Evidence map›Paper›PMID 36267881›Full record

ArticleFrontiers in neurology2022

Worldwide trends in mortality related to Parkinson's disease in the period of 1994-2019: Analysis of vital registration data from the WHO Mortality Database.

Ioannis C Lampropoulos, Foteini Malli, Olga Sinani, Konstantinos I Gourgoulianis, Georgia Xiromerisiou

Abstract read
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In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 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.

Ioannis C LampropoulosRespiratory Medicine Department, Faculty of Medicine, University of Thessaly, Larissa, Greece.
Foteini MalliRespiratory Medicine Department, Faculty of Medicine, University of Thessaly, Larissa, Greece.
Olga SinaniDepartment of Neurology, School of Medicine, University of Thessaly, Larissa, Greece.
Konstantinos I GourgoulianisRespiratory Medicine Department, Faculty of Medicine, University of Thessaly, Larissa, Greece.
Georgia XiromerisiouDepartment of Neurology, School of Medicine, University of Thessaly, Larissa, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mortality due to Parkinson's disease (PD) and its long-term trends worldwide in recent decades remain unknown. No previous studies have simultaneously studied age- and sex-specific mortality trends at a population level worldwide. Insights gained from this study can help identify high-risk populations and inform healthcare service requirements for managing Parkinson's disease globally. Objectives: The aim of the study was to examine trends in mortality from Parkinson's disease by age-group and sex across countries all over the world. In this study, we used worldwide registry data to examine the temporal trends in PD mortality across most counties of the world from 1994 to 2019 using joinpoint regression. Results: In data from vital registration systems, huge variations in the patterns of deaths due to Parkinson's disease were observed both over time and between countries. Between 1994 and 2019, there was a significant increase in mortality rates globally in both men and women. In more detail, the mortality rate (per 100,000) in 1994 was 1.76 and reached 5.67 in 2019. Greater increases in mortality were seen in men than in women; and in older than in younger people. Conclusions: There has been a striking rising trend in Parkinson's disease mortality globally. Persistent age and sex disparities are found in Parkinson's disease mortality trends. Our findings may have important implications for future research, healthcare planning, and provision.

Indexed as

epidemiologymortalityneurodegenerative disordersParkinson's diseasetrends

Identifiers

PMID36267881
PMCPMC9576872

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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.