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The association between ischemic preconditioning and exercise performance: a systematic review and meta-analysis

2023· review· en· W4378674220 on OpenAlexaff
Ellen Gorman, Jonathon W. Senefeld, Erik A. Ovrom, Andrew J. Clayburn, Michael J. Joyner, Jamie F. Burr, Chad C. Wiggins

Bibliographic record

VenuePhysiology · 2023
Typereview
Languageen
FieldMedicine
TopicCardiac Ischemia and Reperfusion
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMeta-analysisMedicineConfidence intervalContext (archaeology)Web of scienceSystematic reviewScopusAerobic exerciseStrictly standardized mean differenceInternal medicineIschemic preconditioningPhysical therapyMEDLINEIschemiaBiology

Abstract

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Purpose: The present work was performed to provide an updated and comprehensive systematic review and meta-analysis on the potential ergogenic effects associated with ischemic preconditioning (IPC). In this context, this systematic review and meta-analysis aimed to determine the magnitude of the potential ergogenic effect of IPC and the influence of descriptive factors that contribute to the variability of its potential ergogenic effect. We hypothesized that IPC would be associated with improved exercise performance, and putative factors would modulate this association. Methods: On October 17, 2022, a systematic search of three databases (PubMed, Scopus, and Web of Science) was performed. The electronic search yielded 2,876 unique records, of which 79 were included in analyses after abstract and full-text screening. Eligible study designs included within subjects cross-over, sham controlled study, with a randomized or counter balanced study design. Prespecified analyses aimed to determine whether the ergogenic effect of IPC is influenced by: 1) exercise parameters (type of exercise, fraction of inspired oxygen, and muscle group(s) involved in exercise) and 2) IPC parameters (dosage, duration, and timing before onset of exercise). Results: The meta-analysis model demonstrated that exercise performance was improved with IPC compared to the sham control (pooled standard paired difference (SPD), 0.156; 95% confidence interval (CI), 0.084 to 0.227; Z = 4.258; P < 0.001; n = 105). Both remote IPC (pooled SPD, 0.219; 95% CI, 0.071 to 0.368; Z = 2.894; P = 0.004) and local IPC (pooled SPD, 0.159; 95% CI, 0.088 to 0.231; Z = 4.386; P < 0.001) demonstrated ergogenic effects on performance. Subgroup analyses based on the fraction of inspired oxygen level revealed improved exercise performance in normoxic (pooled SPD, 0.169; 95% CI, 0.100 to 0.237; Z = 4.805; P < 0.001) but not hypoxic (pooled SPD, 0.160; 95% CI, -0.029 to 0.349; Z = 1.659; P = 0.097) conditions. The most notable improvement in exercise performance following IPC was demonstrated during cycling (pooled SPD, 0.116; 95% CI, 0.023 to 0.209; Z = 2.454; P = 0.014), running (pooled SPD, 0.180; 95% CI, 0.056 to 0.303; Z = 2.847; P = 0.004), and leg press (pooled SPD, 0.421; 95% CI, 0.034 to 0.808; Z = 2.131; P = 0.033) performance tests. Conclusion: Overall, IPC demonstrated a clear ergogenic effect on exercise performance across various exercise modalities under normoxic environmental conditions. The enhanced exercise performance following IPC was most pronounced in aerobic tests of performance which predominantly recruited large muscle groups in the lower extremities: cycling, running, and leg press. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.851
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.058
GPT teacher head0.345
Teacher spread0.286 · 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 teacher head, not a consensus.

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

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

Citations1
Published2023
Admission routes1
Has abstractyes

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