Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/26366| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Avramovski, Petar | en_US |
| dc.contributor.author | Petlichkovski, Aleksandar | en_US |
| dc.contributor.author | Avramovska, Maja | en_US |
| dc.contributor.author | Ilkovska, Biljana | en_US |
| dc.contributor.author | Sotiroski, Kosta | en_US |
| dc.contributor.author | Nikleski, Zorica | en_US |
| dc.contributor.author | Shikole, Emilija | en_US |
| dc.date.accessioned | 2023-04-24T09:03:59Z | - |
| dc.date.available | 2023-04-24T09:03:59Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.issn | 0971-4065 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/26366 | - |
| dc.description.abstract | The gamma gap (γ-gap) represents the total serum protein concentration minus the albumin concentration. The main aim of this study was to test whether the gamma gap is a predictor of mortality and whether it is associated with other predictors of mortality in chronic hemodialysis patients (CHPs). | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | Indian journal of nephrology | en_US |
| dc.title | The Gamma Gap Predicts All-Cause Mortality in Chronic Dialysis Patients | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | 10.4103/ijn.IJN_342_19 | - |
| dc.identifier.volume | 31 | - |
| dc.identifier.issue | 3 | - |
| item.grantfulltext | none | - |
| item.fulltext | No Fulltext | - |
| crisitem.author.dept | Faculty of Medicine | - |
| Appears in Collections: | Faculty of Medicine: Journal Articles | |
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