Evidence map›Paper›PMID 38268056›Full record

ArticleNeurological research and practice2024

Reevaluating the relevance of

Jessy Chen, Giulia Metzger, Christian Furth, Georg Bohner, Volker Siffrin

Open access · diamondAbstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurological research and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Jessy ChenDepartment of Neurology and Experimental Neurology, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany. jessy.chen@charite.de.ORCID http://orcid.org/0000-0002-4355-4121
Giulia MetzgerDepartment of Nuclear Medicine, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Christian FurthDepartment of Nuclear Medicine, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Georg BohnerInstitute of Neuroradiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Volker SiffrinDepartment of Neurology and Experimental Neurology, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
Humboldt-Universität zu Berlin · DEMax Delbrück Center · DECharité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe diagnosis of neurosarcoidosis (NS) remains challenging due to the difficulty to obtain central nervous system (CNS) biopsies. Various diagnostic parameters are considered for the definition of possible, probable and definite NS. Magnetic resonance imaging (MRI) is the imaging gold standard and considered in diagnostic criteria. Fluorodeoxyglucose positron emission (

methodsWe conducted a single center retrospective search for the period 2020-2022, for patients with neurological symptoms in a diagnostic context of suspected NS who underwent MRI and additional

resultsWe identified three cases of NS, where Gadolinium-enhanced MRI scans did not show abnormalities while DISCUSSION:

Indexed as

Diagnostic criteriaFluorodeoxyglucose positron emissionImaging discordanceMetabolic imagingNeurosarcoidosis

Identifiers

PMID38268056
PMCPMC10809582
OpenAlexW4391188068

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.