Health-Related Quality of Life (HRQoL) in Neuroendocrine Tumors: A Systematic Review.
Rohit GosainMedhavi GuptaArya Mariam RoyJonathan R StrosbergKathryn M GlaserRenuka IyerPublished in: Cancers (2022)
Therapeutic advancements in neuroendocrine tumors (NETs) have improved survival outcomes. This study aims to review the impact of the current therapeutics on health-related quality of life (HRQoL) in NET patients. A literature review was performed utilizing PubMed, The Cochrane Library, and EMBASE, using the keywords "Carcinoid", "Neuroendocrine tumor", "NET", "Quality of life", "Chemotherapy", "Chemoembolization", "Radiofrequency ablation", "Peptide receptor radionucleotide therapy", "PRRT", "Surgery", "Everolimus", "Octreotide", "Lanreotide", "Sunitinib", and "Somatostatin analog". Letters, editorials, narrative reviews, case reports, and studies not in English were excluded. Out of 2375 publications, 61 studies met our inclusion criteria. The commonly used instruments were EORTC QLQ-C30, FACT G, and EORTC- QLQ GI.NET-21. HRQoL was assessed in all pivotal trials that led to approvals of systemic therapies. All systemic therapies showed no worsening in HRQoL. The NETTER-1 study was the only study to show a statistically significant improvement in HRQoL in several domains. The trial examining sunitinib versus placebo in pancreatic NETs showed no change in QoL, except for worsening of diarrhea. In addition to clinical outcomes, patient-reported outcomes are a key element in making appropriate treatment decisions. HRQoL data should be readily provided to patients to assist in shared decision-making.
Keyphrases
- neuroendocrine tumors
- patient reported outcomes
- end stage renal disease
- radiofrequency ablation
- ejection fraction
- chronic kidney disease
- newly diagnosed
- clinical trial
- minimally invasive
- peritoneal dialysis
- small molecule
- stem cells
- bone marrow
- radiation therapy
- renal cell carcinoma
- atrial fibrillation
- phase iii
- big data
- machine learning
- rectal cancer
- percutaneous coronary intervention
- deep learning
- coronary artery bypass