metabolic

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The goal of metabolic is to provide all the data and the tools necessary to reproduce the meta-analysis published in Medicine & Science in Sports & Exercise.

Installation

You can install the released version of metabolic from CRAN with:

 install.packages("metabolic")

You can install the development version of metabolic from from GitHub with:

 # install.packages("remotes")
remotes::install_github("fmmattioni/metabolic")

Datasets

Dataset to reproduce meta-analyses

metabolic::metabolic_meta
 #> # A tibble: 391 ×ばつ 21
 #> study endpoint population age category_age duration category_durati...
 #> <chr> <chr> <fct> <dbl> <fct> <dbl> <fct> 
 #> 1 Abdelbasset... BMI T2D 54.6 > 50 y 8 5 - 10 weeks 
 #> 2 Abdelbasset... HbA1c T2D 54.6 > 50 y 8 5 - 10 weeks 
 #> 3 Abdelbasset... HDL T2D 54.6 > 50 y 8 5 - 10 weeks 
 #> 4 Abdelbasset... HOMA-IR T2D 54.6 > 50 y 8 5 - 10 weeks 
 #> 5 Abdelbasset... LDL T2D 54.6 > 50 y 8 5 - 10 weeks 
 #> 6 Abdelbasset... Total C... T2D 54.6 > 50 y 8 5 - 10 weeks 
 #> 7 Abdelbasset... Triglyc... T2D 54.6 > 50 y 8 5 - 10 weeks 
 #> 8 Bækkerud 20... Body Ma... Overweigh... 40 30 - 50 y 6 5 - 10 weeks 
 #> 9 Bækkerud 20... Flow-me... Overweigh... 40 30 - 50 y 6 5 - 10 weeks 
 #> 10 Bækkerud 20... VO2max Overweigh... 40 30 - 50 y 6 5 - 10 weeks 
 #> # ... with 381 more rows, and 14 more variables: men_ratio <dbl>,
 #> # category_men_ratio <fct>, type_exercise <chr>, bsln <dbl>,
 #> # bsln_adjusted <dbl>, category_bsln <fct>, N_HIIE <dbl>, Mean_HIIE <dbl>,
 #> # SD_HIIE <dbl>, N_MICT <dbl>, Mean_MICT <dbl>, SD_MICT <dbl>, HIIE <chr>,
 #> # desired_effect <chr>

Dataset to build the GOfER diagram

metabolic::metabolic_gofer
 #> # A tibble: 115 ×ばつ 33
 #> study groups sample_populati... sample_fitness sample_men_ratio anamnese_smoker
 #> <chr> <chr> <chr> <chr> <dbl> <chr> 
 #> 1 Abde... HIIT "T2D" N/R 0.63 N 
 #> 2 Abde... MICT "T2D" N/R 0.53 N 
 #> 3 Bækk... HIIT "Overweight\nOb... Sedentary 0.41 N/R 
 #> 4 Bækk... MICT "Overweight\nOb... Sedentary 0.41 N/R 
 #> 5 Beet... HIIT "Overweight\nOb... Active 0.66 N/R 
 #> 6 Beet... MICT "Overweight\nOb... Active 0.8 N/R 
 #> 7 Burg... SIT "Healthy" Sedentary 0.5 N/R 
 #> 8 Burg... MICT "Healthy" Sedentary 0.5 N/R 
 #> 9 Ciol... HIIT "Healthy" Sedentary 0 N 
 #> 10 Ciol... MICT "Healthy" Sedentary 0 N 
 #> # ... with 105 more rows, and 27 more variables:
 #> # anamnese_medicines_to_control_BP <chr>, age <dbl>,
 #> # design_type_of_exercise <chr>, design_sample_size <chr>,
 #> # design_training_duration <dbl>, design_training_frequency <chr>,
 #> # design_exercise_intensity <chr>, hiie_n_reps <chr>,
 #> # hiie_rep_duration <chr>, hiie_work_rest_ratio <chr>, compliance <dbl>,
 #> # endpoints_vo2max <chr>, endpoints_fmd <chr>, endpoints_body_mass <chr>, ...

Reproduce meta-analysis for each clinical endpoint

 library(metabolic)
 
 perform_meta(endpoint = "VO2max")
 #> ────────────────────────── * VO2max meta-analysis * ──────────────────────────
 #> ✔ 'Overall'
 #> ✔ └─ Performing meta-analysis
 #> ✔ └─ Performing sensitivity analysis
 #> ✔ └─ Meta-analysis results are robust! Keep going!
 #> ✔ Performing meta-analysis and meta-regression on the Population subgroup
 #> 
 #> ✔ Performing meta-analysis and meta-regression on the Age subgroup
 #> 
 #> ✔ Performing meta-analysis and meta-regression on the Training Duration subgroup
 #> 
 #> ✔ Performing meta-analysis and meta-regression on the Men Ratio subgroup
 #> 
 #> ✔ Performing meta-analysis and meta-regression on the Type of Exercise subgroup
 #> 
 #> ✔ Performing meta-analysis and meta-regression on the Baseline subgroup
 #> 
 #> ✔ Performing meta-analysis and meta-regression on the Type of HIIE subgroup
 #> 
 #> ────────────────────────────────── * DONE * ──────────────────────────────────
 #> # A tibble: 8 ×ばつ 4
 #> subgroup meta_analysis sensitivity_analysis meta_regression
 #> <chr> <named list> <named list> <named list> 
 #> 1 Overall <metacont> <metainf> <lgl [1]> 
 #> 2 Population <metacont> <lgl [1]> <metareg> 
 #> 3 Age <metacont> <lgl [1]> <metareg> 
 #> 4 Training Duration <metacont> <lgl [1]> <metareg> 
 #> 5 Men Ratio <metacont> <lgl [1]> <metareg> 
 #> 6 Type of Exercise <metacont> <lgl [1]> <metareg> 
 #> 7 Baseline Values <metacont> <lgl [1]> <metareg> 
 #> 8 Type of HIIE <metacont> <lgl [1]> <metareg>

Build a GOfER (Graphical Overview for Evidence Reviews) diagram

Citation

 citation("metabolic")
 #> 
 #> To cite metabolic in publications use:
 #> 
 #> Maturana M, Felipe, Martus, Peter, Zipfel, Stephan, Nieß, M A (2020).
 #> "Effectiveness of HIIE versus MICT in Improving Cardiometabolic Risk
 #> Factors in Health and Disease: a meta-anaylsis." _Medicine & Science in
 #> Sports & Exercise_, *Published Ahead of Print*. doi:
 #> 10.1249/MSS.0000000000002506 (URL:
 #> https://doi.org/10.1249/MSS.0000000000002506), <URL:
 #> https://journals.lww.com/acsm-msse/Abstract/9000/Effectiveness_of_HIIE_versus_MICT_in_Improving.96194.aspx>.
 #> 
 #> A BibTeX entry for LaTeX users is
 #> 
 #> @Article{,
 #> title = {Effectiveness of HIIE versus MICT in Improving Cardiometabolic Risk Factors in Health and Disease: a meta-anaylsis},
 #> author = {Mattioni Maturana and {Felipe} and {Martus} and {Peter} and {Zipfel} and {Stephan} and {Nieß} and Andreas M},
 #> journal = {Medicine & Science in Sports & Exercise},
 #> volume = {Published Ahead of Print},
 #> year = {2020},
 #> url = {https://journals.lww.com/acsm-msse/Abstract/9000/Effectiveness_of_HIIE_versus_MICT_in_Improving.96194.aspx},
 #> doi = {10.1249/MSS.0000000000002506},
 #> }