Evidence map›Paper›PMID 33990624›Full record

ArticleScientific reports2021

Dementia epidemiology in Hungary based on data from neurological and psychiatric specialty services.

Nóra Balázs, András Ajtay, Ferenc Oberfrank, Dániel Bereczki, Tibor Kovács

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Nóra BalázsDepartment of Neurology, Semmelweis University, Budapest Balassa utca 6., Budapest, 1083, Hungary.
András AjtayDepartment of Neurology, Semmelweis University, Budapest Balassa utca 6., Budapest, 1083, Hungary.
Ferenc OberfrankInstitute of Experimental Medicine, Budapest Szigony utca 43., Budapest, 1083, Hungary.
Dániel BereczkiDepartment of Neurology, Semmelweis University, Budapest Balassa utca 6., Budapest, 1083, Hungary.
Tibor KovácsDepartment of Neurology, Semmelweis University, Budapest Balassa utca 6., Budapest, 1083, Hungary. kovacs.tibor@med.semmelweis-univ.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hungary has a single-payer health insurance system covering 10 million inhabitants. All medical reports of the in- and outpatient specialist services were collected in the NEUROHUN database. We used ICD-10 codes of Alzheimer's disease (AD), vascular dementia (VaD), miscellaneous dementia group and mild cognitive impairment (MCI) for the inclusion of the patients. Incidence, prevalence and survival of different dementias and MCI were calculated and analyzed depending on the diagnoses given by neurological or psychiatric services or both. Between 2011 and 2016, the mean crude incidence of all dementias was 242/100,000/year, whereas the age standardized incidence was 287/100,000/year. Crude and age standardized mean prevalence rates were 570/100,000 and 649/100,000, respectively. There were significantly more VaD diagnoses than AD, the VaD:AD ratio was 2.54:1, being the highest in patients with psychiatric diagnoses only (4.85:1) and the lowest in patients with only neurological diagnoses (1.32:1). The median survival after the first diagnosis was 3.01 years regarding all dementia cases. Compared to international estimates, the prevalence of dementia and MCI is considerably lower in Hungary and the VaD:AD ratio is reversed.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseCognitive DysfunctionDementia, VascularFemaleHumansHungaryIncidenceKaplan-Meier EstimateMaleMiddle AgedPrevalence

Identifiers

PMID33990624
PMCPMC8121883

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