Evidence map›Paper›PMID 41595784›Full record

ArticleBiomedicines2026

Retinal Thickness Profiles in Parkinsonian Syndromes: Discerning Parkinson's Disease, Multiple System Atrophy, and Progressive Supranuclear Palsy via Optical Coherence Tomography.

Marko Svetel, Gorica Marić, Marija Božić, Tatjana Pekmezović, Igor Petrović, Jana Jakšić, Ana Dimitrijević, Una Lazić, Smiljana Kostić, Milica Knežević and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedicines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Marko SvetelClinic for Eye Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia.ORCID 0009-0009-8315-8869
Gorica MarićInstitute of Epidemiology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.ORCID 0000-0003-2739-142X
Marija BožićClinic for Eye Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia.
Tatjana PekmezovićInstitute of Epidemiology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
Igor PetrovićFaculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.ORCID 0000-0003-2669-8251
Jana JakšićClinic for Eye Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia.
Ana DimitrijevićClinic for Eye Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia.ORCID 0009-0009-4401-7297
Una LazićClinic for Neurology, University Clinical Center of Serbia, 11000 Belgrade, Serbia.
Smiljana KostićNeurology Clinic, Military Medical Academy, 11000 Belgrade, Serbia.
Milica KneževićClinic for Eye Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia.
Tiana PetrovićClinic for Eye Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia.
Sanja Petrović PajićClinic for Eye Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia.
Vesna ŠobotClinic for Eye Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia.
Jelena VasilijevićClinic for Eye Diseases, University Clinical Center of Serbia, 11000 Belgrade, Serbia.ORCID 0000-0002-4806-0497
Marina SvetelFaculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.

Funding

University of Belgrade - Faculty of Medicine 451-03-66/2024-03/200110
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

atypical parkinsonismbiomarkersmultiple system atrophyoptical coherence tomographyParkinson’s diseaseprogressive supranuclear palsyretinal thickness

Identifiers

PMID41595784
PMCPMC12839269

What OpenQuestion holds

Textmetadata
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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.