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Prediction of outcome in individuals with diabetic foot ulcers: focus on the differences between individuals with and without peripheral arterial disease. The Eurdiale Study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F08%3A00001944" target="_blank" >RIV/00023001:_____/08:00001944 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Prediction of outcome in individuals with diabetic foot ulcers: focus on the differences between individuals with and without peripheral arterial disease. The Eurdiale Study

  • Original language description

    co morbidities; diabetes; foot ulcer; infection; non-healing; outcome; peripheral arterial disease; predictive model

  • Czech name

    Predikce výsledků léčby diabetických pacientů s ulceracemi nohy: zaměření se na rozdíly mezi jednotlivci s a bez periferiálním arteriálním onemocněním. Studie Eurodiale

  • Czech description

    komorbidita; diabetes; noha-vřed; infekce; periferiální arteriální onemocnění

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FB - Endocrinology, diabetology, metabolism, nutrition

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2008

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Diabetologia

  • ISSN

    0012-186X

  • e-ISSN

  • Volume of the periodical

    51

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    9

  • Pages from-to

  • UT code for WoS article

    000254750400007

  • EID of the result in the Scopus database