Evidence map›Paper›PMID 32789201›Full record

ArticleProgress in rehabilitation medicine2016

Real-world Effectiveness of Speech Therapy Time on Cognitive Recovery in Older Patients with Acute Stroke.

Kotomi Sakai, Ryo Momosaki

Open access · diamondAbstract read
In one paragraph

Article in Progress in rehabilitation medicine, 2016. 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, top 87% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  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

2 authors at 2 institutions in 1 country.

Kotomi SakaiDepartment of Rehabilitation Medicine, Setagaya Memorial Hospital, Tokyo, Japan.
Ryo MomosakiDepartment of Rehabilitation Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Jikei University School of Medicine · JPNihon University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this research was to investigate the real-world effectiveness of speech therapy time on cognitive recovery in older patients with acute stroke.

methodsThe participants of this retrospective cohort study were hospitalized patients with acute stroke registered in the Japan Rehabilitation Database between December 2005 and September 2014. The patients were divided into two groups according to the amount of time they spent undergoing speech therapy, i.e., a high-intensity speech therapy group and a control group. Multivariate linear regression analysis was performed to assess the association between cognitive Functional Independence Measure efficiency and high-intensity speech therapy.

resultsOf the 3341 eligible stroke patients (mean age: 77 years) extracted from the database, 53% received high-intensity speech therapy. Patients in the high-intensity speech therapy group had significantly higher cognitive Functional Independence Measure efficiency scores than those in the control group (mean, 0.17 vs. 0.10, respectively; P < 0.001). Multivariate regression analysis showed that cognitive Functional Independence Measure efficiency was significantly and positively correlated with high-intensity speech therapy (coefficient, 0.03; 95% confidence interval, 0.004-0.056; P = 0.026).

conclusionsThese data suggest that a large amount of speech therapy time in older patients with acute stroke is a significant predictor of good cognitive recovery. Increased amounts of speech therapy for such patients may lead to better cognitive recovery after stroke.

Indexed as

cognitive functionolder patientsrehabilitationspeech therapystroke

Identifiers

PMID32789201
PMCPMC7365185
OpenAlexW2525011770

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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.