Evidence map›Paper›PMID 39691271›Full record

ArticleEJHaem2024

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

Espen Talseth Skar, Øystein Wendelbo, Håkon Reikvam

Abstract read
In one paragraph

Article in EJHaem, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. The Prognostic Value of C-Reactive Protein and Albumin in Newly Diagnosed Patients with AML.International journal of hematology-oncology and stem cell research · 2025
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Espen Talseth SkarDepartment of Clinical Science, University of Bergen K.G. Jebsen Center for Myeloid Blood Cancer Bergen Norway.ORCID https://orcid.org/0009-0001-9721-4202
Øystein WendelboDepartment of Medicine Haukeland University Hospital Bergen Norway.
Håkon ReikvamDepartment of Clinical Science, University of Bergen K.G. Jebsen Center for Myeloid Blood Cancer Bergen Norway.ORCID https://orcid.org/0000-0001-5439-8411

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute myeloid leukaemia (AML) is an aggressive and heterogeneous malignant disease. Patient age, comorbidities and disease-specific genetic abnormalities are recognized as primary determinants of treatment response. Recent years have elucidated the significance of nutritional status and inflammation across various malignancies, including AML, in influencing treatment outcomes. Aims: To assess the prognostic value of the C-reactive protein-albumin ratio (CAR) and the Glasgow Prognostic Score (GPS) in predicting overall survival (OS) rates among patients diagnosed with AML. Material and methods: 189 AML patients receiving standard cytarabine and anthracycline-based induction treatment were included. Baseline demographic, clinical and laboratory data were collected, and treatment outcomes and survival were registered for all patients. Results: No significant association between CAR and prognosis among AML patients was found, even in subgroup analyses. Hypoalbuminemia was an independent predictor of poor survival among all patients (OS 28 vs. 16 months; Conclusion: 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.

Indexed as

acute myeloid leukaemiaCRP‐albumin ratioGlasgow Prognostic Score

Identifiers

PMID39691271
PMCPMC11647729

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.