NEPTUNE: Code for Predicting Patient Outcomes in Neuroendocrine Tumor Therapy

Javier Lopez-Robles provides the code and materials for reproducing analyses from a study on predicting individual patient outcomes for neuroendocrine tumors treated with [177Lu]Lu-DOTATATE. The dataset is 54.9 KB in size and was last updated on April 18, 2026. It accompanies an article under publication in The Oncologist.

Use Cases

• Reproduce statistical analyses from the associated clinical study based on the provided code.
• Validate clinical prediction models for patient outcomes in radionuclide therapy.
• Build upon the provided materials for new research on neuroendocrine tumor treatment efficacy.

Strengths

• Dataset is small at 54.9 KB, facilitating quick download and inspection.
• Includes materials for full reproducibility of the published study's results.
• Published under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is tiny (54.9 KB), indicating a very limited scope focused on code and supporting data.

Provenance

Source

Javier Lopez-Robles

Collection Method

Created to accompany a clinical research article.

Freshness

Last updated 2026-04-18 14:46:14; freshness should be verified.