Evidence map›Paper›PMID 26079303›Full record

ArticleBritish journal of cancer2015

Preoperative neutrophil:lymphocyte and platelet:lymphocyte ratios predict endometrial cancer survival.

M Cummings, L Merone, C Keeble, L Burland, M Grzelinski, K Sutton, N Begum, A Thacoor, B Green, J Sarveswaran and 2 more

Abstract read
In one paragraph

Article in British journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 5 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

71 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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11 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

12 authors.

M CummingsWomen's Health Research Group, Leeds Institute of Cancer and Pathology, Wellcome Trust Brenner Building, St James's University Hospital, Beckett Street, Leeds LS9 7TF, UK.
L MeroneWomen's Health Research Group, Leeds Institute of Cancer and Pathology, Wellcome Trust Brenner Building, St James's University Hospital, Beckett Street, Leeds LS9 7TF, UK.
C KeebleLeeds Institute of Cardiovascular and Metabolic Medicine, Division of Epidemiology and Biostatistics, University of Leeds, Leeds LS2 9JT, UK.
L BurlandWomen's Health Research Group, Leeds Institute of Cancer and Pathology, Wellcome Trust Brenner Building, St James's University Hospital, Beckett Street, Leeds LS9 7TF, UK.
M GrzelinskiWomen's Health Research Group, Leeds Institute of Cancer and Pathology, Wellcome Trust Brenner Building, St James's University Hospital, Beckett Street, Leeds LS9 7TF, UK.
K SuttonWomen's Health Research Group, Leeds Institute of Cancer and Pathology, Wellcome Trust Brenner Building, St James's University Hospital, Beckett Street, Leeds LS9 7TF, UK.
N BegumWomen's Health Research Group, Leeds Institute of Cancer and Pathology, Wellcome Trust Brenner Building, St James's University Hospital, Beckett Street, Leeds LS9 7TF, UK.
A ThacoorWomen's Health Research Group, Leeds Institute of Cancer and Pathology, Wellcome Trust Brenner Building, St James's University Hospital, Beckett Street, Leeds LS9 7TF, UK.
B GreenWomen's Health Research Group, Leeds Institute of Cancer and Pathology, Wellcome Trust Brenner Building, St James's University Hospital, Beckett Street, Leeds LS9 7TF, UK.
J SarveswaranWomen's Health Research Group, Leeds Institute of Cancer and Pathology, Wellcome Trust Brenner Building, St James's University Hospital, Beckett Street, Leeds LS9 7TF, UK.
R HutsonWomen's Health Research Group, Leeds Institute of Cancer and Pathology, Wellcome Trust Brenner Building, St James's University Hospital, Beckett Street, Leeds LS9 7TF, UK.
N M OrsiWomen's Health Research Group, Leeds Institute of Cancer and Pathology, Wellcome Trust Brenner Building, St James's University Hospital, Beckett Street, Leeds LS9 7TF, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVariations in systemic inflammatory response biomarker levels have been associated with adverse clinical outcome in various malignancies. This study determined the prognostic significance of preoperative neutrophil:lymphocyte (NLR), platelet:lymphocyte (PLR) and monocyte:lymphocyte (MLR) ratios in endometrial cancer.

methodsClinicopathological and 5-year follow-up data were obtained for a retrospective series of surgically treated endometrial cancer patients (n=605). Prognostic significance was determined for overall (OS) and cancer-specific survival (CSS) using Cox proportional hazards models and Kaplan-Meier analysis. Receiver-operator characteristic and log-rank functions were used to optimise cut-offs. NLR, PLR and MLR associations with clinicopathological variables were determined using non-parametric tests.

resultsApplying cut-offs of ⩾2.4 (NLR), ⩾240 (PLR) and ⩾0.19 (MLR), NLR and PLR (but not MLR) had independent prognostic significance. Combining NLR and PLR scores stratified patients into low (NLR-low and PLR-low), intermediate (NLR-high or PLR-high) and high risk (NLR-high and PLR-high) groups: multivariable hazard ratio (HR) 2.51; P<0.001 (OS); HR 2.26; P<0.01 (CSS) for high vs low risk patients. Increased NLR and PLR were most strongly associated with advanced stage (P<0.001), whereas increased MLR was strongly associated with older age (P<0.001).

conclusionBoth NLR and PLR are independent prognostic indicators for endometrial cancer, which can be combined to provide additional patient stratification.

Indexed as

Blood PlateletsLymphocytesNeutrophilsAdultAgedAged, 80 and overAge FactorsEndometrial NeoplasmsFemaleHumansMiddle AgedMultivariate AnalysisNeoplasm StagingPrognosisRetrospective Studies

Identifiers

PMID26079303
PMCPMC4506386

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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.