Evidence map›Paper›PMID 29042793›Full record

ReviewOncoTargets and therapy2017

Theranostics in nuclear medicine practice.

Anna Yordanova, Elisabeth Eppard, Stefan Kürpig, Ralph A Bundschuh, Stefan Schönberger, Maria Gonzalez-Carmona, Georg Feldmann, Hojjat Ahmadzadehfar, Markus Essler

Abstract readReview
In one paragraph

Review in OncoTargets and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
–field-weighted citation impact
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

93 citing papers in PubMed.

  1. Advances in GPCR-Targeted PET Radiotracer Patents (2020-2025).Pharmaceuticals (Basel, Switzerland) · 2026
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  6. EJNMMI research · 2026
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  10. Synthesis of DOTA-BasedMethods and protocols · 2025
    Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review

33 more citing papers are in PubMed but not listed here.

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

9 authors.

Anna YordanovaDepartment of Nuclear Medicine (Clinical Nuclear Medicine).
Elisabeth EppardDepartment of Nuclear Medicine (Radiochemistry).
Stefan KürpigDepartment of Nuclear Medicine (Radiochemistry).
Ralph A BundschuhDepartment of Nuclear Medicine (Medical Physics and PET).
Stefan SchönbergerDepartment of Paediatric Haematology and Oncology.
Maria Gonzalez-CarmonaDepartment of Medicine 1.
Georg FeldmannDepartment of Medicine 3, University Hospital Bonn, Bonn, Germany.
Hojjat AhmadzadehfarDepartment of Nuclear Medicine (Clinical Nuclear Medicine).
Markus EsslerDepartment of Nuclear Medicine (Clinical Nuclear Medicine).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of personalized medicine has been growing, mainly due to a more urgent need to avoid unnecessary and expensive treatments. In nuclear medicine, the theranostic approach is an established tool for specific molecular targeting, both for diagnostics and therapy. The visualization of potential targets can help predict if a patient will benefit from a particular treatment. Thanks to the quick development of radiopharmaceuticals and diagnostic techniques, the use of theranostic agents has been continually increasing. In this article, important milestones of nuclear therapies and diagnostics in the context of theranostics are highlighted. It begins with a well-known radioiodine therapy in patients with thyroid cancer and then progresses through various approaches for the treatment of advanced cancer with targeted therapies. The aim of this review was to provide a summary of background knowledge and current applications, and to identify the advantages of targeted therapies and imaging in nuclear medicine practices.

Indexed as

diagnosticsnuclear medicinepersonalized medicinePET/CTtheranosticstherapy

Identifiers

PMID29042793
PMCPMC5633297

What OpenQuestion holds

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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.