I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Some patients with type 2 diabetes may benefit from intensi..:
Jiao, Tianze
;
Kianmehr, Hamed
;
Lin, Yilu
...
Diabetes, Obesity and Metabolism. 26 (2024) 4 - p. 1502-1509 , 2024
Link:
https://doi.org/10.1111/dom.15453
RT Journal T1
Some patients with type 2 diabetes may benefit from intensive glycaemic and blood pressure control: A post‐hoc machine learning analysis of ACCORD trial data
UL https://suche.suub.uni-bremen.de/peid=cr-10.1111_dom.15453&Exemplar=1&LAN=DE A1 Jiao, Tianze A1 Kianmehr, Hamed A1 Lin, Yilu A1 Li, Piaopiao A1 Singh Ospina, Naykky A1 Ghayee, Hans K. A1 Ruzieh, Mohammed A1 Fonseca, Vivian A1 Shi, Lizheng A1 Zhang, Ping A1 Shao, Hui PB Wiley YR 2024 SN 1462-8902 SN 1463-1326 JF Diabetes, Obesity and Metabolism VO 26 IS 4 SP 1502 OP 1509 LK http://dx.doi.org/https://doi.org/10.1111/dom.15453 DO https://doi.org/10.1111/dom.15453 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)