Your English writing platform
Discover LudwigExact(7)
Data Extraction: Articles were assigned to 1 of 7 categories according to their primary area of intervention: attention, visual perception and constructional abilities, language and communication, memory, problem solving and executive functioning, multi-modal interventions, and comprehensive-holistic cognitive rehabilitation.
Most articles were assigned to three reviewers and some to four or more.
Spanish language articles were assigned to pairs in which both coders could fluently speak and read Spanish.
All individual articles were assigned a 'quality rating' according to the Oxford Centre for Evidence-Based Medicine guidelines for symptom prevalence studies [ 7].
These articles were assigned an evidence grade of A, B, or C depending on methodological quality and supporting evidence of the conclusions, based on a previously used adaptation of the American Diabetes Association's (ADA) evidence grading system [ 10, 11].
Similarly, the articles were assigned to one or more 'health system levels' that were the focus of attention for the study (the total adds up to more than 151): household and community (44, 29%), health service (108, 72%), national health sector (79, 52%), national beyond health sector (7, 5%) and cross border issues (9, 6%; table 1).
Similar(53)
The articles are assigned classes from a set of 118 topic categories.
Contemporary articles are assigned on a related topic every week, and a student leads discussions with input from faculty who are experts in the topic area.
Articles are assigned to the different databases according to the subject rather than the journal they are published in, so that articles from any one journal might appear in all three subject databases.
None of the 78 articles was assigned to more than one pair; pairs received a mix of RCTs and observational studies.
A random subset of 50 articles was assigned to a domain expert (a systematic reviewer) to arrive at category definitions and perform an inter-rater reliability assessment, measured by Cohen's kappa [ 48].
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