Evidence map›Paper›PMID 36248008›Full record

ArticleThe Egyptian journal of neurology, psychiatry and neurosurgery2022

Intracranial tuberculomas or neurocysticercosis: differentiated by cervical lymph node pathology.

Sevda Diker, Derlen Özgeç Ruso, Nesil Bayraktar, Uğurcan Balyemez

Open access · diamondAbstract readCase Reports
In one paragraph

Article in The Egyptian journal of neurology, psychiatry and neurosurgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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  3. Review
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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

4 authors at 3 institutions in 1 country.

Sevda DikerFaculty of Medicine, Department of Neurology, Cyprus International University, Nicosia, Cyprus.ORCID 0000-0002-8944-0672
Derlen Özgeç RusoDepartment of Chest Diseases, Dr. Burhan Nalbantoğlu State Hospital, Nicosia, Cyprus.ORCID 0000-0002-0941-8804
Nesil BayraktarDepartment of Infectious Diseases and Clinical Microbiology, Dr. Burhan Nalbantoğlu State Hospital, Nicosia, Cyprus.ORCID 0000-0001-5248-8018
Uğurcan BalyemezFaculty of Medicine, Department of Radiology, Near East University, Nicosia, Cyprus.ORCID 0000-0001-6845-0081
Nicosia General Hospital · CYCyprus International University · CYNear East University · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diagnosis of tuberculomas can be difficult in the absence of pulmonary involvement due to numerable mimics. Case report: We report an immunocompetent 20-year-old female patient, who was admitted with new-onset generalized seizure. Cranial magnetic resonance imaging (MRI) revealed multiple ring-enhancing lesions. There was no reported systemic symptom such as weight loss, fever or night sweating. Polymerase chain reaction for SARS-COV-2 was negative. Computed tomography of thorax was normal. With an initial diagnosis of neurocysticercosis, she was treated with albendazole for one month. Follow-up cranial MRI showed no improvement. On follow-up visit, an enlarged cervical lymph node was recognized. Biopsy of the lymph node led to the diagnosis of tuberculosis. Two months after the onset of anti-tuberculosis therapy, follow-up cranial MRI showed near-complete resolution. Conclusion: Investigation of any involvement of disease other than the central nervous system can enable accurate and timely diagnosis of tuberculomas in the absence of pulmonary involvement.

Indexed as

Magnetic resonance imagingNeurocysticercosisSeizureTuberculoma

Identifiers

PMID36248008
PMCPMC9550306
OpenAlexW4304112935

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.