Evidence map›Paper›PMID 41410106›Full record

ArticleJournal of clinical laboratory analysis2026

Predictive Role of Hematological Biomarkers in Chronic Kidney Disease Progression.

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

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2026. 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. Article
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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, Kisii, Kenya.ORCID https://orcid.org/0000-0001-6176-8935
Lucy W KaraniDepartment of Applied Health Science, School of Health Science, Kisii University, Kisii, Kenya.ORCID https://orcid.org/0000-0002-7302-0374
Stanslaus MusyokiDepartment of Medical Laboratory Science, School of Health Science, South Eastern Kenya University, Kitui, Kenya.
Phidelis MarutiDepartment of Medical Laboratory Science, School of Health Science, Kisii University, Kisii, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease is a progressive disorder of the body with high morbidity. Hematological biomarkers can predict CKD progression.

objectiveThis study examined the predictive role of hematological parameters among adult CKD patients.

methodsThe records of 120 adult patients with CKD were retrieved. CKD staging was according to KDIGO guidelines. Hematological parameters were hemoglobin, WBC, percentages of neutrophils and lymphocytes, NLR, platelet count, MCV, and RDW. Data were analyzed to assess associations between hematological markers and disease stage.

resultsMean age was 56.4 ± 13.2 years, with 56.7% being male. Prevalence was 65.0% for hypertension and 38.3% for diabetes mellitus. There was a significant decrease in hemoglobin with CKD stage (13.4 ± 1.1 g/dL in Stage 1 to 8.5 ± 1.7 g/dL in Stage 5, p < 0.001), while NLR and RDW increased progressively with CKD stage (NLR: 1.55 ± 0.48 to 4.12 ± 1.02; RDW: 13.1% ± 0.8% to 16.0% ± 1.6%, both p < 0.001). Anemia and raised NLR were more frequent in the advanced stages of CKD. Logistic regression analysis identified hemoglobin (OR = 0.69, 95% CI: 0.58-0.82, p < 0.001), RDW (OR = 1.78, 95% CI: 1.33-2.39, p = 0.002), and NLR (OR = 1.91, 95% CI: 1.35-2.72, p = 0.001) as independent predictors of advanced CKD. These simple and inexpensive biomarkers are particularly valuable in resource-limited settings.

conclusionHematological biomarkers, especially hemoglobin, NLR, and RDW, were effectively used to predict the progression of CKD.

Indexed as

BiomarkersRenal Insufficiency, ChronicAdultAgedAnemiaDisease ProgressionFemaleHemoglobinsHumansMaleMiddle AgedBiomarkersHemoglobinsanemiachronic kidney diseaseerythrocyte indiceshemoglobinsneutrophil‐to‐lymphocyte ratio

Identifiers

PMID41410106
PMCPMC12853397

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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.