Evidence map›Paper›PMID 14770279›Full record

ArticleDer Nervenarzt2004

[Diagnosis and differential cerebral vasculitis diagnosis].

P Berlit

Abstract read
PubMed Publisher
In one paragraph

Article in Der Nervenarzt, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Diagnosis and treatment of cerebral vasculitis.Therapeutic advances in neurological disorders · 2010
    Article
  3. Article
  4. Article
  5. Article
  6. [Cerebral vasculitis].Der Nervenarzt · 2004
    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

1 author at 1 institution in 1 country.

P BerlitKlinik für Neurologie mit Klinischer Neurophysiologie, Alfried-Krupp-Krankenhaus, Essen. peter.berlit@krupp-krankenhaus.de
Alfried Krupp Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over a 5-year period, we investigated 77 consecutive patients (36 males, 41 females, mean age 40.9 years) referred to our hospital with the diagnosis of CNS vasculitis. Extensive workup including MRI, echocardiography, laboratory tests, angiography ( n=53), and biopsies at appropriate sites ( n=26) was performed based on individual history and symptoms. Prominent symptoms were stroke ( n=61), encephalopathy ( n=14), and headaches ( n=2). Vasculitis was finally diagnosed in 13 patients (17%) including isolated angiitis of the CNS ( n=3), giant cell arteritis ( n=4), and septic arteritis ( n=3). Thirty-two patients (42%) presented noninflammatory vasculopathies including moyamoya ( n=6), Sneddon's syndrome ( n=5), dissection ( n=4), CADASIL ( n=2), and collagen vascular disease ( n=9). Coagulopathy was found in 14 cases (18%) including antiphospholipid syndrome ( n=8) and APC resistance ( n=4). Other causes were cardiogenic embolism ( n=8), multiple sclerosis ( n=5), and migraine stroke ( n=3). Only a minority of patients referred for evaluation of suspected CNS vasculitis actually present with inflammatory vascular disease. Main differential diagnosis includes noninflammatory vasculopathies, coagulopathies, and cardiac disease. Since septic processes may be responsible for the symptoms, "blind" treatment with immunosuppressive agents should be strictly avoided.

Indexed as

AdultBrain Damage, ChronicContraindicationsDiagnosis, DifferentialDiagnostic ImagingFemaleHumansImmunosuppressive AgentsMaleMiddle AgedNeurologic ExaminationRetrospective StudiesRisk FactorsVasculitis, Central Nervous SystemImmunosuppressive Agents

Identifiers

PMID14770279
OpenAlexW2006139636

What OpenQuestion holds

Textmetadata
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.