Evidence map›Paper›PMID 32725488›Full record

ReviewDer Nervenarzt2020

[Young onset dementia].

Matthias Pawlowski, Andreas Johnen, Thomas Duning

Abstract readReview
In one paragraph

Review in Der Nervenarzt, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

3 authors.

Matthias PawlowskiKlinik für Neurologie mit Institut für Translationale Neurologie, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Münster, Deutschland. matthias.pawlowski@ukmuenster.de.
Andreas Johnen
Thomas DuningKlinik für Neurologie mit Institut für Translationale Neurologie, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Münster, Deutschland. thomas.duning@ukmuenster.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the demographic change dementia is a common and dramatically increasing reason for medical presentations. In approximately 8% of cases dementia occurs before the age of 65 years. The psychosocial and economic consequences are often severe, particularly in younger patients. Clinicians face major diagnostic challenges. A rapid diagnosis is crucial for patient counselling and management.

objectiveThis review article presents the special features of dementia in younger people, the most important underlying diseases and a rational clinical diagnostic approach.

methodsNarrative review. The literature search was carried out in PubMed.

resultsThe differential diagnostic spectrum of dementia in younger people under the age of 65 years is very broad. The most common causes are Alzheimer's disease with typical or atypical clinical presentations and frontotemporal lobar degeneration. The younger the age of onset, the higher the proportion of treatable and potentially reversible causes of dementia.

conclusionThe diagnostics of primary neurodegenerative diseases have continuously improved, especially due to the availability of an increasing number of clinical, molecular and imaging biomarkers. Nevertheless, in order to avoid unnecessary and burdensome examinations, the diagnostic work-up of young onset dementia must be hypothesis-driven, i.e. following a precise clinical syndromic classification of the symptoms.

Indexed as

Alzheimer DiseaseFrontotemporal DementiaFrontotemporal Lobar DegenerationHumansAlzheimer diseaseEarly-onset dementiaFrontotemporal lobar degenerationSecondary dementiaVascular dementia

Identifiers

PMID32725488
PMCPMC7532136

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.