Evidence map›Paper›PMID 42133121›Full record

ReviewNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Trazodone for management of depression in Parkinson's disease: expert opinion and proposal for a treatment algorithm.

Angelo Antonini, Anna Rita Bentivoglio, Giovanna Calandra-Buonaura, Roberto Ceravolo, Valentina Leta, Maria Teresa Pellecchia, Andrea Pilotto, Alessandra Nicoletti

Abstract readReview
In one paragraph

Review in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Angelo AntoniniNeurodegenerative Disease Unit, Centre for Rare Neurological Diseases (ERN-RND), Department of Neuroscience, Padua Neuroscience Center (PNC), University of Padova, Padua, Italy. angelo.antonini@unipd.it.ORCID http://orcid.org/0000-0003-1040-2807
Anna Rita BentivoglioUOC Neurologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS-Università Cattolica del Sacro Cuore, Rome, Italy.
Giovanna Calandra-BuonauraDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.
Roberto CeravoloCentro Clinico Malattie Neurodegenerative Parkinson e Disordini del Movimento, Università di Pisa-Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Valentina LetaDepartment of Clinical Neurosciences, Parkinson and Movement Disorders Unit, Fondazione IRCCS Istituto Neurologico "Carlo Besta", Milan, Italy.
Maria Teresa PellecchiaNeuroscience Section, Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Salerno, Italy.
Andrea PilottoNeurology Unit, Department of continuity of care and frailty ASST, Brescia, Italy.
Alessandra NicolettiDepartment of Medical, Surgical Sciences and Advanced Technologies G.F. Ingrassia, University of Catania, Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is an underrecognized and undertreated condition in Parkinson's disease (PD). The development of updated, individualized management strategies represents an important unmet need for clinicians and care providers. This review examines the use of trazodone, focusing on its mechanism of action, and proposes a practical algorithm for its use in the management of depression in patients with PD. MATERIALS AND

methodsSeven neurologists, experts in movement disorders took part in a structured panel on depression management to exchange ideas and experiences for the implementation of best practice.

resultsThe experts agreed that trazodone can be beneficial in PD patients with comorbid depression. The treatment algorithm proposed considers patients in early or more advanced stages of PD. In early stages with mood alterations and anxiety, the suggested treatments are a mood stabilizer, trazodone, or a tricyclic antidepressant. Serotonergic therapy or an SNRI should be considered for patients with low mood but no agitation. In presence of depressive mood with predominant insomnia, high-dose trazodone should be considered along with mirtazapine. In more advanced stages, in the presence of cognitive deficits without agitation low to medium dose trazodone can be considered along with mirtazapine. In case of cognitive deficits with agitation, low to medium dose trazodone is suggested.

conclusionsThe proposed algorithm may assist neurologists in the management of depression in patients with PD by providing specific recommendations on the role of trazodone across different clinical scenarios, allowing for individualized treatment.

Indexed as

AlgorithmsAntidepressive Agents, Second-GenerationDepressionParkinson DiseaseTrazodoneHumansAntidepressive Agents, Second-GenerationTrazodoneAlgorithmDepressionManagementParkinson's diseaseTrazodone

Identifiers

PMID42133121
PMCPMC13176029

What Socratic 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 Socratic graph.