Evidence map›Paper›PMID 26292807›Full record

ArticleBMC cancer2015

Neutrophil count is associated with survival in localized prostate cancer.

Houda Bahig, Daniel Taussky, Guila Delouya, Amal Nadiri, Ariane Gagnon-Jacques, Paule Bodson-Clermont, Denis Soulieres

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 5 pooled it
2.4field-weighted citation impact, top 9% 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

42 citing papers in PubMed, 5 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 2 institutions in 1 country.

Houda BahigDepartment of Radiation Oncology, Centre Hospitalier de l'Université de Montréal (CHUM), Hôpital Notre-Dame, Montreal, Canada. houda.bahig@umontreal.ca.
Daniel TausskyDepartment of Radiation Oncology, Centre Hospitalier de l'Université de Montréal (CHUM), Hôpital Notre-Dame, Montreal, Canada. daniel.taussky.chum@ssss.gouv.qc.ca.
Guila DelouyaDepartment of Radiation Oncology, Centre Hospitalier de l'Université de Montréal (CHUM), Hôpital Notre-Dame, Montreal, Canada. guila.delouya.chum@ssss.gouv.qc.ca.
Amal NadiriDepartment of Radiation Oncology, Centre Hospitalier de l'Université de Montréal (CHUM), Hôpital Notre-Dame, Montreal, Canada. amalnadiri@gmail.com.
Ariane Gagnon-JacquesDepartment of Radiation Oncology, Centre Hospitalier de l'Université de Montréal (CHUM), Hôpital Notre-Dame, Montreal, Canada. arianegagnonjacques@msn.com.
Paule Bodson-ClermontCRCHUM-Centre de recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada. bodson.paule@gmail.com.
Denis SoulieresMedical Oncology, Centre Hospitalier de l'Université de Montréal (CHUM), Hôpital Notre-Dame, Montreal, Canada. Denis.Soulieres.chum@ssss.gouv.qc.ca.
Hôpital Notre-Dame · CACentre Hospitalier de l’Université de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing evidence suggests a close relationship between systemic inflammation and cancer development and progression. The neutrophil to lymphocyte ratio (NLR) has been shown to be an independent prognostic indicator in various advanced and localized cancers. We investigated the influence of markers of systemic inflammation such as leucocyte counts and metabolic co-morbidities on overall survival (OS) after radiotherapy for localized prostate cancer.

methodsWe conducted a retrospective study of patients with localized prostate cancer treated with definitive external beam radiotherapy or brachytherapy. Univariate and multivariate cox proportional hazards models were used to investigate the influence of the following factors on OS: age, neutrophil and lymphocyte counts, neutrophil-to-lymphocyte ratio (NLR), Cancer of the Prostate Risk Assessment (CAPRA) score as well as comorbidities associated with inflammation such as cardiac history, diabetes and use of a statin. A stepwise selection of variable based on the Akaike information criterion (AIC) was used for multivariate analysis.

resultsIn total, 1772 pts were included; blood count data was available for 950 pts. Median age was 68 years (44-87). Actuarial 5 years OS and biochemical recurrence-free survival (BRFS) for the 1772 patients were 93% and 95%, respectively, with a median follow-up of 44 months (1-156). On univariate analysis, neutrophil count (p = 0.04), cardiac history (p = 0.008), age (p = 0.001) and CAPRA (p = 0.0002) were associated with OS. Lymphocytes, NLR and comorbidities other than cardiac history were not associated with mortality. On multivariate analysis, neutrophil count (HR = 1.18, 95 % CI: 1.017-1.37, p = 0.028), age (HR = 1.06, 95 % CI: 1.01-1.1, p = 0.008) and CAPRA (HR = 1.16, 95 % CI: 1.03-1.31, p = 0.015) were independent predictors of OS.

conclusionNeutrophil count, as a possible marker of systemic inflammation, appear to be an independent prognostic factor for overall mortality in localized prostate cancer. A validation cohort is needed to corroborate these results.

Indexed as

AgedAged, 80 and overBrachytherapyHumansLeukocyte CountMaleMiddle AgedNeutrophilsPrognosisProstatic NeoplasmsRetrospective StudiesSurvival AnalysisTreatment Outcome

Identifiers

PMID26292807
PMCPMC4546219
OpenAlexW2107923626

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.