Evidence map›Paper›PMID 33907036›Full record

ArticleNeural regeneration research2021

Potential protective role of ACE-inhibitors and AT1 receptor blockers against levodopa-induced dyskinesias: a retrospective case-control study.

Elena Contaldi, Luca Magistrelli, Anna V Milner, Marco Cosentino, Franca Marino, Cristoforo Comi

Open access · goldAbstract read
In one paragraph

Article in Neural regeneration research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Unlocking Novel Therapeutic Potential of Angiotensin II Receptor Blockers.International journal of molecular sciences · 2025
    Review
  4. Article
  5. Review
  6. The Impact ofLife (Basel, Switzerland) · 2021
    Review
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 2 institutions in 2 countries.

Elena ContaldiMovement Disorders Centre, Neurology Unit, Department of Translational Medicine; PhD Program in Medical Sciences and Biotechnology, University of Piemonte Orientale, Novara, Italy.
Luca MagistrelliMovement Disorders Centre, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, Novara; PhD Program in Clinical and Experimental Medicine and Medical Humanities, University of Insubria, Varese, Italy.
Anna V MilnerMovement Disorders Centre, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
Marco CosentinoCenter of Research in Medical Pharmacology; Center for Research in Neuroscience, University of Insubria, Varese, Italy.
Franca MarinoCenter of Research in Medical Pharmacology; Center for Research in Neuroscience, University of Insubria, Varese, Italy.
Cristoforo ComiMovement Disorders Centre, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, Novara; Center of Research in Medical Pharmacology, University of Insubria, Varese, Italy.
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITUniversity of Insubria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing evidence has highlighted that angiotensin-converting enzyme (ACE)-inhibitors (ACEi)/AT1 receptor blockers (ARBs) may influence the complex interplay between dopamine and the renin-angiotensin system in the nigrostriatal pathway, thus affecting the development of levodopa-induced dyskinesia in Parkinson's disease (PD). In the present study, we analyzed whether the use of this class of medication was associated with a reduced occurrence of levodopa-induced dyskinesia, using electronically-stored information of idiopathic PD patients enrolled at Novara University Hospital "Maggiore della Carità". We conducted a retrospective case-control study identifying PD patients with dyskinesias (PwD; n = 47) as cases. For each PwD we selected a non-dyskinetic control (NoD), nearly perfectly matched according to sex, Unified Parkinson's Disease Rating Scale (UPDRS) part III score, and duration of antiparkinsonian treatment. Binary logistic regression was used to evaluate whether dyskinesias were associated with ACEi/ARBs use. Ninety-four PD patients were included, aged 72.18 ± 9 years, with an average disease duration of 10.20 ± 4.8 years and 9.04 ± 4.9 years of antiparkinsonian treatment. The mean UPDRS part III score was 18.87 ± 7.6 and the median HY stage was 2. In the NoD group, 25 (53.2%) were users and 22 (46.8%) non-users of ACEi/ARBs. Conversely, in the PwD group, 11 (23.4%) were users and 36 non-users (76.6%) of this drug class (Pearson chi-square = 8.824, P = 0.003). Concerning general medication, there were no other statistically significant differences between groups. After controlling for tremor dominant phenotype, levodopa equivalent daily dose, HY 3-4, and disease duration, ACEi/ARBs use was a significant predictor of a lower occurrence of dyskinesia (OR = 0.226, 95% CI: 0.080-0.636, P = 0.005). Therefore, our study suggests that ACEi/ARBs may reduce levodopa-induced dyskinesia occurrence and, thanks to good tolerability and easy management, represent a feasible choice when dealing with the treatment of hypertension in PD patients. The study was approved by the Ethics Committee of Novara University Hospital "Maggiore della Carità" (CE 65/16) on July 27, 2016.

Indexed as

angiotensin-converting enzyme inhibitorsAT1 receptor blockersdyskinesiashypertensionlevodopamotor complicationsneuroinflammationParkinson's diseaserenin-angiotensin system

Identifiers

PMID33907036
PMCPMC8374578
OpenAlexW3159434021

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.