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Academic Journal

Development of Nomograms to Predict the Probability of Recurrence at Specific Sites in Patients with Cutaneous Melanoma.

Authors : Janka, Eszter Anna^1,2 (AUTHOR); Szabó, Imre Lőrinc^1,2 (AUTHOR); Toka-Farkas, Tünde¹ (AUTHOR)

Source: Cancers. Sep2025, Vol. 17 Issue 18, p3080. 21p.

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Academic Journal

Prognostic value of prostate volume and nomograms for predicting recurrence in patients with non-muscle invasive bladder cancer: a multi-institutional study.

Authors : Hu, Dichao¹ (AUTHOR); Liu, He¹ (AUTHOR); Li, Mingyang¹ (AUTHOR)

Source: BMC Cancer. 11/5/2025, Vol. 25 Issue 1, p1-12. 12p.

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Pediatric Echocardiographic Nomograms: Twenty Years of Advances—Do We Now Have a Complete and Reliable Tool, or Are Gaps Still Present? An Up-to-Date Review.

Authors : Cantinotti, Massimiliano¹ (AUTHOR); Marchese, Pietro^1,2 (AUTHOR); Capponi, Guglielmo¹ (AUTHOR)

Source: Journal of Clinical Medicine. 8/1/2025, Vol. 14 Issue 15, p5215. 22p.

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Development and internal validation of the PROFIT and POSITIVE prognostic nomograms for patients undergoing VA-ECMO therapy.

Authors : Qian, Shirui¹ (AUTHOR); Li, Ping¹ (AUTHOR); Hou, Xiaotong² (AUTHOR)

Source: Scientific Reports. 7/1/2025, Vol. 15 Issue 1, p1-12. 12p.

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Nomograms Combining Three Different Lymph Node Classifications to Predict the Survival of Tonsillar Squamous Cell Carcinoma Patients Undergoing Surgical Treatment.

Authors : Dilong Yu^1,2; Zhuo Tan^2,3,4; Chuanming Zheng^2,3,4

Source: Journal of Cancer. 2025, Vol. 16 Issue 12, p3599-3614. 16p.

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Development and validation of nomograms including individual- and area-level variables to predict risk of fatal and non-fatal cardiovascular diseases among Russian population.

Authors : Zelenina, Anastasia A.¹ (AUTHOR) ; Shalnova, Svetlana A.¹ (AUTHOR); Drapkina, Oksana M.² (AUTHOR)

Source: PLoS ONE. 6/2/2025, Vol. 20 Issue 6, p1-28. 28p.

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Academic Journal

Development and Validation of Dynamic Nomograms for Predicting Delivery Mode and Neonatal Intensive Care Unit Admission in Intrapartum Fever: A Retrospective Cohort Study.

Authors : Ni, Jianzhi (AUTHOR); Zhang, Dan (AUTHOR); Ding, Yuling (AUTHOR)

Source: International Journal of Women's Health. Sep2025, Vol. 17, p3385-3400. 16p.

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Academic Journal

CT引导下经皮肺穿刺活检术后气胸风险的预测模型.

Authors : 韩蕃颉¹; 王海滨¹; 李淋淋¹

Source: Journal of Practical Medicine / Shiyong Yixue Zazhi. 8/10/2025, Vol. 41 Issue 15, p2412-2417. 6p.

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Academic Journal

Development and validation of biopsy free nomograms for predicting clinically significant prostate cancer in men with PI-RADS 4 and 5 lesions.

Authors : Wang, Junxin¹ (AUTHOR); Chen, Mingzhe^1,2 (AUTHOR); Guo, Shanqi³ (AUTHOR)

Source: Scientific Reports. 3/3/2025, Vol. 15 Issue 1, p1-10. 10p.

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Academic Journal

Risk factors, prognostic factors, and nomograms for liver metastasis in stage Tis-T2 colorectal cancer patients from a population-based study.

Authors : Lin, Zejin^1,2 (AUTHOR); Lin, Zeyu^1,2 (AUTHOR); Yi, Taijun^1,2 (AUTHOR)

Source: Scientific Reports. 4/28/2025, Vol. 15 Issue 1, p1-15. 15p.

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Development of Nomograms to Predict the Probability of Recurrence at Specific Sites in Patients with Cutaneous Melanoma.

Prognostic value of prostate volume and nomograms for predicting recurrence in patients with non-muscle invasive bladder cancer: a multi-institutional study.

Pediatric Echocardiographic Nomograms: Twenty Years of Advances—Do We Now Have a Complete and Reliable Tool, or Are Gaps Still Present? An Up-to-Date Review.

Development and internal validation of the PROFIT and POSITIVE prognostic nomograms for patients undergoing VA-ECMO therapy.

Nomograms Combining Three Different Lymph Node Classifications to Predict the Survival of Tonsillar Squamous Cell Carcinoma Patients Undergoing Surgical Treatment.

Development and validation of nomograms including individual- and area-level variables to predict risk of fatal and non-fatal cardiovascular diseases among Russian population.

Development and Validation of Dynamic Nomograms for Predicting Delivery Mode and Neonatal Intensive Care Unit Admission in Intrapartum Fever: A Retrospective Cohort Study.

CT引导下经皮肺穿刺活检术后气胸风险的预测模型.

Development and validation of biopsy free nomograms for predicting clinically significant prostate cancer in men with PI-RADS 4 and 5 lesions.

Risk factors, prognostic factors, and nomograms for liver metastasis in stage Tis-T2 colorectal cancer patients from a population-based study.

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