Exact(12)
All remaining articles were screened in full text.
The full manuscripts of all remaining articles were obtained.
Both reviewers independently screened abstracts of all remaining articles.
The full text was obtained for all remaining articles.
We obtained full text versions of all remaining articles.
Two investigators then reviewed the full text of all remaining articles and those with no abstracts.
Similar(48)
All those remaining articles I assume are of corporate origin, though this is likely to overestimate the non-academic origins.
All the remaining articles contain at least one 'false negative', i.e. a relation that was not detected by the text-mining system.
Almost all of the remaining articles addressed a general or unspecified disease sector (e.g. articles discussing organizational structure or the development of networks but not in the context of any specific disease) (n=75, 40.3%) with only three (1.6%) addressing cancer, five (2.7%) cardiovascular disease and two (1.1%) diabetes.
All references of the remaining articles were reviewed to retrieve articles initially missed in the search syntax.
Finally, the remaining articles, all reporting on aspects of validity of stiffness measures, were searched for information on performance in low disease activity or remission states by one author (LvT).
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