Evidence map›Paper›PMID 40496607›Full record

ArticleFrontiers in oncology2025

Complete blood count parameters as potential predictive factors of brain metastases in lung cancer.

Karol Marschollek, Monika Kosacka, Anna Pokryszko-Dragan, Anna Brzecka-Bonnaud

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Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
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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

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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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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.

Karol MarschollekDepartment of Neurology, Wroclaw Medical University, Wrocław, Poland.
Monika KosackaDepartment of Pulmonology and Lung Oncology, Wroclaw Medical University, Wrocław, Poland.
Anna Pokryszko-DraganDepartment of Neurology, Wroclaw Medical University, Wrocław, Poland.
Anna Brzecka-BonnaudDepartment of Pulmonology and Lung Oncology, Wroclaw Medical University, Wrocław, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Brain metastases are common and devastating complication of the lung cancer (LC) but predictive biomarkers for their risk are still lacking. Objectives: To analyze the relationships between complete blood count (CBC)-based and selected biochemical indices and occurrence of brain metastases in patients diagnosed with LC. Patients and methods: The study was based on retrospective analysis of medical records of 217 patients diagnosed with LC and undergoing follow-up in one specialist center. Clinical and laboratory data on admission were determined, including: neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), neutrophil-to-platelet ratio (NPR) and red cell distribution width-to-platelet ratio (RPR) and selected biochemical parameters. Relationships were evaluated between these parameters and occurrence of brain metastases, other distant metastases and death within 12 months of follow-up. Results: 168 patients had the follow-up data for 6 months, and 128 - for 12 months. Brain metastases were detected in 41 patients and 1-year mortality rate was 17.61%. Patients who developed brain metastases during 12 months had significantly higher baseline NLR (4.66 vs 2.75, p<0.001), PLR (170.83 vs 142.42, p=0.03) and lower LMR (1.61 vs 2.33, p=0.008).In univariate analysis, higher leukocyte count (HR 1.08, p=0.016), neutrophil count (HR 1.11, p=0.0036), NLR (HR 1.09, p=0.005), d-dimer levels (HR 1.0002, p=0.0043), and lower LMR (HR 0.67, p=0.018) were significantly associated with the risk of developing brain metastases. Liver metastases were associated with lower LMR (1.69 vs 2.29, p=0.04), while metastases to the other lung - with lower PLR (126.52 vs 161.8, p=0.02) and higher LMR (2.51 vs 1.96, p=0.02) and RPR (0.184 vs 0.154, p=0.03). No significant relationships were found between CBC-based indices and mortality. Conclusions: CBC-based indices could be useful and easily accessible predictive markers of brain metastases in the patients with lung cancer.

Indexed as

brain metastasescomplete blood countlung cancerNLRNSCLC

Identifiers

PMID40496607
PMCPMC12149417

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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.