Data Extraction
The two reviewers will independently extract the following data onto an excel spreadsheet, in terms of study characteristics: number of individuals randomized to each diet, length of study, diet composition, and retention rates. In terms of population characteristics, the following will be extracted: age and mean BMI, gender, baseline and final measures of; mean LDL-C, HDL-C, TAG, and TC. Each reviewer will independently use the Cochrane risk of bias tool 2.0 (Higgins PT Julian, Savović Jelena , Page J Matthew, Elbers G Roy, 2020) to evaluate the degree of bias in each study and a third reviewer will be invited to reach a consensus in cases of disagreement in the risk of bias of a study. Risk of bias will be judged as ”low-risk of bias, some concerns, or high-risk of bias” and evaluated according to the following domains: bias from the randomization process, bias due to deviations from intended interventions, bias due to missing outcome data, bias in measurement of the outcome, and bias in selection of the reported result.