Evidence map›Paper›PMID 28864611›Full record

ReviewJournal of nuclear medicine : official publication, Society of Nuclear Medicine2017

Norepinephrine Transporter as a Target for Imaging and Therapy.

Neeta Pandit-Taskar, Shakeel Modak

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.

  1. Pooled it
  2. [European journal of nuclear medicine and molecular imaging · 2023
    Trial
  3. Review
  4. Review
  5. Lesion Analysis ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  6. Review
  7. Production ofEJNMMI radiopharmacy and chemistry · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. [Frontiers in oncology · 2025
    Article
  12. Article
  13. Review
  14. Recent advances in the development ofAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
    Review
  15. Review
  16. [European journal of nuclear medicine and molecular imaging · 2024
    Article
  17. Review
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Neeta Pandit-TaskarMemorial Sloan Kettering Cancer Center, New York, New York pandit-n@mskcc.org.
Shakeel ModakMemorial Sloan Kettering Cancer Center, New York, New York.
Memorial Sloan Kettering Cancer Center · US

Funding

A First-in-Human Pilot Study of 18F-MFBG Imaging for Evaluation of NeuroblastomaR01CA204093 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI PANDIT TASKAR, NEETA · 2017 to 2018
$784k
NCI NIH HHS R01 CA204093
6 · The paper itself

Abstract

The norepinephrine transporter (NET) is essential for norepinephrine uptake at the synaptic terminals and adrenal chromaffin cells. In neuroendocrine tumors, NET can be targeted for imaging as well as therapy. One of the most widely used theranostic agents targeting NET is metaiodobenzylguanidine (MIBG), a guanethidine analog of norepinephrine.

Indexed as

AnimalsDiagnostic ImagingHumansMolecular Targeted TherapyNeoplasmsNorepinephrine Plasma Membrane Transport ProteinsRadiotherapy DosageNorepinephrine Plasma Membrane Transport Proteins18F-MFBGMIBGneuroblastomaneuroendocrinenorepinephrine transporter

Identifiers

PMID28864611
PMCPMC5577620
OpenAlexW2751932890

What OpenQuestion holds

Textmetadata
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.