Predicted versus actual pain intensity 3 months after ceasing IT therapy.

Figshare2015-12-02 更新2026-04-29 收录

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Predicted versus actual pain intensity 3 months after ceasing IT therapy.

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2015-12-02

Table_2_v1_Development and Validation of a Clinical Prediction Model for Complicated Appendicitis in the Elderly.doc

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BackgroundFor elderly patients with mild clinical symptoms of uncomplicated appendicitis(UA), non-surgical treatment has been shown to be feasible, whereas emergency surgical treatment is recommended

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Multivariate linear regression model for predicting the log-transformed post-transplant serum creatinine of the recipient based on potential factors related to graft function.

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PurposeTo improve clinical decision-making, we developed a predictive model to identify metastatic colorectal cancer (mCRC) patients who might benefit from primary tumor resection (PTR). Patients and

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BackgroundOur study aimed to develop a nomogram incorporating cytokeratin fragment antigen 21–1 (CYFRA21–1) to assist in differentiating between patients with intrahepatic cholangiocarcinoma (ICC) and

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Predicted versus actual pain intensity 3 months after ceasing IT therapy.

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