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Predictive Capacity of Biomarkers for Severe Acute Pancreatitis.

Sternby, Hanna LU ; Hartman Magnusson, Hannes LU ; Johansen, Dorthe LU ; Thorlacius, Henrik LU and Regnér, Sara LU orcid (2016) In European Surgical Research 56(3-4). p.154-163
Abstract
Early prediction of severe acute pancreatitis (SAP) substantially improves treatment of patients. A large amount of biomarkers have been studied with this objective. The aim of this work was to study predictive biomarkers using preset cut-off levels in an unselected population of patients with acute pancreatitis (AP).
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
European Surgical Research
volume
56
issue
3-4
pages
154 - 163
publisher
Karger
external identifiers
  • pmid:26934575
  • scopus:84961201775
  • pmid:26934575
  • wos:000375160000007
ISSN
0014-312X
DOI
10.1159/000444141
language
English
LU publication?
yes
id
f3f55c31-7e48-42ab-8e3a-e58a87223248 (old id 8856503)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/26934575?dopt=Abstract
date added to LUP
2016-04-01 10:18:42
date last changed
2022-02-17 08:49:43
@article{f3f55c31-7e48-42ab-8e3a-e58a87223248,
  abstract     = {{Early prediction of severe acute pancreatitis (SAP) substantially improves treatment of patients. A large amount of biomarkers have been studied with this objective. The aim of this work was to study predictive biomarkers using preset cut-off levels in an unselected population of patients with acute pancreatitis (AP).}},
  author       = {{Sternby, Hanna and Hartman Magnusson, Hannes and Johansen, Dorthe and Thorlacius, Henrik and Regnér, Sara}},
  issn         = {{0014-312X}},
  language     = {{eng}},
  number       = {{3-4}},
  pages        = {{154--163}},
  publisher    = {{Karger}},
  series       = {{European Surgical Research}},
  title        = {{Predictive Capacity of Biomarkers for Severe Acute Pancreatitis.}},
  url          = {{http://dx.doi.org/10.1159/000444141}},
  doi          = {{10.1159/000444141}},
  volume       = {{56}},
  year         = {{2016}},
}