Evidence map›Paper›PMID 28223716›Full record

ArticleScientific reports2017

Preoperative red cell distribution width and neutrophil-to-lymphocyte ratio predict survival in patients with epithelial ovarian cancer.

Zheng Li, Na Hong, Melissa Robertson, Chen Wang, Guoqian Jiang

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 6 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

63 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  15. Prognostic value of systemic inflammation response indexes obtained from the complete blood count in patients treated for advanced ovarian carcinoma in front line.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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3 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

5 authors.

Zheng LiDepartment of Gynecologic Oncology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Tumor Hospital), 519 Kunzhou Road, Kunming 650118, China.
Na HongDepartment of Health Sciences Research, Mayo Clinic, Rochester 55905, USA.
Melissa RobertsonDepartment of Health Sciences Research, Mayo Clinic, Rochester 55905, USA.
Chen WangDepartment of Health Sciences Research, Mayo Clinic, Rochester 55905, USA.
Guoqian JiangDepartment of Health Sciences Research, Mayo Clinic, Rochester 55905, USA.

Funding

Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI Zhenkun Lou · 2009 to 2026
$37.0M
caCDE-QA: A Quality Assurance Platform for Cancer Study Common Data ElementsU01CA180940 · NCI · MAYO CLINIC ROCHESTER · PI JIANG, GUOQIAN · 2014 to 2016
$1.1M
NCI NIH HHS P50 CA136393NCI NIH HHS U01 CA180940
6 · The paper itself

Abstract

Several parameters of preoperative complete blood count (CBC) and inflammation-associated blood cell markers derived from them have been reported to correlate with prognosis in patients with epithelial ovarian cancer (EOC), but their prognostic importance and optimal cutoffs are still needed be elucidated. Clinic/pathological parameters, 5-year follow-up data and preoperative CBC parameters were obtained retrospectively in 654 EOC patients underwent primary surgery at Mayo Clinic. Cutoffs for neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR) were optimized by receiver operating characteristic (ROC) curve. Prognostic significance for overall survival (OS) and recurrence free survival (RFS) were determined by Cox proportional hazards models and Kaplan-Meier method. Associations of RDW and NLR with clinic/pathological parameters were analyzed using non-parametric tests. RDW with cutoff 14.5 and NLR with cutoff 5.25 had independent prognostic significance for OS, while combined RDW and NLR scores stratified patients into low (RDW-low and NLR-low), intermediate (RDW-high or NLR-high) and high risk (RDW-high and NLR-high) groups, especially in patients with high-grade serous ovarian cancer (HGSOC). Moreover, high NLR was associated with poor RFS as well. Elevated RDW was strongly associated with age, whereas high NLR was strongly associated with stage, preoperative CA125 level and ascites at surgery.

Indexed as

AdultAgedAged, 80 and overArea Under CurveBlood Cell CountCarcinoma, Ovarian EpithelialDisease-Free SurvivalErythrocyte IndicesFemaleHumansKaplan-Meier EstimateLymphocytesMiddle AgedNeoplasms, Glandular and EpithelialNeutrophilsOvarian Neoplasms

Identifiers

PMID28223716
PMCPMC5320446

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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.