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Two relevant titles were found by hand search.
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All titles and subsequently the abstracts of all relevant titles were screened on relevance by two authors individually (MB and ES).
Two authors (EL and JX) retrieved potentially relevant titles for full text review and transcribed data from eligible studies onto a prespecified proforma.
We then hand-searched relevant titles from the bibliographies and conducted a citation search on each of the first five published RCTs.
There were few relevant titles.
The subsequent title screen of articles identified 304 potentially relevant titles for the abstract review stage.
All relevant titles and abstracts were screened (level 1).
At this step, 29 relevant titles were selected.
Reference lists were then hand searched for additional relevant titles.
Abstracts of the potentially relevant titles were retrieved.
Our PubMed search yielded 3931 potentially relevant titles of studies.
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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