Evidence map›Paper›PMID 38492015›Full record

ArticleJournal of neurology2024

A biological characterization of patients with postmenopausal Parkinson's disease.

Roberta Bovenzi, Tommaso Schirinzi, Matteo Conti, Giulia Maria Sancesario, Henri Zenuni, Clara Simonetta, Jacopo Bissacco, Davide Mascioli, Massimo Pieri, Rocco Cerroni and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Differential effects of hormone therapy formulations on Parkinson's disease risk: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Pooled it
  2. Article
  3. Review
  4. The Neurology of Menopause.Current neurology and neuroscience reports · 2026
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
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

13 authors at 2 institutions in 1 country.

Roberta BovenziUnit of Neurology, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
Tommaso SchirinziUnit of Neurology, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy. t.schirinzi@yahoo.com.ORCID http://orcid.org/0000-0002-2517-6278
Matteo ContiUnit of Neurology, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
Giulia Maria SancesarioIRCCS Fondazione Santa Lucia, European Centre for Brain Research, Rome, Italy.
Henri ZenuniUnit of Neurology, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
Clara SimonettaUnit of Neurology, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
Jacopo BissaccoUnit of Neurology, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
Davide MascioliUnit of Neurology, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
Massimo PieriDepartment of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy.
Rocco CerroniUnit of Neurology, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
Alessandro StefaniUnit of Neurology, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
Nicola Biagio MercuriUnit of Neurology, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
Mariangela PierantozziUnit of Neurology, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
University of Rome Tor Vergata · ITFondazione Santa Lucia · IT

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca disease (DN. 1553 11.10.2022)Ministero dell'Istruzione, dell'Università e della Ricerca Project MNESYS (PE0000006) - A Multiscale integrated approach to the study of the nervous system in health
6 · The paper itself

Abstract

Menopause increases the risk for Parkinson's disease (PD), although the underlying biological mechanisms have not been established in patients. Here, we aimed to understand the basis of menopause-related vulnerability to PD. Main motor and non-motor scores, blood levels of estradiol, testosterone, follicle-stimulating hormone, and luteinizing hormone, CSF levels of total α-synuclein, amyloid-β-42, amyloid-β-40, total tau, and phosphorylated-181-tau were examined in 45 women with postmenopausal-onset PD and 40 age-matched controls. PD patients had higher testosterone and lower estradiol levels than controls, and the residual estradiol production was associated with milder motor disturbances and lower dopaminergic requirements. In PD but not in controls, follicle-stimulating hormone levels correlated with worse cognitive scores and CSF markers of amyloidopathy and neuronal loss. In conclusion, menopause-related hormonal changes might differentially contribute to clinical-pathological trajectories of PD, accounting for the peculiar vulnerability to the disease.

Indexed as

Parkinson DiseasePostmenopausetau ProteinsAgedalpha-SynucleinAmyloid beta-PeptidesBiomarkersEstradiolFemaleFollicle Stimulating HormoneHumansLuteinizing HormoneMiddle AgedPeptide FragmentsTestosteronealpha-SynucleinAmyloid beta-PeptidesBiomarkersEstradiolFollicle Stimulating HormoneLuteinizing HormonePeptide Fragmentstau ProteinsTestosteroneCSF biomarkersGenderHormonesMenopauseParkinson’s disease

Identifiers

PMID38492015
OpenAlexW4392880192

What OpenQuestion holds

Textmetadata
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.