaluated with a funnel plot. Results: Totally, 12 studies were included. …”
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Using Artificial Intelligence to Detect Risk of Family Violence: Protocol for a Systematic Review and Meta-Analysis by Kathleen de Boer, Jessica L Mackelprang, Maja Nedeljkovic, Denny Meyer, Ravi Iyer

“…Results of the meta-analysis will be summarized in tabular form and using a forest plot. ConclusionsThe findings from this study will clarify the state of the literature on the accuracy of machine learning models to identify individuals who are at high risk of perpetuating family violence. …”
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Kidney function and cognitive impairment: a systematic review and meta-analysis by Xiaohua Pei, Nazia Begum Bakerally, Zhan Wang, Yun Bo, Yao Ma, Zhenzhu Yong, Sizhu Zhu, Fei Gao, Zhu Bei, Weihong Zhao

“…Thirteen potential risk factors were ascertained and analyzed. In the forest-plot analysis, T2DM, cardiovascular diseases, cerebrovascular diseases, and lower education emerged as strong predictors of risk, with odds ratios of 1.55, 1.63, 1.95, and 2.59, respectively. …”
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Knowledge of obstetric fistula and contributing factors among reproductive-age women in Ethiopia: a systematic review and meta-analysisAJOG Global Reports at a Glance by Agerie Mengistie Zeleke, Worku Chekol Tassew, Getnet Azanaw Takele, Yosef Aragaw Gonete, Yeshiwas Ayale Ferede

“…A random-effects meta-analysis was performed with STATA version 11 software to estimate the knowledge, and the results are reported in a forest plot. Simple charts and tables were used to summarize the evidence for the pooled level of knowledge and its determinants. …”
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LYN and CYBB are pivotal immune and inflammatory genes as diagnostic biomarkers in recurrent spontaneous abortion by Zhuna Wu, Qiuya Lin, Zhimei Zhou, Yajing Xie, Li Huang, Liying Sheng, Qirong Shi, Yumin Ke

“…The performance of the predictive model was evaluated using a Nomo plot. We further confirmed the expression levels and diagnostic value of key genes by performing immunohistochemistry (IHC) in clinical tissue samples. …”
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Effectiveness of advance care planning programmes in improving end-of-life outcomes for individuals with dementia and their caregivers in nursing homes: protocol for a systematic r... by Chih-Cheng Lai, Yu-Tai Lo, Yi-Jhen Chen, Jheng-Yan Wu

“…Publication bias will be assessed using a funnel plot and Egger’s test to detect any asymmetry in the distribution of effect sizes across studies. …”
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Using Multilayer Perceptron to Predict Forest Fires in Jiangxi Province, Southeast China by Keke Gao, Zhongke Feng, Shan Wang

“…The forest fire occurrence prediction model is a very useful tool for preventing and extinguishing forest fires. …”
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Sarcopenia prediction model based on machine learning and SHAP values for community-based older adults with cardiovascular disease in China by Peil Yu, Xinxin Zhang, Guoxuan Sun, Ping Zeng, Ping Zeng, Ping Zeng, Chu Zheng, Chu Zheng, Chu Zheng, Ke Wang, Ke Wang, Ke Wang

“…Finally, the Shapley’s Additive Explanatory Plot (SHAP) illustrates how each feature level affects the predicted probability of SP.ResultsWe ultimately included 1,088 CD older adults, 18.61% of whom reported SP. …”
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Efficacy and safety of abaloparatide, denosumab, teriparatide, oral bisphosphonates, and intravenous bisphosphonates in the treatment of male osteoporosis: a systematic review and... by Liangshi Chen, Bomei Ji, Cong Xia

“…Although TER performs best in reducing the occurrence of all adverse events, its efficacy in some BMD targets (such as total hip BMD) is relatively lower. …”
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