Fluoxetine for stroke recovery: Meta-analysis of randomized controlled trials.


Journal

International journal of stroke : official journal of the International Stroke Society
ISSN: 1747-4949
Titre abrégé: Int J Stroke
Pays: United States
ID NLM: 101274068

Informations de publication

Date de publication:
06 2020
Historique:
pubmed: 18 10 2019
medline: 26 10 2021
entrez: 18 10 2019
Statut: ppublish

Résumé

To determine whether fluoxetine, at any dose, given within the first year after stroke to patients who did not have to have mood disorders at randomization reduced disability, dependency, neurological deficits and fatigue; improved motor function, mood, and cognition at the end of treatment and follow-up, with the same number or fewer adverse effects. Searches (from 2012) in July 2018 included databases, trials registers, reference lists, and contact with experts. Co-primary outcomes were dependence and disability. Dichotomous data were synthesized using risk ratios (RR) and continuous data using standardized mean differences (SMD). Quality was appraised using Cochrane risk of bias methods. Sensitivity analyses explored influence of study quality. The searches identified 3414 references of which 499 full texts were assessed for eligibility. Six new completed RCTs (n = 3710) were eligible, and were added to the seven trials identified in a 2012 Cochrane review (total: 13 trials, n = 4145). There was no difference in the proportion independent (3 trials, n = 3249, 36.6% fluoxetine vs. 36.7% control; RR 1.00, 95% confidence interval 0.91 to 1.09, p = 0.99, I This class I evidence demonstrates that fluoxetine does not reduce disability and dependency after stroke but improves depression.

Identifiants

pubmed: 31619137
doi: 10.1177/1747493019879655
doi:

Substances chimiques

Fluoxetine 01K63SUP8D

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

365-376

Auteurs

Gillian E Mead (GE)

Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.

Lynn Legg (L)

Department of Medicine for the Elderly, Royal Alexandra Hospital, Paisley.

Russel Tilney (R)

Department of Neuroscience, Mater Dei Hospital, Msida, Malta.

Cheng Fang Hsieh (CF)

Division of Geriatrics and Gerontology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung.
Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung.

Simiao Wu (S)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.

Erik Lundström (E)

Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden.
Department of Neuroscience, Neurology, Uppsala University, Uppsala, Sweden.

Ann Sofie Rudberg (AS)

Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden.
Department of Neurology, Danderyd hospital, Sweden.

Mansur Kutlubaev (M)

Department of Neurology, G.G. Kuvatov Republican Clinical Hospital, Ufa, Russia.
Department of Neurology, Bashkir State Medical University, Ufa, Russia.

Martin S Dennis (MS)

Stroke Medicine, University of Edinburgh, Edinburgh, UK.

Babak Soleimani (B)

NHS Lothian, Edinburgh, UK.

Amanda Barugh (A)

NHS Lothian, Edinburgh, UK.

Maree L Hackett (ML)

Faculty of Medicine, UNSW Sydney, Sydney, Australia.
The University of Central Lancashire, Lancashire, UK.
The George Institute for Global Health, UNSW, Sydney, Australia.

Graeme J Hankey (GJ)

Medical School, The University of Western Australia, Perth, Australia.

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Classifications MeSH