Evidence map›Paper›PMID 39110196›Full record

SynthesisEuropean journal of nuclear medicine and molecular imaging2024

The impact of PET imaging on triple negative breast cancer: an updated evidence-based perspective.

Luca Filippi, Luca Urso, Cristina Ferrari, Priscilla Guglielmo, Laura Evangelista

Abstract readSystematic Review
In one paragraph

Synthesis in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Luca FilippiNuclear Medicine Unit, Department of Onco-hematology, Fondazione PTV Policlinico Tor Vergata University Hospital, Rome, Italy.
Luca Urso *Department of Translational Medicine, University of Ferrara, Ferrara, Italy. luca.urso@unife.it.ORCID 0000-0002-3007-3898
Cristina Ferrari *Nuclear Medicine Unit, Interdisciplinary Department of Medicine (DIM), University of Bari "Aldo Moro", Bari, Italy.
Priscilla Guglielmo *Nuclear Medicine Unit, Humanitas Gavazzeni, Bergamo, Italy.
Laura EvangelistaNuclear Medicine Unit, IRCCS Humanitas Research Hospital, Rozzano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTriple-negative breast cancer (TNBC) is a subtype of breast cancer characterized by the absence of estrogen, progesterone, and HER2 receptors. It predominantly affects younger women and is associated with a poor prognosis. This systematic review aims to evaluate the current role of positron emission tomography (PET) in the management of TNBC patients and to identify future research directions.

methodsWe systematically searched the PubMed, Scopus, and Web of Science databases up to February 2024. A team of five researchers conducted data extraction and analysis. The quality of the selected studies was assessed using a specific evaluation form.

resultsTwenty-eight studies involving 2870 TNBC patients were included in the review. Key clinical applications of PET in TNBC included predicting pathological complete response (pCR) in patients undergoing neoadjuvant chemotherapy (NAC), assessing the prognostic value of baseline PET, and initial disease staging. Two studies utilized PSMA-ligand agents, while the majority used [

conclusionsIn TNBC patients, [

Indexed as

Positron-Emission TomographyTriple Negative Breast NeoplasmsEvidence-Based MedicineFemaleHumansPrognosisMolecular imagingPET/CTProstate specific membrane antigenRadiomicsTheranosticsTriple negative breast cancer

Identifiers

PMID39110196
PMCPMC11599309

What OpenQuestion holds

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LicenceCC BY
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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.