Your English writing platform
Discover LudwigSuggestions(4)
Exact(1)
There were no identified variations between the different age subgroups: under 75 years, between 76 85 years or older than 85 years or between women with or without a history of breast cancer.
Similar(59)
Sufficient data were reported in the included studies for us to calculate the combined ORs by the different age subgroups and by different disability-type subgroups.
A chi-square test estimated the constituent ratio of MMSE scores between different age subgroups.
The results of subgroup analyses stratified by age and gender were presented in online supplementary appendix 2. In general, the relationship between the number of ideal CVH and CVH categories, and educational levels did not differ significantly in different age subgroups (≤18, ≥20, ≥25 and ≤60 years) with exceptions for study participants ≥25 years only in the low versus high educational group.
Additionally, these analyses were repeated for the association between continuous BMI and depression in the different age and gender subgroups.
These patterns are similar in the different age and sex subgroups (table 3).
When relating mortality risk to the initial 12-month fall in A1C (Fig. 3 C and D ), we could not conclude that the shape of the lines between the two age subgroups were different within intensive (P = 0.24) or standard (P = 0.23) arms; however, the location of the lines were higher for older participants in both intensive (P = 0.03) and standard (P < 0.01) arms.
The difference between age subgroups (children versus adolescents) was significant (p = 0.029).
To analyse compliance, the distribution of several indices was compared between the two age subgroups.
For example, the incidence and severity of hypertension as a DRAE was not substantially different between age subgroups despite the numerically higher incidence of comorbid hypertension in older patients than in younger patients.
Table 3 reports the physical component score and Table 4 the mental component score of the SF-36 for comparisons between different subgroups including age subgroups dichotomised around the median values for all ICU admissions including severity of illness (by APACHE II score), APACHE II chronic health evaluation, ICU length of stay and for ICU admission types (surgical and medical).
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