Evidence map›Paper›PMID 28435455›Full record

ArticleTheranostics2017

The NETPET Score: Combining FDG and Somatostatin Receptor Imaging for Optimal Management of Patients with Metastatic Well-Differentiated Neuroendocrine Tumors.

Elif Hindié

Open access · goldAbstract readEditorialComment
In one paragraph

Article in Theranostics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 60 citations in OpenAlex.

  1. Prognostic value of the dual-tracer PET score (NETPET) in neuroendocrine tumors with [European journal of nuclear medicine and molecular imaging · 2026
    Article
  2. Dual‑targeted radioligand therapy with [European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Clinical research analysis of [European journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Article
  5. [Imaging of pancreatic neuroendocrine tumors].Radiologie (Heidelberg, Germany) · 2024
    Article
  6. Review
  7. Review
  8. Article
  9. PET/MRI imaging in neuroendocrine neoplasm.Abdominal radiology (New York) · 2023
    Review
  10. Diagnostic and prognostic value ofArchives of medical science : AMS · 2023
    Article
  11. Review
  12. Review
  13. Role of CombinedDiagnostics (Basel, Switzerland) · 2022
    Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Combination Therapies with PRRT.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Elif HindiéService de Médecine Nucléaire, CHU de Bordeaux, LabEx TRAIL, Université de Bordeaux, France.
Centre Hospitalier Universitaire de Bordeaux · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroendocrine tumors (NET) are often metastatic at the time of diagnosis. Metastatic well-differentiated (G1/G2) NET may display a wide range of behaviors, ranging from indolent to aggressive, even within apparently homogeneous categories. Thus, selecting the optimal treatment strategy is a challenging task. Somatostatin receptor imaging (SRI) is the standard molecular imaging technique for well-differentiated NET. When performed with

Indexed as

Neuroendocrine TumorsOrganometallic CompoundsFluorodeoxyglucose F18HumansPositron-Emission TomographyPositron Emission Tomography Computed TomographyPrognosisProspective StudiesReceptors, SomatostatinFluorodeoxyglucose F18Organometallic CompoundsReceptors, Somatostatin177Lu-DOTATATE.18F-FDG68Ga-DOTANOC68Ga-DOTATATE68Ga-DOTATOCGallium-68GEP-NETNETNeuroendocrine tumorsPET/CTPrognosisRadionuclide therapySomatostatin analogsSomatostatin receptor

Identifiers

PMID28435455
PMCPMC5399583
OpenAlexW2596879202

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.