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Dataset Information

Nomogram for predicting opioid-induced nausea and vomiting for cancer pain patients.


ABSTRACT:

Objective

Opioid-induced nausea and vomiting are frequently observed as an adverse effect in the treatment of cancer-related pain. The factors that affect OINV in cancer patients remain unclear. In this study, we developed a nomogram for predicting the occurrence of OINV in this population using retrospective clinical data.

Methods

We collected data from 416 cancer pain patients, 70% of whom used the training set to analyze demographic and clinical variables. We used multivariate logistic regression to identify significant factors associated with OINV. Then, we construct a prediction nomogram. The validation set comprises the remaining 30%. The reliability of the nomogram is evaluated by bootstrap resampling.

Results

Using multivariate logistic regression, we identifi

SUBMITTER: Kong L 

PROVIDER: S-EPMC10620250 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature