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.