The prognostic impact of C‐reactive protein and albumin in patients diagnosed with acute myeloid leukaemia

Heightened inflammation and suboptimal nutritional status correlate with unfavourable prognoses in AML patients. Such insights hold the potential for guiding clinical decision-making, offering easily accessible prognostic information for the induction treatment of eligible AML patients.

Authors

Institutions

Publication Details

Journal
eJHaem
Published
2024-10-17
DOI
https://doi.org/10.1002/jha2.1022
Citations
1
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The prognostic impact of C‐reactive protein and albumin in patients diagnosed with acute myeloid leukaemia

Øystein Wendelbo, Håkon Reikvam, Espen Talseth Skar
1 citations
eJHaem
Inflammatory Biomarkers in Disease Prognosis
0.28
article

The prognostic impact of C‐reactive protein and albumin in patients diagnosed with acute myeloid leukaemia

Øystein Wendelbo, Håkon Reikvam, Espen Talseth Skar
article en
1 citations

Abstract

Heightened inflammation and suboptimal nutritional status correlate with unfavourable prognoses in AML patients. Such insights hold the potential for guiding clinical decision-making, offering easily accessible prognostic information for the induction treatment of eligible AML patients.

eJHaemVol. 5(6)
Haukeland University Hospital (NO), VID Specialized University (NO), University of Bergen (NO)
Zero hunger
Openalex Percentile: Top 35%
Inflammatory Biomarkers in Disease Prognosis
0.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.