Evidence map›Paper›PMID 39888959›Full record

ArticlePloS one2025

Neutrophil-to-lymphocyte ratio as a prognostic indicator in COVID-19: Evidence from a northern tanzanian cohort.

Norman Jonas Kyala, Innocent Mboya, Elichilia Shao, Francis Sakita, Kajiru Gadiel Kilonzo, Laura Shirima, Abid Sadiq, Elifuraha Mkwizu, Nyasatu Chamba, Annette Marandu and 6 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

16 authors.

Norman Jonas KyalaFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.ORCID 0000-0001-6392-8947
Innocent MboyaDepartment of Epidemiology and Biostatistics, Institute of Public Health, Kilimanjaro Christian Medical University College, Moshi, Tanzania.ORCID 0000-0001-9861-5879
Elichilia ShaoFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Francis SakitaFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Kajiru Gadiel KilonzoFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Laura ShirimaDepartment of Epidemiology and Biostatistics, Institute of Public Health, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Abid SadiqFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.ORCID 0000-0002-7812-8042
Elifuraha MkwizuFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Nyasatu ChambaFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Annette MaranduFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Sophia MuhaliFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Faryal RazaFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Eliasa NdaleFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Damas BayoFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Daniel MujuniFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.ORCID 0009-0007-7763-9346
Furaha LyamuyaFaculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 caused a profound global impact, resulting in significant cases and deaths. The progression of COVID-19 clinical manifestations is influenced by a dysregulated inflammatory response. Early identification of the subclinical progression is crucial for timely intervention and improved patient outcomes. While there are various biomarkers to predict disease severity and outcomes, their accessibility and affordability pose challenges in resource-limited settings. We explored the potentiality of the neutrophil-to-lymphocyte ratio (NLR) as a cost-effective inflammatory marker to predict disease severity, clinical deterioration, and mortality in affected patients. METHODOLOGY: A hospital-based retrospective cohort study was conducted at KCMC Hospital among COVID-19 patients followed from admission to discharge between 1st March 2020 and 31st March 2022. NLR was calculated as the absolute neutrophil count in μL divided by the absolute lymphocyte count in μL. The NLR cut-off value was determined using Receiver Operating Characteristic (ROC) analysis and assessed its predictive ability at admission for in-hospital mortality. The Chi-square test compared the proportion of NLR by patient characteristics. The association of NLR with disease severity and mortality was analyzed using the modified Poisson and Cox regression models, respectively.

resultsThe study included 504 patients, with a median age of 64 years, 57.1% were males, and 68.3% had severe COVID-19. The in-hospital COVID-19 mortality rate was 37.7%. An NLR cutoff value of 6.1 or higher had a sensitivity of 92.1% (95% CI 89.2%-94.0%) and a specificity of 92.0% (95% CI 89.7%-94.4%). Additionally, 39.5% of patients with an NLR value of 6.1 or higher had increased risk of severe disease, subsequent clinical deterioration, and mortality. CONCLUSION AND RECOMMENDATION: An NLR value of 6.1 or higher at the time of hospital admission associated with severe disease, clinical deterioration, and mortality in patients with COVID-19. Integration of NLR as a prognostic parameter in COVID-19 prognosis scales could improve risk assessment and guide appropriate management strategies for COVID-19 patients, as well as for potential future viral-related pneumonias. Further prospective studies are necessary to validate these findings and evaluate the clinical utility of NLR in larger cohorts of patients.

Indexed as

COVID-19LymphocytesNeutrophilsAdultAgedBiomarkersFemaleHospital MortalityHumansLeukocyte CountLymphocyte CountMaleMiddle AgedPrognosisRetrospective StudiesROC CurveBiomarkers

Identifiers

PMID39888959
PMCPMC11785306

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.