Evidence map›Paper›PMID 25229404›Full record

ArticlePloS one2014

Quality of life and costs in Parkinson's disease: a cross sectional study in Hungary.

Gertrúd Tamás, László Gulácsi, Dániel Bereczki, Petra Baji, Annamária Takáts, Valentin Brodszky, Márta Péntek

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 5 pooled it
–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

18 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Health-related quality of life in Parkinson's disease: systematic review and meta-analysis of EuroQol (EQ-5D) utility scores.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Pooled it
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  4. EQ-5D studies in nervous system diseases in eight Central and East European countries: a systematic literature review.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Pooled it
  5. Cost-of-illness studies in nine Central and Eastern European countries.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Pooled it
  6. Article
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  12. A comparison of European, Polish, Slovenian and British EQ-5D-3L value sets using a Hungarian sample of 18 chronic diseases.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Article
  13. The burden of informal caregiving in Hungary, Poland and Slovenia: results from national representative surveys.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
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  14. Review
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  17. EQ-5D in Central and Eastern Europe: 2000-2015.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    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

7 authors.

Gertrúd TamásDepartment of Neurology, Semmelweis University, Budapest, Hungary.
László GulácsiDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.
Dániel BereczkiDepartment of Neurology, Semmelweis University, Budapest, Hungary.
Petra BajiDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.
Annamária TakátsDepartment of Neurology, Semmelweis University, Budapest, Hungary.
Valentin BrodszkyDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.
Márta PéntekDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary; Rheumatology, Flór Ferenc County Hospital, Kistarcsa, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient reported outcomes and costs of illness are useful to capture some of the multiple effects of a disease and its treatments. Our aim was to assess quality of life (QoL) and costs of Parkinson's disease (PD) in Hungary, and to analyze their associations.

methodsA cross-sectional questionnaire survey was conducted in one neurology university clinic. Clinical characteristics, PD related resource utilizations and productivity loss in the past 12 months were recorded; the Hoehn&Yahr (HY) scale, PDQ-39 and EQ-5D questionnaires were applied. Cost calculation was performed from the societal perspective.

results110 patients (34.5% female) were involved with mean age of 63.3 (SD=11.3) and disease duration of 8.2 (SD=5.8) years. PDQ-39 summary score was 48.1 (SD=13.4). The average EQ-5D score was 0.59 (SD=0.28), and was significantly lower than the population norm in age-groups 45-74. The correlation was significant between EQ-5D and PDQ-39 (-0.47, p=0.000), the HY scale and EQ-5D (-0.3416, p=0.0008) and PDQ-39 (0.3419, p=0.0006) scores. The total mean cost was €6030.2 (SD=6163.0)/patient/year (direct medical 35.7%, direct non-medical 29.4%, indirect cost 34.9%). A one year increase in disease duration and 0.1 decrease of the EQ-5D utility score increase the yearly costs by 8 to 10%, and 7.8%, respectively. The effect of the PDQ-39 score on total cost was not significant.

conclusionsDisease severity and public health importance of PD are clearly demonstrated by the magnitude of QoL loss. PD-related costs are substantial, but are much lower in Hungary than in Western European countries. Disease duration and EQ-5D score are significant proxy of costs.

Indexed as

Cost of IllnessQuality of LifeCross-Sectional StudiesFemaleHealth Care CostsHealth StatusHumansHungaryMaleMiddle AgedParkinson DiseasePatient Acceptance of Health CareSurveys and Questionnaires

Identifiers

PMID25229404
PMCPMC4167855

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.