Evidence map›Paper›PMID 40421472›Full record

SynthesisNeurodegenerative disease management2026

Use of antidepressants in early Huntington's Disease: a systematic review and meta-analysis.

Vishnu Tiwari, Sanjukta Dutta, Feras Alkharboush, Mario Renato Velit, Zelde Espinel

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Neurodegenerative disease management, 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

5 authors.

Vishnu TiwariUniversity of Miami/Jackson Memorial Hospital Psychiatry Residency Training Program, Miami, FL, USA.
Sanjukta DuttaUniversity of Miami Miller School of Medicine, Miami, FL, USA.
Feras AlkharboushJackson Behavioral Health Hospital, Miami, FL, USA.
Mario Renato VelitUniversity of Miami/Jackson Memorial Hospital Psychiatry Residency Training Program, Miami, FL, USA.
Zelde EspinelDepartment of Psychiatry, University of Miami Miller School of Medicine, Miami, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile neuropsychiatric symptoms are common in Huntington's Disease (HD), there is a dearth of evidence about the effectiveness of psychotropic medication for treating behavioral and cognitive symptoms. This article systematically reviews and aggregates the evidence of the effects of antidepressants on individuals with early HD.

methodsA systematic review and random-effects meta-analysis of RCTs comparing antidepressants to placebo in individuals with HD was performed, with a focus on outcomes of executive functioning, functional capacity, mood, motor function, and adverse events.

resultsA total of 4 studies with 123 of patients with early HD, of whom a total of 63 (51.2%) received an antidepressant, were identified in our search. In our pooled analysis, a modest but statistically significant improvement in mood resulted from antidepressant treatment in HD (OR -1.22; 95% CI -2.16,-0.27;

conclusionsOur investigation suggests that antidepressant use may modestly improve mood, but not ameliorate functional, cognitive, or movement-related symptoms in mild HD. Further studies involving novel agents, larger samples, and longer follow-up times are needed to better characterize the effect of antidepressants on neuropsychiatric symptoms in HD.

Indexed as

Antidepressive AgentsHuntington DiseaseHumansAntidepressive Agentsclinical trialscomparative effectiveness researchdrug deliveryHuntington’s Diseaseoutcomes research

Identifiers

PMID40421472
PMCPMC12826738

What OpenQuestion holds

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Registered trials

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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.