Evidence map›Paper›PMID 39335427›Full record

ArticleBrain sciences2024

Brain Evaluation by Dual PET/CT with [

Fabio Andrés Sinisterra Solís, Francisco Rubén Romero Castellanos, Emilly Alejandra Cortés Mancera, Ana L Calderón Ávila, Sofía Denisse González Rueda, Juan Salvador Rosales García, Nora Estela Kerik Rotenberg, Dioselina Panamá Tristán Samaniego, Andrés Mauricio Bonilla Navarrete

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In one paragraph

Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Fabio Andrés Sinisterra SolísPET/CT Molecular Imaging Unit, National Institute of Neurology and Neurosurgery, Mexico City 14269, Mexico.ORCID 0000-0001-7594-4979
Francisco Rubén Romero CastellanosPET/CT Molecular Imaging Unit, National Institute of Neurology and Neurosurgery, Mexico City 14269, Mexico.
Emilly Alejandra Cortés ManceraPET/CT Molecular Imaging Unit, National Institute of Neurology and Neurosurgery, Mexico City 14269, Mexico.ORCID 0000-0002-1484-1287
Ana L Calderón ÁvilaNuclear Medicine Department, Hospital de Especialidades del Centro Médico Nacional Siglo XXI, IMSS, Mexico City 06720, Mexico.
Sofía Denisse González RuedaNuclear Medicine Department, National Cancer Institute, Mexico City 14080, Mexico.ORCID 0009-0003-1079-0464
Juan Salvador Rosales GarcíaPET/CT Molecular Imaging Unit, National Institute of Neurology and Neurosurgery, Mexico City 14269, Mexico.ORCID 0009-0004-6136-7516
Nora Estela Kerik RotenbergPET/CT Molecular Imaging Unit, National Institute of Neurology and Neurosurgery, Mexico City 14269, Mexico.
Dioselina Panamá Tristán SamaniegoAdult Neurologist and Movement Disorders Specialist, Ministry of Health, Panama City 512-9100, Panama.
Andrés Mauricio Bonilla NavarreteDepartment of Clinical Neurology, National Cancer Institute of Colombia, Bogotá 111511, Colombia.ORCID 0000-0002-5087-7594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinsonian syndromes are considered clinicopathological conditions that are challenging to diagnose. Molecular imaging with [18F]-FDOPA and [18F]-FDG contributes to a more accurate clinical diagnosis by evaluating presynaptic dopaminergic pathways and glucose metabolism, respectively. The aim of this study was to correlate diagnoses made from dual PET/CT with the initial clinical diagnoses, as well as during follow-ups in patients with Parkinsonian syndromes. A secondary objective was to describe the imaging findings.

Indexed as

differential diagnosisdual PET/CTFDGFDOPAParkinsonian syndrome

Identifiers

PMID39335427
PMCPMC11429636

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Registered trials

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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.