Evidence map›Paper›PMID 32409894›Full record

ReviewEuropean journal of nuclear medicine and molecular imaging2020

Highlights of the 32th Annual Congress of the EANM, Barcelona 2019: the nucleolympic games of nuclear medicine-a global competition for excellence.

Sarah M Schwarzenböck, Valentina Garibotto

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of nuclear medicine and molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Sarah M SchwarzenböckDepartment of Nuclear Medicine, Rostock University Medical Centre, Rostock, Germany. sarah.schwarzenboeck@med.uni-rostock.de.
Valentina GaribottoDiagnostic Department, University Hospitals of Geneva, NIMTLab, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 32th Annual Congress of the European Association of Nuclear Medicine (EANM) returned to Barcelona, Spain, from the 12th to the 16th of October 2019, under the chairmanship of Professor Francesco Giammarile. With a total number of 6833 participants from all over the world, the EANM congress was the year's most important meeting in nuclear medicine worldwide. The congress was an unprecedented success, with more than 1800 submitted abstracts presented in scientific sessions and a variety of lectures including CME sessions from all fields of nuclear medicine and multidisciplinary joint symposia with clinical societies. Innovative research was presented in all fields, showing important developments in radiopharmacy and preclinical oncology, PET and non-PET diagnostic strategies, new therapeutic approaches and molecular imaging-based prediction of prognosis and treatment response. In the field of physics and instrumentation, technological progresses, radiomics and artificial intelligence were highlighted as most relevant areas of innovation. This review gives a summary of our personal choice among the most notable developments of this year's contributions as presented in the Highlights session of the Annual congress of the EANM 2019. EANM 2019 outlines a bright future for nuclear medicine, with groups competing all over the world to bring innovation across all fields of medicine, through increased standardization, progressively lower radiation dose and increasingly high clinical impact.

Indexed as

Nuclear MedicineArtificial IntelligenceHumansMolecular ImagingRadionuclide ImagingSpainAbstractsAnnual CongressEANM 2019HighlightsNovel developmentsNuclear medicine

Identifiers

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.