ArticleCancers2022
Clinical Management of Neuroendocrine Neoplasms in Clinical Practice: A Formal Consensus Exercise.
Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Sequencing Choices and Real-World Clinical Management in Advanced Grade 2/3 GEP-NET Treatment: The Emerging Role of PRRT.Cancers · 2025Review
- Bone and muscle mass characteristics in patients with gastroenteropancreatic neuroendocrine neoplasms.Endocrine · 2025Article
- Assessing Urinary Para-Hydroxyphenylacetic Acid as a Biomarker Candidate in Neuroendocrine Neoplasms.International journal of molecular sciences · 2024Article
- PD-L1 expression, tumor-infiltrating lymphocytes, and mismatch repair proteins status in digestive neuroendocrine neoplasms: exploring their potential role as theragnostic and prognostic biomarkers.Virchows Archiv : an international journal of pathology · 2024Article
- Optimising Radioligand Therapy for Patients with Gastro-Entero-Pancreatic Neuroendocrine Tumours: Expert Opinion from an Italian Multidisciplinary Group.Advances in therapy · 2024Review
- Article
- PET Criteria by Cancer Type from Imaging Interpretation to Treatment Response Assessment: Beyond FDG PET Score.Life (Basel, Switzerland) · 2023Review
- Peptide Receptor Radionuclide Therapy.The Journal of clinical endocrinology and metabolism · 2022Article
- Endocrine and Neuroendocrine Tumors: A Special Issue.Cancers · 2022Article
- Ga-68-Edotreotide Positron Emission Tomography/Computed Tomography Somatostatin Receptors Tumor Volume Predicts Outcome in Patients With Primary Gastroenteropancreatic Neuroendocrine Tumors.Cancer control : journal of the Moffitt Cancer CenterArticle
- Ga-68-Edotreotide PET/CT SSTR Total Tumor Volume as a Predictor of Outcome in Patients With Metastatic Gastroenteropancreatic Neuroendocrine Tumors.Cancer control : journal of the Moffitt Cancer CenterObservational
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many treatment approaches are now available for neuroendocrine neoplasms (NENs). While several societies have issued guidelines for diagnosis and treatment of NENs, there are still areas of controversy for which there is limited guidance. Expert opinion can thus be of support where firm recommendations are lacking. A group of experts met to formulate 14 statements relative to diagnosis and treatment of NENs and presented herein. The nominal group and estimate-talk-estimate techniques were used. The statements covered a broad range of topics from tools for diagnosis to follow-up, evaluation of response, treatment efficacy, therapeutic sequence, and watchful waiting. Initial prognostic characterization should be based on clinical information as well as histopathological analysis and morphological and functional imaging. It is also crucial to optimize RLT for patients with a NEN starting from accurate characterization of the patient and disease. Follow-up should be patient/tumor tailored with a shared plan about timing and type of imaging procedures to use to avoid safety issues. It is also stressed that patient-reported outcomes should receive greater attention, and that a multidisciplinary approach should be mandatory. Due to the clinical heterogeneity and relative lack of definitive evidence for NENs, personalization of diagnostic-therapeutic work-up is crucial.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.