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Potentially relevant articles were abstracted using standardized data abstraction form.
Two reviewers abstracted all of the data using the standardized data abstraction form, independently.
One reviewer abstracted pertinent data from each study into a standardized data abstraction form.
The medical records of patients with Definite and Unconfirmed cluster headache, as well as controls, were then hand-searched by one author (SJ), who abstracted information on headache characteristics, age at onset and age at diagnosis of CH, as well as relevant comorbidities using a standardized data abstraction form.
Chart review was performed by a clinician using a standardized data abstraction form.
We used an Excel standardized data abstraction form to extract data from each article.
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Standardized data abstraction forms and risk of bias forms were completed for all included studies.
Data from eligible studies will be extracted and compared independently by two authors, using a standard data abstraction form.
We reviewed each article that met the selection criteria and abstracted the data by using standardized data abstraction forms.
Two independent reviewers assessed articles for inclusion and extracted data using standardized data abstraction forms.
Three investigators (Ning Ma,Hui Cheng and Baodong Qin) searched the publications independently using standardized data abstraction forms.
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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