Evidence map›Paper›PMID 40486644›Full record

ReviewAnnals of medicine and surgery (2012)2025

The diagnostic significance of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in malaria: insights and implications - a narrative review.

Emmanuel Ifeanyi Obeagu

Abstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

1 author.

Emmanuel Ifeanyi ObeaguDepartment of Biomedical and Laboratory Science, Africa University, Mutare, Zimbabwe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malaria remains a significant global health challenge, necessitating accurate diagnostic tools for timely intervention and effective management. This review explores the diagnostic significance of two hematological biomarkers, the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), in the context of malaria. These ratios, derived from routine complete blood count parameters, offer insights into systemic inflammation and immune response dynamics, contributing valuable information for assessing disease severity and predicting clinical outcomes. The NLR and PLR have emerged as promising indicators of malaria severity, reflecting the host's immune response and inflammatory state during infection. Elevated NLR levels are associated with severe malaria manifestations, including cerebral involvement and organ dysfunction, indicative of dysregulated immune activation characterized by heightened neutrophil activity and lymphocyte depletion. Conversely, alterations in PLR suggest platelet consumption and immune-mediated thrombocytopenia, which correlate with disease progression and complications. Integrating NLR and PLR into malaria diagnostic algorithms holds potential benefits for clinical practice, particularly in resource-limited settings where access to sophisticated diagnostic tools may be constrained. Rapid calculation from standard complete blood count results facilitates timely risk assessment and treatment decision-making, complementing existing diagnostic methods like rapid diagnostic tests and microscopy. Furthermore, longitudinal monitoring of NLR and PLR dynamics during treatment provides valuable insights into therapeutic response and disease resolution, aiding in patient management strategies aimed at optimizing outcomes and reducing mortality rates associated with severe malaria.

Indexed as

diagnostic biomarkersimmune responsemalarianeutrophil-to-lymphocyte ratioplatelet-to-lymphocyte ratio

Identifiers

PMID40486644
PMCPMC12140672

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.