Diagnostic accuracy of nutritional screening tools in patients with digestive system tumors: A meta-analysis and bayesian evaluation dataset

This dataset contains diagnostic performance data and statistical analysis commands used to evaluate the accuracy of various nutritional screening tools in patients with digestive system tumors. The dataset includes results from a meta-analysis and Bayesian latent class analysis, examining true positive, false positive, true negative, and false negative rates from multiple studies. Key tools assessed include the Patient-Generated Subjective Global Assessment (PG-SGA) and the Nutritional Risk Screening 2002 (NRS-2002). The data also incorporate risk of bias assessments following the QUADAS-2 framework. This dataset supports the study titled “Evaluating the accuracy of a nutritional screening tool for patients with digestive system tumors: A hierarchical Bayesian latent class meta-analysis” submitted to PLOS ONE. Accompanying Stata commands for HSROC curve plotting, publication bias testing, and Bayesian post-test probability calculations are provided to facilitate reproducibility of the ..., This dataset was collected through a systematic review and meta-analysis of studies evaluating the diagnostic accuracy of nutritional screening tools for patients with digestive system tumours. The primary tools analysed were the Patient-Generated Subjective Global Assessment (PG-SGA) and the Nutritional Risk Screening 2002 (NRS-2002). The primary tools analyzed were the Patient-Generated Subjective Global Assessment (PG-SGA) and the Nutritional Risk Screening 2002 (NRS-2002). The dataset includes data on true positives (TP), false positives (FP), false negatives (FN), and true negatives (TN) extracted from each study.
Data Collection
Study Selection
Studies were selected based on predefined inclusion and exclusion criteria. A comprehensive literature search was conducted in multiple databases, including PubMed, Embase, and the Internet. A comprehensive literature search was conducted in multiple databases, including PubMed, Embase, and the Cochrane Library, to identify studies assessin..., , # Diagnostic accuracy of nutritional screening tools in patients with digestive system tumors: A meta-analysis and bayesian evaluation dataset

\[[https://doi.org/10.5061/dryad.4mw6m90m8](https://doi.org/10.5061/dryad.4mw6m90m8)

#### **1. Dataset Overview**

This dataset was collected as part of a meta-analysis to evaluate the diagnostic accuracy of various nutritional screening tools used in patients with digestive system tumors. The primary objective was to assess the performance of tools such as the Patient-Generated Subjective Global Assessment (PG-SGA) and the Nutritional Risk Screening 2002 (NRS-2002) in diagnosing malnutrition and assessing nutritional risk in cancer patients.

The dataset includes:

* Extracted diagnostic performance data: true positives (TP), false positives (FP), true negatives (TN), and false negatives (FN).
* Risk of bias assessments using the QUADAS-2 tool.
* Bayesian latent class analysis results to further evaluate the clinical utility of these tools.
* ...