Evidence map›Paper›PMID 26989558›Full record

ArticleParkinson's disease2016

National Trends of Antiparkinsonism Treatment in Taiwan: 2004-2011.

Weng-Ming Liu, Ruey-Meei Wu, Chia-Hsuin Chang, Jou-Wei Lin, Ying-Chun Liu, Chin-Hsien Lin

Abstract read
In one paragraph

Article in Parkinson's disease, 2016. 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

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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.

  1. Article
  2. 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

6 authors.

Weng-Ming LiuDepartment of Neurology, Buddhist Tzu Chi General Hospital, Hualien, Taiwan.
Ruey-Meei WuDepartment of Neurology, National Taiwan University Hospital, No. 7, Chunag-Shan South Road, Taipei 100, Taiwan.
Chia-Hsuin ChangDepartment of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Institute of Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Jou-Wei LinDepartment of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Cardiovascular Center, National Taiwan University Hospital, Yun-Lin Branch, Douliou, Yunlin County, Taiwan.
Ying-Chun LiuInstitute of Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Chin-Hsien LinDepartment of Neurology, National Taiwan University Hospital, No. 7, Chunag-Shan South Road, Taipei 100, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. Several guidelines for Parkinson's disease (PD) management were recently updated. We examined temporal trends for antiparkinsonism drugs in Taiwan. Methods. Antiparkinsonism prescriptions, including levodopa, ergot/nonergot dopamine agonists (DAs), amantadine, selegiline, entacapone, and anticholinergics, were identified in the Taiwan National Health Insurance Database from 2004 to 2011. Time trend analyses were estimated assuming Poisson distribution. Results. A total of 19,302 PD patients in 2004 and 41,606 PD patients in 2011 were analyzed. Antiparkinsonism prescriptions increased significantly from 187,137 in 2004 to 414,587 in 2011. Levodopa monotherapy or combination therapy was the mainstay. Levodopa monotherapy comprised 37.4% of prescriptions in 2004 and 44.2% in 2011, with an annual increase rate of 18.14%. There was a substantially increasing trend of DA prescriptions, which were higher in younger-aged patients (<60 years) than in older-aged group (p = 0.0006). Among combination therapy, DA combined with levodopa or other antiparkinsonism medications became the main combinations for younger-aged patients after 2009. After 2005, the proportion of ergot DA usage markedly decreased and PD patients using nonergot DA increased. Conclusions. Levodopa was the major treatment from 2004 to 2011. There was a steeply increased trend of DA use, especially in younger-aged patients. Nonergot agents comprised the major DA group after 2005.

Identifiers

PMID26989558
PMCPMC4775810

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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.