Evidence map›Paper›PMID 41357357›Full record

ArticleAdvances in hematology2025

Hematological Biomarkers in Predicting Progression and Complications of Chronic Kidney Disease Among Adult Patients.

Collince Odiwuor Ogolla, Lucy W Karani, Stanslaus Musyoki, Phidelis Maruti

Abstract read
In one paragraph

Article in Advances in hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Collince Odiwuor OgollaDepartment of Applied Health Science, School of Health Science, Kisii University, P.O. Box 408-40200, Kisii, Kenya, kisiiuniversity.ac.ke.ORCID https://orcid.org/0000-0001-6176-8935
Lucy W KaraniDepartment of Applied Health Science, School of Health Science, Kisii University, P.O. Box 408-40200, Kisii, Kenya, kisiiuniversity.ac.ke.ORCID https://orcid.org/0000-0002-7302-0374
Stanslaus MusyokiDepartment of Medical Laboratory Science, School of Health Science, South Eastern Kenya University, P.O. Box 170-90200, Kitui, Kenya, seku.ac.ke.
Phidelis MarutiDepartment of Medical Laboratory Science, School of Health Science, Kisii University, P.O. Box 408-40200, Kisii, Kenya, kisiiuniversity.ac.ke.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: CKD is a progressive disorder that is commonly associated with hematological abnormalities. Objective: The objective of the study was to evaluate the role of hematological biomarkers in predicting CKD progression and related complications in adult patients. Methods: The retrospective cross-sectional study evaluated hematological parameters such as hemoglobin, RBC, WBC, platelet, and NLR; comorbidities; and CKD stages were recorded for analysis. Statistical analysis methods used included ANOVA, Chi-square, multiple logistic regression, Pearson correlation analyses, and ROC curve analysis. The study was conducted under strict adherence to the principles and guidelines of the Helsinki Declaration (2013). Results: The mean age was 56.2 ± 14.8 years, with males being 56.7%. About 70.8% of the patients were in CKD Stages 3-5. Anemia was observed in 74.2% of the patients, whose prevalence increased alongside the increase in severity of CKD ( Conclusion: The performance of hematological biomarkers, mainly hemoglobin and NLR, emerges as reliable predictor of CKD progression and complications. Their assessment as part of the CKD workup may then enhance risk stratification and early intervention.

Indexed as

anemiachronic kidney disease (CKD)hematological biomarkershemoglobin

Identifiers

PMID41357357
PMCPMC12676047

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