Evidence map›Paper›PMID 27888711›Full record

ArticleTranslational oncology2017

Preoperative Monocyte-to-Lymphocyte Ratio in Peripheral Blood Predicts Stages, Metastasis, and Histological Grades in Patients with Ovarian Cancer.

Jiangdong Xiang, Lina Zhou, Xing Li, Wei Bao, Taizhong Chen, Xiaowei Xi, Yinyan He, Xiaoping Wan

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 5 pooled it
5.0field-weighted citation impact, top 3% 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

67 citing papers in PubMed, 5 syntheses or guidelines pooled it, 126 citations in OpenAlex.

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  5. The diagnostic efficacy of platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio in ovarian cancer.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2017
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7 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

8 authors at 3 institutions in 1 country.

Jiangdong XiangDepartment of Obstetrics and Gynaecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China.
Lina ZhouDepartment of Obstetrics and Gynaecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China.
Xing LiDepartment of Obstetrics and Gynaecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China.
Wei BaoDepartment of Obstetrics and Gynaecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China.
Taizhong ChenF1370016, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
Xiaowei XiDepartment of Obstetrics and Gynaecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China. Electronic address: xixiaowei1966@126.com.
Yinyan HeDepartment of Obstetrics and Gynaecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China. Electronic address: heyinyan0228@126.com.
Xiaoping WanShanghai First Maternity and Infant Hospital Corporation, Tongji University, Shanghai, 200126, China.
Shanghai First People's Hospital · CNShanghai First Maternity and Infant Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe monocyte-to-lymphocyte ratio (MLR) has been shown to be associated with the prognosis of various solid tumors. This study sought to evaluate the important value of the MLR in ovarian cancer patients.

methodsA total of 133 ovarian cancer patients and 43 normal controls were retrospectively reviewed. The patients' demographics were analyzed along with clinical and pathologic data. The counts of peripheral neutrophils, lymphocytes, monocytes, and platelets were collected and used to calculate the MLR, neutrophil-to-lymphocyte ratio (NLR). and platelet-to-lymphocyte ratio (PLR). The optimal cutoff value of the MLR was determined by using receiver operating characteristic curve analysis. We compared the MLR, NLR, and PLR between ovarian cancer and normal control patients and among patients with different stages and different grades, as well as between patients with lymph node metastasis and non-lymph node metastasis. We then investigated the value of the MLR in predicting the stage, grade, and lymph node positivity by using logistic regression. The impact of the MLR on overall survival (OS) was calculated by Kaplan-Meier method and compared by log-rank test.

resultsStatistically significant differences in the MLR were observed between ovarian cancer patients and normal controls. However, no difference was found for the NLR and PLR. Highly significant differences in the MLR were found among patients with different stages (stage I-II and stage III-IV), grades (G1 and >G1), and lymph node metastasis status. The MLR was a significant and independent risk factor for lymph node metastasis, as determined by logistic regression. The optimal cutoff value of the MLR was 0.23. We also classified the data according to tumor markers (CA125, CA199, HE4, AFP, and CEA) and conventional coagulation parameters (International Normalized Ratio [INR] and fibrinogen). Highly significant differences in CA125, CA199, HE4, INR, fibrinogen levels, and lactate dehydrogenase were found between the low-MLR group (MLR ≤ 0.23) and the high-MLR group (MLR > 0.23). Correspondingly, dramatic differences were observed between the two groups in OS.

conclusionOur results show that the peripheral blood MLR before surgery could be a significant predictor of advanced stages, advanced pathologic grades, and positive lymphatic metastasis in ovarian cancer patients.

Identifiers

PMID27888711
PMCPMC5124360
OpenAlexW2556817416

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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.