Evidence map›Paper›PMID 36759864›Full record

ReviewJournal of ovarian research2023

Independent predictive value of blood inflammatory composite markers in ovarian cancer: recent clinical evidence and perspective focusing on NLR and PLR.

Chuan-Long Zhang, Xiao-Chen Jiang, Yi Li, Xue Pan, Meng-Qi Gao, Yan Chen, Bo Pang

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of ovarian research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 4 pooled it
13.8field-weighted citation impact, top 1% 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

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

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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

7 authors at 1 institution in 1 country.

Chuan-Long Zhang *Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.ORCID http://orcid.org/0000-0002-8485-5537
Xiao-Chen Jiang *Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.ORCID http://orcid.org/0000-0002-5711-7803
Yi Li *Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.ORCID http://orcid.org/0000-0001-5348-422X
Xue PanGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.ORCID http://orcid.org/0000-0003-0299-7556
Meng-Qi GaoWangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, China.ORCID http://orcid.org/0000-0002-1428-891X
Yan ChenInternational Medical Department of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China. chenyancacms@163.com.ORCID http://orcid.org/0000-0003-1071-2725
Bo PangInternational Medical Department of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China. drpangbo@gmail.com.ORCID http://orcid.org/0000-0001-9664-3972
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Natural Science Foundation of Beijing Municipality 7222296Scientific and Technological Innovation Project of China Academy of Chinese Medical Sciences CI2021A01805
6 · The paper itself

Abstract

Ovarian cancer (OC) is one of the deadliest malignant tumors affecting women worldwide. The predictive value of some blood inflammatory composite markers in OC has been extensively reported. They can be used for early detection and differential diagnosis of OC and can be used for predicting survival, treatment response, and recurrence in the affected patients. Here, we reviewed the predictive values of composite inflammatory markers based on complete blood count, namely neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio, and systemic inflammation index and markers based on blood protein, namely C-reactive protein-to-albumin ratio and prognostic nutritional index in OC, with a focus on NLR and PLR. We referred to the clinical studies on these six markers, reviewed the patient population, and summarized the marker cut-off values, significance, and limitations of these studies. All these studies were retrospective and most of them were single-center clinical studies with small sample sizes. We found that the cut-off values of these markers have not been unified, and methods used to determine these values varied among studies. The predictive value of these markers on survival was mainly reflected in the postoperative patients of multiple subtypes of ovarian cancer including epithelial OC, high-grade serous ovarian carcinoma, and ovarian clear cell carcinoma. We focused on NLR and PLR and calculated their pooled hazard ratios. NLR and PLR were reliable in predicting overall and progression-free survivals in patients with OC. Therefore, it is necessary to adjust important confounding factors and conduct a long-term follow-up prospective cohort study to further clarify the cut-off values of NLR and PLR and their clinical applications.

Indexed as

NeutrophilsOvarian NeoplasmsBlood PlateletsFemaleHumansLymphocytesPrognosisProspective StudiesRetrospective StudiesClinical evidenceComposite inflammatory markersNLROvarian cancerPLRPredictive value

Identifiers

PMID36759864
PMCPMC9912515
OpenAlexW4319731234

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.