Evidence map›Paper›PMID 34837532›Full record

ArticleEJNMMI research2021

[

Martina Sollini, Francesco Bartoli, Lara Cavinato, Francesca Ieva, Alessandra Ragni, Andrea Marciano, Roberta Zanca, Luca Galli, Fabiola Paiar, Francesco Pasqualetti and 1 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Oligometastatic Prostate Cancer: Current Status and Future Challenges.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Review
  5. 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

11 authors at 5 institutions in 2 countries.

Martina SolliniDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, Milan, Italy.
Francesco BartoliNuclear Medicine, Department of Translational Research and Advanced Technology in Medicine and Surgery University of Pisa, Pisa University Hospital, Via Roma 67, 56123, Pisa, Italy.
Lara CavinatoMOX - Modeling and Scientific Computing, Department of Mathematics, Politecnico di Milano, p.zza Leonardo da Vinci 32, 20133, Milan, Italy.
Francesca IevaMOX - Modeling and Scientific Computing, Department of Mathematics, Politecnico di Milano, p.zza Leonardo da Vinci 32, 20133, Milan, Italy.
Alessandra RagniMOX - Modeling and Scientific Computing, Department of Mathematics, Politecnico di Milano, p.zza Leonardo da Vinci 32, 20133, Milan, Italy.
Andrea MarcianoNuclear Medicine, Department of Translational Research and Advanced Technology in Medicine and Surgery University of Pisa, Pisa University Hospital, Via Roma 67, 56123, Pisa, Italy.
Roberta ZancaNuclear Medicine, Department of Translational Research and Advanced Technology in Medicine and Surgery University of Pisa, Pisa University Hospital, Via Roma 67, 56123, Pisa, Italy.
Luca GalliMedical Oncology, Pisa University Hospital, Via Roma 67, 56123, Pisa, Italy.
Fabiola PaiarRadiation Oncology, Pisa University Hospital, Via Roma 67, 56123, Pisa, Italy.
Francesco PasqualettiRadiation Oncology, Pisa University Hospital, Via Roma 67, 56123, Pisa, Italy.
Paola Anna ErbaNuclear Medicine, Department of Translational Research and Advanced Technology in Medicine and Surgery University of Pisa, Pisa University Hospital, Via Roma 67, 56123, Pisa, Italy. p.erba@unipi.it.ORCID http://orcid.org/0000-0003-0058-7377
University of Pisa · ITAzienda Ospedaliera Universitaria Pisana · ITPolitecnico di Milano · ITHumanitas University · ITHuman Technopole · IT

Funding

associazione italiana per la ricerca sul cancro AIRC IG 2017 Id. 20819
6 · The paper itself

Abstract

backgroundThe role of image-derived biomarkers in recurrent oligometastatic Prostate Cancer (PCa) is unexplored. This paper aimed to evaluate [

methodsPCa patients eligible for [

results[

conclusionsWe found a comparable heterogeneity between patients with up to five lesions and plurimetastic patients, while patients with up to three lesions were less heterogeneous than plurimetastatic patients, featuring different cells phenotypes in the two groups. Our results supported the use of a 3-lesion threshold to define oligometastatic PCa.

Indexed as

[18F]FMCH PET/CTBiomarkersEpithelial-mesenchymal transitionNumber of lesionsOligometastatic PCaRadiomicsSilhouette indexSimilarity analysis

Identifiers

PMID34837532
PMCPMC8627538
OpenAlexW3216909173

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.