Evidence map›Paper›PMID 41877761›Full record

ReviewFrontiers in rehabilitation sciences2026

The effectiveness of respiratory training as a preventive strategy against cognitive decline: a mini review.

Th Zekis, E Grammatopoulou, D Tsimouris, V Sakellari, I Patsaki

Abstract readReview
In one paragraph

Review in Frontiers in rehabilitation sciences, 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.

Th Zekis *Laboratory of Advanced Physiotherapy, Department of Physiotherapy, University of West Attica, Athens, Greece.
E GrammatopoulouLaboratory of Advanced Physiotherapy, Department of Physiotherapy, University of West Attica, Athens, Greece.
D TsimourisLaboratory of Advanced Physiotherapy, Department of Physiotherapy, University of West Attica, Athens, Greece.
V SakellariLaboratory of Advanced Physiotherapy, Department of Physiotherapy, University of West Attica, Athens, Greece.
I Patsaki *Laboratory of Advanced Physiotherapy, Department of Physiotherapy, University of West Attica, Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive decline and dementia represent a growing global health burden, particularly among older adults and populations with cardiopulmonary and vascular risk factors. While physical exercise has been shown to exert protective effects on cognition, the role of respiratory muscle training (RMT) remains unclear. The aim of this review was to investigate the effects of RMT on cognitive function and cognitive decline. Respiratory muscle training has been implemented in older adults with elevated blood pressure, post-COVID-19 patients, patients with chronic obstructive pulmonary disease (COPD), and patients with obstructive sleep apnea (OSA). There is only preliminary evidence regarding the effectiveness of inspiratory muscle training (IMT) on cognitive function, with only one study reporting statistically significant between-group differences (i.e., respiratory muscle training vs. control) in specific cognitive domains. Although respiratory muscle training appears to be a potentially promising intervention for improving cognitive function, the current evidence is limited. Further well-designed randomized controlled trials are required to draw definitive conclusions regarding its preventive role in cognitive decline and dementia.

Indexed as

agingcognitiondementiainspiratory muscle trainingrespiratory muscle training

Identifiers

PMID41877761
PMCPMC13006410

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.