Evidence map›Paper›PMID 31734779›Full record

ReviewEndocrine2020

Prognostic and predictive value of nuclear imaging in endocrine oncology.

Giorgio Treglia, Bernard Goichot, Luca Giovanella, Elif Hindié, Abhishek Jha, Karel Pacak, David Taïeb, Thomas Walter, Alessio Imperiale

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Endocrine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. 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

9 authors.

Giorgio TregliaClinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Bellinzona, Switzerland.
Bernard GoichotEndocrinology and Internal Medicine Department, Hautepierre Hospital, University Hospitals of Strasbourg, Strasbourg, France.
Luca GiovanellaClinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Bellinzona, Switzerland.
Elif HindiéNuclear Medicine Department, Haut-Lévêque Hospital, University Hospitals of Bordeaux, University of Bordeaux, Bordeaux, France.
Abhishek JhaEunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Karel PacakEunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
David TaïebNuclear Medicine, La Timone University Hospital, Aix-Marseille University, Marseille, France.
Thomas WalterMedical Oncology, Edouard Herriot Hospital, Hospices Civils de Lyon, Lyon, France.
Alessio ImperialeBiophysics and Nuclear Medicine, Hautepierre Hospital, University Hospitals of Strasbourg, Strasbourg University/FMTS, Strasbourg, France. alessio.imperiale@chru-strasbourg.fr.ORCID 0000-0003-2751-5146

Funding

Intramural NIH HHS Z99 HD999999
6 · The paper itself

Abstract

In the last few years, the role and use of medical technologies in (neuro)endocrine oncology has greatly evolved allowing not only important diagnostic information but also prognostic stratification in different clinical situations. The terms "prognostic" and "predictive" are commonly used to describe the relationships between biomarkers and patients' clinical outcomes but have quite different meaning. The present work discusses the prognostic and predictive value of nuclear medicine imaging. It critically reviews the clinical significance and potential impact of molecular examinations on follow-up and therapeutic strategies in patients with neuroendocrine neoplasms, thyroid tumors, and adrenal malignancies.

Indexed as

Adrenal Gland NeoplasmsNeuroendocrine TumorsThyroid NeoplasmsHumansPrognosisRadionuclide ImagingEndocrinologyNeuroendocrineNuclear medicinePETPredictivePrognostic

Identifiers

PMID31734779
PMCPMC7441826

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.