Evidence map›Paper›PMID 37240584›Full record

ArticleJournal of clinical medicine2023

Diagnostic Effectiveness of [

Javier Villena-Salinas, Simeón José Ortega-Lozano, Tomader Amrani-Raissouni, Eduardo Agüera, Javier Caballero-Villarraso

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Javier Villena-SalinasNuclear Medicine Service, Virgen de la Victoria University Hospital, 29010 Málaga, Spain.ORCID 0000-0003-1457-5190
Simeón José Ortega-LozanoNuclear Medicine Service, Virgen de la Victoria University Hospital, 29010 Málaga, Spain.
Tomader Amrani-RaissouniNuclear Medicine Service, Virgen de la Victoria University Hospital, 29010 Málaga, Spain.
Eduardo AgüeraNeurology Service, Reina Sofia University Hospital, 14004 Córdoba, Spain.ORCID 0000-0002-8604-2054
Javier Caballero-VillarrasoMaimónides Biomedical Research Institute of Córdoba (IMIBIC), 14004 Córdoba, Spain.ORCID 0000-0003-0571-5147
Hospital Clínico Universitario Virgen de la Victoria · ESInstituto Maimónides de Investigación Biomédica de Córdoba · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple system atrophy (MSA) is a rapidly progressive neurodegenerative disorder that has no curative treatment. Diagnosis is based on a set of criteria established by Gilman (1998 and 2008) and recently updated by Wenning (2022). We aim to determine the effectiveness of [

methodsA cross-sectional study of patients at the initial clinical suspicion of MSA, referred for [

resultsOverall, 139 patients (68 men, 71 women) were included, 104 being MSA-probable and 35 MSA-possible. MRI was normal in 89.2%, while SPECT was positive in 78.45%. SPECT showed high sensitivity (82.46%) and positive predictive value (86.24), reaching maximum sensitivity in MSA-P (97.26%). Significant differences were found when relating both SPECT assessments in the healthy-sick and inconclusive-sick groups. We also found an association when relating SPECT to the subtype (MSA-C or MSA-P), as well as to the presence of parkinsonian symptoms. Lateralization of striatal involvement was detected (left side).

conclusions[

Indexed as

cross-sectional studydiagnostic accuracydysautonomiafunctional neuroimaging testingIoflupane-123multiple system atrophy

Identifiers

PMID37240584
PMCPMC10219509
OpenAlexW4376644357

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.