Evidence map›Paper›PMID 34242232›Full record

ArticlePloS one2021

Racial differences in the systemic inflammatory response to prostate cancer.

Andrew G Rundle, Sudha M Sadasivan, Dhananjay A Chitale, Nilesh S Gupta, Sean R Williamson, Oleksandr N Kryvenko, Yalei Chen, Kevin Bobbitt, Deliang Tang, Benjamin A Rybicki

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Differential effects of neighborhood ambient PMInternational journal of health geographics · 2026
    Article
  2. Article
  3. Review
  4. Observational
  5. Review
  6. Article
  7. Tumor-promoting inflammation in lung cancer: A literature review.Annals of medicine and surgery (2012) · 2022
    Review
  8. 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

10 authors at 3 institutions in 1 country.

Andrew G RundleDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America.ORCID 0000-0003-0211-7707
Sudha M SadasivanDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, MI, United States of America.
Dhananjay A ChitaleDepartment of Pathology and Laboratory Medicine, Henry Ford Hospital, Detroit, MI, United States of America.
Nilesh S GuptaDepartment of Pathology and Laboratory Medicine, Henry Ford Hospital, Detroit, MI, United States of America.
Sean R WilliamsonDepartment of Pathology and Laboratory Medicine, Henry Ford Hospital, Detroit, MI, United States of America.
Oleksandr N KryvenkoDepartment of Pathology and Laboratory Medicine, Department of Urology, and Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States of America.
Yalei ChenDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, MI, United States of America.
Kevin BobbittDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, MI, United States of America.
Deliang TangDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia Univ., New York, NY, United States of America.
Benjamin A RybickiDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, MI, United States of America.ORCID 0000-0003-3190-3467
Henry Ford Hospital · USColumbia University · USUniversity of Miami · US

Funding

GENE-ENVIRONMENT INTERACTION IN PROSTATE CANCERR01ES011126 · NIEHS · HENRY FORD HEALTH SYSTEM · PI RYBICKI, BENJAMIN A. · 2000 to 2017
$8.0M
NIEHS NIH HHS R01 ES011126
6 · The paper itself

Abstract

Systemic inflammation may increase risk for prostate cancer progression, but the role it plays in prostate cancer susceptibility is unknown. From a cohort of over 10,000 men who had either a prostate biopsy or transurethral resection that yielded a benign finding, we analyzed 517 incident prostate cancer cases identified during follow-up and 373 controls with one or more white blood cell tests during a follow-up period between one and 18 years. Multilevel, multivariable longitudinal models were fit to two measures of systemic inflammation, neutrophil-to-lymphocyte ratio (NLR) and monocyte-to-lymphocyte ratio (MLR), to determine NLR and MLR trajectories associated with increased risk for prostate cancer. For both measures, we found no significant differences in the trajectories by case/control status, however in modeling NLR trajectories there was a significant interaction between race (white or Black and case-control status. In race specific models, NLR and MLR values were consistently higher over time among white controls than white cases while case-control differences in NLR and MLR trajectories were not apparent among Black men. When cases were classified as aggressive as compared to non-aggressive, the case-control differences in NLR and MLR values over time among white men were most apparent for non-aggressive cases. For NLR among white men, significant case-control differences were observed for the entire duration of observation for men who had inflammation in their initial prostate specimen. It is possible that, among white men, monitoring of NLR and MLR trajectories after an initial negative biopsy may be useful in monitoring prostate cancer risk.

Indexed as

AgedCase-Control StudiesFollow-Up StudiesHumansInflammationLeukocyte CountLymphocytesMaleMiddle AgedMonocytesNeutrophilsProstatic NeoplasmsRace FactorsRetrospective StudiesSystemic Inflammatory Response Syndrome

Identifiers

PMID34242232
PMCPMC8270440
OpenAlexW3180504742

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.