Psychological Profiles and Quality of Life in Neuroendocrine Neoplasm Patients

327 patients with neuroendocrine neoplasms (NENs) were assessed for anxiety, depression, and quality of life using standardized questionnaires. The dataset, created by researchers from Fudan University Shanghai Cancer Center and shared via figshare in 2026, supports regression and network analysis of psychological symptoms.

Use Cases

• Identify high-risk subgroups for anxiety and depression using PHQ-9 and GAD-7 scores, stratified by cancer stage and tumor site.
• Model the complex interrelationship among anxiety, depression, and QOL dimensions via network analysis, focusing on high-centrality nodes like GAD2 ('uncontrollable worry') and PHQ9 ('suicide').
• Assess the impact of survival time, gender, and metastatic status on psychological distress scores through multivariable regression.
• Investigate bridge symptoms, such as PHQ2 ('sad mood') and the QLQ-GI.NET21 sexual function domain, for targeted psychological interventions.
• Compare quality of life, measured by the QLQ-GI.NET21 social function domain, between G3-grade and other gastrointestinal NEN patients.

Strengths

• Includes 327 patient records, a notable sample for a rare cancer study.
• Provides detailed psychological profiles using three validated instruments: PHQ-9, GAD-7, and QLQ-GI.NET21.
• Analysis reveals specific prevalence rates: 34.3% for significant depressive symptoms and 34.9% for significant anxiety.

Limitations

• Sample size of 327 patients is relatively small for robust machine learning model training.
• Geographic coverage is limited to a single cancer center in China, limiting generalizability.
• Data is contained in a 1.8 MB DOCX file, which may require extraction and structuring for computational analysis.

Provenance

Source

Fudan University Shanghai Cancer Center oncology outpatient clinic.

Collection Method

Patient recruitment and assessment using PHQ-9, GAD-7, and QLQ-GI.NET21 questionnaires.

Freshness

Last updated in April 2026, indicating recent data.

Geography

China (Shanghai).