Ontology highlight
ABSTRACT:
SUBMITTER: Simioni N
PROVIDER: S-EPMC5959971 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature
Simioni N N Berra C C Boemi M M Bossi A C AC Candido R R Di Cianni G G Frontoni S S Genovese S S Ponzani P P Provenzano V V Russo G T GT Sciangula L L Lapolla A A Bette C C Rossi M C MC
Acta diabetologica 20180312 6
<h4>Aims</h4>There is an unmet need among healthcare providers to identify subgroups of patients with type 2 diabetes who are most likely to respond to treatment.<h4>Methods</h4>Data were taken from electronic medical records of participants of an observational, retrospective study in Italy. We used logistic regression models to assess the odds of achieving glycated haemoglobin (HbA<sub>1c</sub>) reduction ≥ 1.0% point after 12-month treatment with liraglutide (primary endpoint), according to va ...[more]