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Record W4407957605 · doi:10.5492/wjccm.v14.i2.99445

Association between neutrophil-to-lymphocyte ratio and hematoma expansion in spontaneous intracerebral hemorrhage: A systematic review and meta-analysis

2025· review· en· W4407957605 on OpenAlexaboutno aff
Andrea Loggini, Jonatan Hornik, Jessie Henson, Julie Wesler, Alejandro Hornik

Bibliographic record

VenueWorld Journal of Critical Care Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisOdds ratioInternal medicineIntracerebral hemorrhageNeutrophil to lymphocyte ratioPublication biasRandom effects modelConfidence intervalSample size determinationLymphocyteSubarachnoid hemorrhageStatistics

Abstract

fetched live from OpenAlex

BACKGROUND Hematoma expansion (HE) typically portends a poor prognosis in spontaneous intracerebral hemorrhage (ICH). Several radiographic and laboratory values have been proposed as predictive markers of HE. AIM To perform a systematic review and meta-analysis on the association of neutrophil-to-lymphocyte ratio (NLR) and HE in ICH. A secondary outcome examined was the association of NLR and perihematomal (PHE) growth. METHODS Three databases were searched (PubMed, EMBASE, and Cochrane) for studies evaluating the effect of NLR on HE and PHE growth. The inverse variance method was applied to estimate an overall effect for each specific outcome by combining weighted averages of the individual studies’ estimates of the logarithm odds ratio (OR). Given heterogeneity of the studies, a random effect was applied. Risk of bias was analyzed using the Newcastle-Ottawa Scale. The study was conducted following the Preferred Reporting Items for Systematic Review and Meta-analysis guidelines. The protocol was registered in PROSPERO (No. CRD42024549924). RESULTS Eleven retrospective cohort studies involving 2953 patients were included in the meta-analysis. Among those, HE was investigated in eight studies, whereas PHE growth was evaluated in three. Blood sample was obtained on admission in ten studies, and at 24 hours in one study. There was no consensus on cut-off value among the studies. NLR was found to be significantly associated with higher odds of HE (OR = 1.09, 95%CI: 1.04-1.15, I 2 = 86%, P < 0.01), and PHE growth (OR = 1.28, 95%CI: 1.19-1.38, I 2 = 0%, P < 0.01). Qualitative analysis of each outcome revealed overall moderate risk of bias mainly due to lack of control for systemic confounders. CONCLUSION The available literature suggests that a possible association may exist between NLR on admission and HE, and PHE growth. Future studies controlled for systemic confounders should be designed to consolidate this finding. If confirmed, NLR could be added as a readily available and inexpensive biomarker to identify a subgroup of patients at higher risk of developing HE.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.027
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0190.036
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.384
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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