Evidence map›Paper›PMID 41307215›Full record

ReviewCancer reports (Hoboken, N.J.)2025

The Evaluation of Diagnostic, Prognostic, and Predictive Role of Hematologic Inflammatory Indices NLR, PLR, and LMR in Common Solid Tumors.

Fatemeh Arianmanesh, Saeede Bagheri, Mohammad Ali Karimi, Saba Izadi, Mohammad Hossein Ahmadi

Abstract readReview
In one paragraph

Review in Cancer reports (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

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

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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

5 authors.

Fatemeh ArianmaneshDepartment of Hematology and Blood Banking, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0009-0007-9629-4443
Saeede BagheriStudent Research Committee, Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Ali KarimiDepartment of Laboratory Sciences, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0009-0006-4694-2775
Saba IzadiDepartment of Laboratory Sciences, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad Hossein AhmadiDepartment of Laboratory Sciences, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0002-3414-5019

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSolid tumors are one of the leading causes of cancer-related deaths. Measurable combined inflammatory markers in the blood, which indicate the inflammatory response, play a crucial role in managing patients with malignancies. These markers have been validated as less invasive, practical, and cost-effective tools in the clinical decision-making process. The aim of this study is to evaluate the predictive value of inflammatory markers based on complete blood count (CBC), including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in major solid tumors, including breast, lung, colorectal, and prostate cancers, due to their high prevalence and strong evidence base. RECENT

findingsIn this study, studies from 2015 to June 2025 were searched in Google Scholar, PubMed, and Scopus using keywords such as neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, prognosis value, predictive value, diagnosis value, lung cancer, colon cancer, prostate cancer, and breast cancer. Findings indicate that elevated NLR and PLR, alongside reduced LMR, are commonly associated with advanced disease, poorer survival, and diminished response to treatment, though the strength of evidence varies by cancer type. Limitations across studies include retrospective design, inconsistent cut-off values, and confounding factors such as comorbidities and treatment regimens.

conclusionCurrent evidence suggests that NLR, PLR, and LMR have significant potential as accessible biomarkers for risk stratification and treatment monitoring in common solid tumors. However, lack of standardization in methodology and cut-off definitions limits their widespread clinical implementation. High-quality prospective studies are needed to establish unified thresholds and clarify their role alongside established biomarkers.

Indexed as

Blood PlateletsInflammationLymphocytesMonocytesNeoplasmsNeutrophilsBiomarkers, TumorBlood Cell CountBreast NeoplasmsFemaleHumansLymphocyte CountMalePlatelet CountPredictive Value of TestsPrognosisBiomarkers, Tumorbreast cancercolon cancerlung cancermonocyte‐to‐lymphocyte rationeutrophil‐to‐lymphocyte ratioplatelet‐to‐lymphocyte ratioprostate cancer

Identifiers

PMID41307215
PMCPMC12658465

What Socratic holds

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LicenceCC BY
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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 Socratic graph.