Your English writing platform
Discover LudwigExact(33)
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.
After all data have been extracted from the included studies, the investigators will examine the extraction tables and determine whether meta-analysis is possible.
Similar(27)
Two independent reviewers used a predesigned data extraction table to extract the data.
Using a data extraction table, two reviewers independently extracted data.
With a standard extraction table, two investigators (Lin Huang and Nan Chen) extracted the data independently.
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.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com