Evidence map›Paper›PMID 31236405›Full record

SynthesisBioMed research international2019

Hyposmia as a Predictive Marker of Parkinson's Disease: A Systematic Review and Meta-Analysis.

Xin Sui, Changli Zhou, Jinwei Li, Lei Chen, Xige Yang, Feng Li

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  5. Review
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  7. Article
  8. Article
  9. Redefining Non-Motor Symptoms in Parkinson's Disease.Journal of personalized medicine · 2025
    Review
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  11. 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 at 1 institution in 1 country.

Xin SuiSchool of Nursing, Jilin University, Changchun, Jilin 130021, China.
Changli ZhouSchool of Nursing, Jilin University, Changchun, Jilin 130021, China.
Jinwei LiSchool of Nursing, Jilin University, Changchun, Jilin 130021, China.
Lei ChenThe First Hospital of Jilin University, Changchun, Jilin 130021, China.
Xige YangThe First Hospital of Jilin University, Changchun, Jilin 130021, China.ORCID 0000-0003-3061-4743
Feng LiSchool of Nursing, Jilin University, Changchun, Jilin 130021, China.ORCID 0000-0001-7423-8730
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyposmia is one of the most common and best-characterized conditions that is also one of the first nonmotor features of Parkinson's disease (PD). The association of hyposmia with PD is widely accepted; however the likelihood of developing PD is unclear. Our meta-analysis aimed to investigate the risk of PD in individuals with hyposmia.

methodsProspective studies on humans published before December 4

resultsOf the 1774 studies retrieved, seven met the inclusion criteria for this review. A total of 3272 hyposmia and 176 PD events were reported over follow-up periods ranging from 3 to 17 years. Hyposmia was associated with a 3.84-fold risk of developing PD (pooled relative risk: 3.84, 95% CI 2.12-6.95). Subgroup analyses identified few differences between different hyposmia assessment methodologies and follow-up periods.

conclusionsOur findings suggest that deficiencies in olfaction are associated with an increased risk of developing PD. Future studies are needed to investigate whether hyposmia is a promising and feasible biomarker for the early diagnosis of PD.

Indexed as

FemaleHumansMaleOlfaction DisordersParkinson DiseaseProspective StudiesRiskSmell

Identifiers

PMID31236405
PMCPMC6545790
OpenAlexW2946698384

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.