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Two independent reviewers used a predesigned data extraction table to extract the data.
Using a data extraction table, two reviewers independently extracted data.
Besides the data reported in the data extraction table, EMG data were extracted from the articles in order to perform a meta-analysis.
The first author (GS) developed the data extraction table and piloted it by extracting data on one study.
From the included articles, information about the following aspects was extracted and summarized in a data extraction table (Online Resource 2): study population, study design, computer task, induced stressor(s), wash-out period, and muscles measured.
Quality was assessed independently by two investigators (K.B. and R.I.G.H ., who also extracted data independently by using a standardized data extraction table.
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Data were extracted using data extraction tables specifically developed for the systematic review.
Study characteristics (the population(s) the instrument was developed for, validated with, and subsequently applied to, the mode of completion) and psychometric data addressing relevant quality criteria were extracted into purposively developed data extraction tables.
Following pre-testing, data extraction tables were finalised to accurately extract information on the symptoms and subjective experiences of patients including patient quotes where relevant.
Data were manually extracted from articles into two pre-developed data extraction tables based on the research questions asked of the data – the tables were populated by means of extracting the relevant information (Tables 1 and 2).
We then extracted the components for each disease using the three data extraction tables.
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