Evidence map›Paper›PMID 32716953›Full record

ArticlePloS one2020

Incidence and prevalence of multiple sclerosis in Hungary based on record linkage of nationwide multiple healthcare administrative data.

Anna Iljicsov, Dániel Milanovich, András Ajtay, Ferenc Oberfrank, Mónika Bálint, Balázs Dobi, Dániel Bereczki, Magdolna Simó

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Trend control charts for multiple sclerosis case definitions.International journal of population data science · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

8 authors at 4 institutions in 1 country.

Anna IljicsovDepartment of Neurology, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-5442-0794
Dániel MilanovichDepartment of Neurology, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-3182-4067
András AjtayDepartment of Neurology, Semmelweis University, Budapest, Hungary.
Ferenc OberfrankInstitute of Experimental Medicine, Budapest, Hungary.
Mónika BálintCentre for Economic and Regional Studies, Budapest, Hungary.
Balázs DobiDepartment of Probability Theory and Statistics, Eötvös Loránd University, Budapest, Hungary.ORCID 0000-0002-1187-4104
Dániel BereczkiDepartment of Neurology, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-8374-0500
Magdolna SimóDepartment of Neurology, Semmelweis University, Budapest, Hungary.
Semmelweis University · HUELTE Centre for Economic and Regional Studies · HUEötvös Loránd University · HUHUN-REN Institute of Experimental Medicine · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAs there were only regional studies in Hungary about the prevalence of multiple sclerosis (MS), we aimed to estimate its epidemiological features using data of Hungary's single-payer health insurance system.

methodsPseudonymized database of claims reported by hospitals and outpatient services between 2004-2016 was analyzed and linked with an independent database of outpatient pharmacy refills between 2010-2016. We established an administrative case definition of MS and validated it on medical records of 309 consecutive patients. A subject was defined as MS-patient if received MS diagnosis (International Classification of Diseases, 10th edition, code G35) on three or more occasions at least in 2 calendar years and at least once documented by a neurologist. Patients were counted as incident cases in the year of the first submitted claim for MS. We allowed a 6-year-long run-in period, so only data between 2010-2015 are discussed.

resultsSensitivity of the administrative case definition turned out to be 99%, while specificity was >99%. Crude prevalence of MS has increased from 109.3/100,000 in 2010 to 130.8/100,000 in 2015 (p-value = 0.000003). Crude incidence declined from 7.1/100,000 (2010) to 5.4/100,000 (2015) (p-value = 0.018). Direct standardization - based on European standard population and results of nationwide Hungarian census of 2011 - revealed that age standardized prevalence was 105.2/100,000 (2010), which has grown to 127.2/100,000 (2015) (p-value = 0.000001). Age standardized incidence rate declined from 6.7/100,000 (2010) to 5.1/100,000 (2015) (p-value = 0.016). The ratio of MS-patients receiving ≥1 prescription for disease modifying treatment increased from 0.19 (2010) to 0.29 (2015) (p-value = 0.0051). The female/male ratio of prevalent cases remained 2.6. DISCUSSION: The prevalence of MS in Hungary is higher than previously reported, the incidence rate is moderate. The prevalence is rising, the incidence rate shows decline. The proportion of patients receiving disease modifying treatment grows but was still around 30% in 2015.

Indexed as

Data AnalysisRecordsAge FactorsAlgorithmsDelivery of Health CareFemaleHumansHungaryIncidenceMaleMultiple SclerosisPrevalenceReproducibility of Results

Identifiers

PMID32716953
PMCPMC7384662
OpenAlexW3045551905

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.