Evidence map›Paper›PMID 41403153›Full record

ArticleHead & neck2026

Neutrophil to Lymphocyte and Lymphocyte to Monocyte Ratios Predict Improved Survival and Response to Induction Chemotherapy in Locally Advanced Squamous Cell Carcinoma of the Larynx.

Zachary Risch, Emily Bellile, Moneb S Bughrara, Paul L Swiecicki, Keith Casper, Kelly Malloy, Norman Hogikyan, Matthew Spector, Andrew Shuman, Chaz Stucken and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Head & neck, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

20 authors.

Zachary RischDepartment of Internal Medicine, Division of Hematology/Oncology, Ohio State University, Columbus, Ohio, USA.
Emily BellileCancer Data Science, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Moneb S BughraraDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-1100-6518
Paul L SwiecickiDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, Michigan, USA.
Keith CasperDepartment of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Kelly MalloyDepartment of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Norman HogikyanDepartment of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Matthew SpectorDepartment of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Andrew ShumanDepartment of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Chaz StuckenDepartment of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Steven ChinnDepartment of Otolaryngology-Head and Neck Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Douglas C ChepehaDepartment of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Shruti JollyDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
Michelle MierzwaDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
Carol BradfordDepartment of Otolaryngology-Head and Neck Surgery, Ohio State University, Columbus, Ohio, USA.
Avraham EisbruchDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
Thomas CareyDepartment of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Mark PrinceDepartment of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Gregory T WolfDepartment of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Francis P WordenDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, Michigan, USA.

Funding

National Cancer Institute of the National Institutes of Health under the University of Michigan Comprehensive Cancer Center Core Grant P30CA046592
6 · The paper itself

Abstract

backgroundUniversity of Michigan Cancer Center (UMCC) protocol 9520 treated stage III/IV locally advanced squamous cell carcinoma of the larynx (LASCCL) with cisplatin and 5-fluorouracil to select for definitive therapy based on response. Studies have shown that neutrophil-lymphocyte ratio (NLR) and lymphocyte-monocyte ratio (LMR) are potential prognostic markers in p16-negative LASCCL. This study analyzes the predictive value of NLR and LMR.

methodsSamples from 193 LASCCL patients treated with chemotherapy were reviewed. Response to induction chemotherapy was tested with logistic regression. Optimal cut-points were determined by Youden's index. Survival was tested with Cox proportional hazards models.

resultsLMR had a positive association, NLR had a negative association with response to chemotherapy (p = 0.004;0.07). Response was higher in patients with LMR ≥ 2.8 (p = 0.0007) and NLR ≤ 2.8 (p = 0.04). Overall and disease-specific survival improved with LMR ≥ 2.8 (p = 0.0002;0.004) and NLR ≤ 2.8 (p = 0.10;0.03).

conclusionsLow NLR and high LMR were associated with favorable responses to chemotherapy and survival in LASCCL.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, Squamous CellLaryngeal NeoplasmsLymphocytesMonocytesNeutrophilsAdultAgedCisplatinFemaleFluorouracilHumansInduction ChemotherapyLeukocyte CountLymphocyte CountMaleCisplatinFluorouracilinduction chemotherapylymphocyte/monocyteneutrophil/lymphocyte ratio

Identifiers

PMID41403153
PMCPMC13055421

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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.