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Record W4316466501 · doi:10.1093/nutrit/nuac111

Author’s reply: Letter to the Editor: Double counting due to inadequate statistics leads to false-positive findings in “Effects of creatine supplementation on memory in healthy individuals: a systematic review and meta-analysis of randomized controlled trials”

2023· review· en· W4316466501 on OpenAlexaff
Konstantinos Prokopidis, Panagiotis Giannos, Konstantinos Katsikas Triantafyllidis, Konstantinos S. Kechagias, Scott C. Forbes, Darren G. Candow

Bibliographic record

VenueNutrition Reviews · 2023
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsUniversity of ReginaBrandon University
Fundersnot available
KeywordsConfidence intervalCreatineStrictly standardized mean differenceMeta-analysisMedicineInternal medicineGerontology

Abstract

fetched live from OpenAlex

In their Letter to the Editor, Eckert and Pascher1 correctly identified a flawed statistical analysis that warranted correction pertaining to the increased statistical power of our previous meta-analysis on creatine supplementation and memory performance.2 The inclusion of multiple memory-related outcomes from each study was accompanied with an increased number of the same participants (double counting). This could have altered the outcome estimates in the meta-analyses, indeed leading to an increased risk of false-positive findings. To address this, we have now derived the average effect size for studies presenting multiple memory performance outcomes (expressed as a composite score) through pooled means and standard deviations for each intervention group. After correction, our overall analysis showed that creatine monohydrate does not improve overall memory performance (standardized mean difference [SMD], 0.19; 95% confidence interval [CI], –0.07, 0.46; I2 = 4%; P = 0.15) (Figure 1). Subgroup analyses revealed no differences of creatine monohydrate supplementation with low (≤5 g/day; SMD, 0.25; 95%CI, –0.14, 0.64; I2 = 0%; P = 0.21) or high (>5 g/d; SMD, 0.17; 95%CI, –0.34, 0.69; I2 = 50%; P = 0.51) doses (Figure 2A). However, although young adults (aged 11–31 years) did not benefit from creatine monohydrate (SMD, 0.02; 95%CI, –0.27, 0.31; I2 = 0%, P = 0.90), its effects were prominent in older adults (aged 66–76 years; SMD, 0.80; 95%CI, 0.25–1.34; I2 = 0%; P = 0.004) (Figure 2B), which was the main finding of our previous work.2 Furthermore, no changes were displayed regarding treatment duration (≤2 weeks: SMD, 0.16 [95%CI, –0.23, 0.56], I2 = 33%, P = 0.42; >2 weeks: SMD, 0.30 [95%CI, –0.17, 0.76], I2 = 0%, P = 0.21) (Figure 2C) nor sex (women and men: SMD, 0.18 [95%CI, –0.20, 0.56, I2 = 31%, P = 0.36; women: SMD, 0.42 [95%CI, –0.14, 0.98], I2 = 0%, P = 0.14; men: SMD, –0.11 [95%CI, –1.01, 0.79], P = 0.81) (Figure 2D). Our sensitivity analyses showed no effects of creatine monohydrate on memory performance in nonencapsulated form (SMD, 0.22; 95%CI, –0.08, 0.52; I2 = 16%; P = 0.15) (Figure 3A), normal (SMD, 0.29; 95%CI, –0.09, 0.68; I2 = 35%; P = 0.14) or stressed conditions (SMD, 0.03; 95%CI, –0.46, 0.52; I2 = 0%; P = 0.91) (Figure 3B), and participants lost to follow-up (<15%) (SMD, 0.28; 95%CI, –0.02, 0.59; I2 = 1%; P = 0.07) (Figure 3C).

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)0.029
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.731
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0290.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0240.002
Bibliometrics0.0010.002
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 head0.076
GPT teacher head0.397
Teacher spread0.321 · 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.

Study designSystematic review
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

Citations3
Published2023
Admission routes1
Has abstractyes

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