Evidence map›Paper›PMID 42871258›Full record

ArticleCase reports in neurological medicine2026

Cerebral Manifestation of Miliary Tuberculosis Mimicking a Parasitic CNS Infection.

Daniel Martens, Fatma Merzou, Nils Schroeter, Malvina Garner, Wolfgang Reith, Sergiu Groppa, Yaroslav Winter

Abstract read
In one paragraph

Article in Case reports in neurological medicine, 2026. 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
–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

0 citing papers in PubMed.

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

7 authors.

Daniel MartensDepartment of Neurology Saarland University Homburg Germany uni-saarland.de.ORCID https://orcid.org/0009-0004-4036-0067
Fatma MerzouDepartment of Neurology Saarland University Homburg Germany uni-saarland.de.ORCID https://orcid.org/0000-0001-7464-4122
Nils SchroeterDepartment of Neurology Saarland University Homburg Germany uni-saarland.de.ORCID https://orcid.org/0000-0002-3833-9822
Malvina GarnerDepartment of Neuroradiology Saarland University Medical Center Homburg Germany uniklinikum-saarland.de.ORCID https://orcid.org/0009-0003-7547-7567
Wolfgang ReithDepartment of Neuroradiology Saarland University Medical Center Homburg Germany uniklinikum-saarland.de.ORCID https://orcid.org/0000-0001-8373-4090
Sergiu GroppaDepartment of Neurology Saarland University Homburg Germany uni-saarland.de.ORCID https://orcid.org/0000-0002-2551-5655
Yaroslav WinterDepartment of Neurology Saarland University Homburg Germany uni-saarland.de.ORCID https://orcid.org/0000-0001-9854-4038

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neuroradiological findings of central nervous system (CNS) manifestations of miliary tuberculosis can be misinterpreted as parasitic infections due to their low prevalence in the European population. We present the case of a 30-year-old woman in whom CNS tuberculosis was initially misdiagnosed as a parasitic infection due to the absence of pulmonary symptoms. She immigrated to Germany from Madagascar and had lived in Europe for 14 months by the time she presented to our department with an incidental MRI finding suggestive of a manifestation of toxoplasmosis. The T1-weighted axial brain MRI scan revealed multifocal, rim-enhancing lesions that were suggestive of parasitic infection. Following a chest CT scan that revealed miliary tuberculosis, the diagnosis was revised to neurotuberculosis. This was confirmed by a polymerase chain reaction (PCR) that detected the

Indexed as

CNS manifestationmimicsneurocysticercosistoxoplasmosistuberculosis

Identifiers

PMID42871258
PMCPMC13659059

What OpenQuestion holds

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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.