Predictive Capacity of Biomarkers for Severe Acute Pancreatitis.
(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:
https://lup.lub.lu.se/record/8856503
- author
- Sternby, Hanna LU ; Hartman Magnusson, Hannes LU ; Johansen, Dorthe LU ; Thorlacius, Henrik LU and Regnér, Sara LU
- organization
- publishing date
- 2016
- 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}}, }