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All anesthetic records were scrutinized to ensure that every block that was performed was captured in the database.
Stage 2 (Article retrieval) - All abstracts from the Medline searches were scrutinized to identify articles that reported clinical results.
Additionally, reference lists of articles found were inspected, and relevant review articles [20, 28, 41] were scrutinized to identify further evidence.
The data were scrutinized to determine peptides/proteins with greater abundances in cancer vs. control samples (spectral count analysis).
Mobility-related items were scrutinized to avoid redundancy.
Group averages were constructed and the averaged ERPs were scrutinized to identify ERP peaks and troughs.
The reference lists of retrieved articles were scrutinized to identify additional relevant studies.
The protein-coding regions containing LCRs were scrutinized to determine whether they had "suitable" flanking regions.
The patient's medical files were scrutinized to assess postoperative complications within 30 days after surgery.
The trials' reports were scrutinized to ensure that multiple publications from the same trial were included only once.
Data were entered directly in a computer by the interviewers, which were scrutinized to detect and correct errors.
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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