SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2023

Do oral antidiabetic medications alter the risk of Parkinson's disease? An updated systematic review and meta-analysis.

Yanna Xie, Jialiang Wang, Jie Jiang, Furong Liu, Yifang Zhang

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2023. The graph read 1 number from its abstract, feeding 1 cell of the map: it . Cited by 8 papers.

1number the graph read from it
1cell of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 12% 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.

← favours the treatmentfavours the comparator →
1 · no effect
Pharmacokinetics & dosingno clear difference · head-to-head · t2dfeeds one cell of the map
HR 1.050.91 to 1.22
Pooled analysis failed to show any significant difference in the risk of PD among users of metformin (HR: 1.05 95% CI: 0.91, 1.22 I CONCLUSIONS: Limited retrospective evidence indicates that DPP4i may reduce the risk of idiopathic PD in diabetics.

clause the extractor read what became the number

2 · Its place on the map

Where it lands on the map

Rows are treatments, columns are outcomes. The coloured squares are the cells this paper feeds, coloured by the vote it casts there. Click one to jump to what this paper adds to it.

supports the treatmentfavours the comparatorno clear differenceread, but no usable result
3 · What it changes

What it adds to each cell

For every cell the paper feeds: the belief in the claim with and without this paper, and this paper's estimate drawn against every other readable study in the cell. The ringed dot is this paper.

Metformin×pharmacokinetics & dosing

No readable resultOpen on the map →What to test next →

2 readable studies in this cell: 0 favour the treatment, 2 find no difference, 0 favour the comparator.

Belief with this paper
0.25no deciding trial · 0 families support, 0 contradict · against placebo
Without itNot a counted family in this claim, so removing it changes nothing.
← favours the treatmentfavours the comparator →
0 · no effect
NCT00631488146 enrolled · 2008
Δ 22.6-0.60 to 45.8
NCT0200488674 enrolled · 2006
Δ -6.60-34.0 to 20.8

This paper's own estimate is on a different scale from the rest of the cell, so it is not drawn here.

4 · 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.

5 · Its place in the literature

Who cites it

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
6 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

7 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Yanna XieAffiliated Hospital of Shaoxing University, NO. 999, Zhongxing South Road, Shaoxing City, Zhejiang Province, China.
Jialiang WangAffiliated Hospital of Shaoxing University, NO. 999, Zhongxing South Road, Shaoxing City, Zhejiang Province, China.
Jie JiangAffiliated Hospital of Shaoxing University, NO. 999, Zhongxing South Road, Shaoxing City, Zhejiang Province, China.
Furong LiuAffiliated Hospital of Shaoxing University, NO. 999, Zhongxing South Road, Shaoxing City, Zhejiang Province, China.
Yifang ZhangAffiliated Hospital of Shaoxing University, NO. 999, Zhongxing South Road, Shaoxing City, Zhejiang Province, China. yifang162023@163.com.ORCID http://orcid.org/0009-0006-0220-3444
Shaoxing University · CN

Funding

Shaoxing Science and Technology Bureau 2018C30025
8 · The paper itself

Abstract

The marked sentences are the ones the graph read a number from.

backgroundDiabetes mellitus is a known risk factor for Parkinson's disease (PD), but does this risk vary with antidiabetic medications is still unclear. This meta-analysis aims to compile evidence from the literature to assess the risk of idiopathic PD with various oral antidiabetic medications.

methodsDatabases PubMed, CENTRAL, Scopus, Web of Science, and Embase were searched till 5th April 2023. Adjusted outcomes were pooled to generate a hazard ratio (HR) on the risk of PD with different antidiabetic medications.

resultsFifteen studies with 2,910,405 diabetic patients were eligible. Pooled analysis failed to show any significant difference in the risk of PD among users of metformin (HR: 1.05 95% CI: 0.91, 1.22 I

conclusionsLimited retrospective evidence indicates that DPP4i may reduce the risk of idiopathic PD in diabetics. Metformin, sulfonylureas, glucagon-like peptide-1 agonists, and glitazones were not associated with any change in the risk of PD. Further studies taking into confounding factors and using a common comparator group are needed to strengthen present evidence.

Indexed as

Diabetes Mellitus, Type 2Hypoglycemic AgentsParkinson DiseaseGlucagon-Like Peptide 1HumansMetforminRetrospective StudiesSulfonylurea CompoundsThiazolidinedionesGlucagon-Like Peptide 1Hypoglycemic AgentsMetforminSulfonylurea CompoundsThiazolidinedionesDiabetesHypoglycemicsMetforminNeurodegenerative disease

Identifiers

PMID37500992
OpenAlexW4385297874

What Socratic holds

Texttitle and abstract
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 Socratic graph.