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Record W4416419294 · doi:10.1186/s13643-025-02982-1

Effectiveness of inspiratory muscle training and multicomponent physical training in patients with post-COVID conditions: a systematic review and meta-analysis

2025· article· en· W4416419294 on OpenAlexaff
Fernanda Ribeiro, Fábio Ferreira Amorim, Paulo Ricardo Giusti da Silva, Maria Stella Peccin, Aline Mizusaki Imoto

Bibliographic record

VenueSystematic Reviews · 2025
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsCentre de Santé et de Services Sociaux de ChicoutimiUniversité du Québec à Chicoutimi
FundersUniversidade de São Paulo
KeywordsTraining (meteorology)MEDLINEBreathing exercisesMuscle strengthExercise therapy

Abstract

fetched live from OpenAlex

BACKGROUND: There is evidence that fatigue and dyspnea are among the most frequently reported symptoms of post-COVID condition. Therefore, several studies have investigated respiratory muscle or global peripheral muscle training as strategies to manage those symptoms. Despite evidence of potential benefits, conflicting results persist due to the heterogeneity of rehabilitation protocols and assessment tools. Thereby, the objective of this systematic review was to evaluate the effectiveness of inspiratory muscle training and multicomponent physical training in adults with dyspnea and fatigue for at least 12 weeks after COVID-19. METHOD: A search was conducted in September 2024, in the Cochrane Library (Cochrane Central Register of Controlled Trials), EMBASE, PubMed/MEDLINE, PEDro, Lilacs/BVS, Web of Science, Scopus, and Epistemonikos databases. The inclusion criteria were randomized clinical trials published in any language that evaluated the effectiveness of inspiratory muscle training and multicomponent physical training to improve fatigue, dyspnea, and/or physical function in adults with persistent post-COVID symptoms. The risk of bias of the included studies and the certainty of the evidence were assessed using the RoB 2 and GRADE tools, respectively. RESULTS: ) (MD = 4.49; 95% CI: 3.35 to 5.62). Multicomponent physical training significantly improved the upper and lower body muscle strength through the handgrip strength (MD = 3.05; 95% CI: 1.68 to 4.42), sit-to-stand test (MD = 3.55; 95% CI: 1.61 to 5.49), and timed up and go test (MD = - 1.13; 95% CI: - 1.49 to - 0.77) and the physical functioning were assessed through post-COVID-19 functional scale (MD = - 0.64; 95% CI: - 1.13 to - 0.16) and physical aspects through SF-12 and SF-36 (SMD = 0.72; 95% CI: 0.29 to 1.15). No adverse events were reported among participants in the physical training group, and treatment adherence ranged from 78 to 100%. CONCLUSION: Inspiratory muscle training improved cardiorespiratory outcomes, while multicomponent physical training improved muscle strength, physical functioning, and fatigue. Both types of training improve physical functioning. The certainty of evidence for the outcomes evaluated was low. SYSTEMATIC REVIEW REGISTRATION: PROSPERO (CRD42023451057).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.029
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0240.041
Bibliometrics0.0080.007
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.346
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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