Evidence map›Paper›PMID 29669528›Full record

SynthesisBMC cancer2018

Prognostic value of systemic inflammatory markers in ovarian Cancer: a PRISMA-compliant meta-analysis and systematic review.

Ying Zhu, Sanqin Zhou, Yang Liu, Lingyun Zhai, Xiwen Sun

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 4 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

60 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  11. Prognostic value of systemic inflammation-modified Patient-Generated Subjective Global Assessment in advanced cancers: A large-scale retrospective cohort study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  19. 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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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.

Ying ZhuDepartment of Gynecology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Sanqin ZhouDepartment of Gynecology, Changxing people's hospital, Huzhou, 313100, China.
Yang LiuDepartment of Gynecology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Lingyun ZhaiDepartment of Gynecology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Xiwen SunDepartment of Gynecology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China. b1103@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognostic effect of elevated systemic inflammatory markers, including neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR), remains controversial in cancer patients. This meta-analysis was conducted to evaluate the predictive values of these markers for prognoses in ovarian cancer patients.

methodsPotentially relevant publications in PubMed, ISI Web of Science, and EBSCO were searched. Pooled hazard ratios (HRs) and corresponding 95% confidence intervals (95% CIs) for overall survival (OS) and progression-free survival (PFS) were determined using a fixed or random effects model.

resultsTen studies involving 2919 patients were included in this meta-analysis. In multivariate analysis, the group with higher NLR had worse OS (HR = 1.34, 95% CI = 1.16-1.54) and shorter PFS (HR = 1.36, 95% CI = 1.17-1.57) than the control group. Furthermore, PLR values higher than the cut-off were associated with not only poorer OS (HR = 1.97, 95% CI = 1.61-2.40) but also more unfavorable PFS (HR = 1.79, 95% CI = 1.46-2.20). Univariate analysis also indicated the same results. Additionally, subgroup analysis showed that when the cut-off values for NLR and PLR were higher, their predictive effects became stronger.

conclusionThis comprehensive meta-analysis suggested that the values of inflammatory markers such as NLR and PLR were associated with ovarian cancer survival. Therefore, inflammatory markers can potentially serve as prognostic biomarkers.

Indexed as

BiomarkersFemaleHumansInflammation MediatorsLeukocyte CountLymphocyte CountLymphocytesNeutrophilsOvarian NeoplasmsPlatelet CountPrognosisProportional Hazards ModelsPublication BiasBiomarkersInflammation MediatorsInflammatory markersNeutrophil-lymphocyte ratioOvarian cancerPlatelet-lymphocyte ratioPrognosis

Identifiers

PMID29669528
PMCPMC5907305

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.