Your English writing platform
Discover LudwigSuggestions(1)
Exact(2)
We used general linear models to examine the association between each medication at baseline and weight change at the 1- and 2-year visits.
We fit a linear regression of change in weight and A1C and used general linear models to examine the association between each medication at baseline and weight change at the 2-year visit, stratified by glycemia allocation.
Similar(58)
We defined time to follow-up as the mean time between each medication intensification and the next visit at which blood pressure was recorded.
Patient's visual analog scale (VAS) was recorded before each medication and at study completion.
Patients who reported use of each cardiac medication at 1 year were considered adherent.
The nursing staff confirmed the compliance of patients at each medication.
There was no significant difference between the numbers of medication at 3, 6, or 12 months after SLT (all P > 0.05) (Table 1 and Figure 2).
Each medication and each patient had at least one type of medication administration error.
They had to have been on each medication (previous and current) for at least one week, with no more than one year elapsed between product usages, and the patient reported that the reason for switching products was dissatisfaction with loratadine.
The subjects returned their medication at each visit and received new medication for a next study period of 3 months.
Medication reconciliation, ongoing assessment of the indications for each medication, and the assessment of medication adherence and barriers are needed at each visit.
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