Evidence map›Paper›PMID 31873162›Full record

ArticleScientific reports2019

Exploring the prognostic value of the neutrophil-to-lymphocyte ratio in cancer.

Rachel Howard, Peter A Kanetsky, Kathleen M Egan

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 188 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
188citing papers in PubMed, 7 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

188 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in retinal artery occlusion: a meta-analysis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Pooled it
  3. Pooled it
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  7. Prognostic Significance of Neutrophil-Lymphocyte Ratio in Salivary Gland Neoplasms: A Systematic Review.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale
    Pooled it
  8. Trial
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  11. Neutrophils in cancer.Nature reviews. Cancer · 2026
    Review
  12. Cancer risk and mortality assessment in the overweight population: evaluation of single and integrated models based on inflammatory markers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Search for prognostic markers of mortality in inpatients receiving palliative chemotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Observational
  17. Article
  18. Article
  19. Pretreatment neutrophil-to-lymphocyte ratio (NLR) as a potential risk marker for febrile neutropenia (FN) in breast and ovarian cancer during first-cycle chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  20. Article

128 more citing papers are in PubMed but not listed here.

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

3 authors.

Rachel HowardDepartment of Cancer Epidemiology H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. rachel.howard@moffitt.org.
Peter A KanetskyDepartment of Cancer Epidemiology H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID http://orcid.org/0000-0002-5567-9618
Kathleen M EganDepartment of Cancer Epidemiology H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
Moffitt Postdoctoral Training Program in Molecular EpidemiologyT32CA147832 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI KANETSKY, PETER A · 2015 to 2019
$659k
NCI NIH HHS P30 CA076292NCI NIH HHS T32 CA147832
6 · The paper itself

Abstract

In cancer patients, a high pre-treatment neutrophil-to-lymphocyte ratio (NLR) is associated with poorer survival outcomes. Significant variation in the magnitude of this association has been observed between studies, but sources of this variation are poorly understood. Here, we explore differences in the prognostic potential of NLR between patient subgroups stratified by demographic and clinical characteristics using a retrospective cohort of 5,363 patients treated at Moffitt Cancer Center (Tampa, FL). We identify patients for whom NLR has maximum prognostic potential via adjusted hazard ratios (HRs) calculated using multivariable Cox proportional hazards models and area under the curve analysis. NLR demonstrates stronger associations (HRs > 2) with survival among African-American patients, patients receiving radiation therapy, stage IV patients, and melanoma patients when compared with the overall study population (HR = 1.58). Sensitivity and specificity of NLR as a prognostic marker are also higher in these patient subgroups, and increase further with combinations of multiple "high-risk" demographic or clinical characteristics. In summary, NLR may have greater prognostic value in patients with certain demographic and clinical features. Future prospective studies could validate this hypothesis, after further characterization of populations in which NLR has maximum prognostic potential and the identification of meaningful thresholds for risk stratification.

Indexed as

LymphocytesNeutrophilsAdultAgedCohort StudiesFemaleHumansInflammationKaplan-Meier EstimateLeukocyte CountLymphocyte CountMaleMiddle AgedNeoplasmsPrognosisProportional Hazards Models

Identifiers

PMID31873162
PMCPMC6928022

What OpenQuestion holds

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Registered trials

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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.