Meta-Analysis

Department of Obstetrics & Gynecology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China

‡First equal authors

Taohong Zhang‡

https://orcid.org/0000-0003-0036-7745

Department of Obstetrics & Gynecology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China

‡First equal authors

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Xinyi He

Department of Obstetrics & Gynecology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China

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Huiqiu Xu

Department of Obstetrics & Gynecology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China

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Lisha Wang

Department of Obstetrics & Gynecology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China

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Weihua Zhou

Department of Obstetrics & Gynecology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China

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Li Gao

*Author for correspondence: Tel.: +86 180 6671 8816;

E-mail Address: gaoli23@mail.xjtu.edu.cn

https://orcid.org/0000-0003-0036-7745

Department of Obstetrics & Gynecology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China

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Ruifang An

**Author for correspondence: Tel.: +86 189 9123 2090;

E-mail Address: anruifang@163.com

https://orcid.org/0000-0003-0036-7745

Department of Obstetrics & Gynecology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China

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Published Online:8 Mar 2024https://doi.org/10.2217/fon-2023-0919

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Abstract

Background: Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been reported to play a diagnostic and predictive role in gestational trophoblastic disease. However, the conclusions are still ambiguous. This meta-analysis aimed to evaluate the combined predictive value of NLR and PLR in the malignant progression of gestational trophoblastic disease. Method: Electronic databases including PubMed, Embase, the Cochrane Library, Web of Science, Chinese National Knowledge Infrastructure, Wanfang and China Biomedical Literature Database were searched for the relevant literature published up to 1 October 2022. Study selection and data extraction were performed independently by two reviewers. All analyses were performed using Revman, MetaDisc and STATA software. Results: A total of 858 patients from five studies were included in this meta-analysis. The pooled sensitivity and specificity of NLR were 0.8 (95% CI: 0.71–0.88) and 0.73 (95% CI: 0.69–0.76), respectively, and the area under curve of the summary receiver operating curve was 0.81. The pooled sensitivity and specificity of PLR were 0.87 (95% CI: 0.75–0.95) and 0.49 (95% CI: 0.44–0.54), respectively, and the area under curve of the summary receiver operating curve was 0.88. I² statistic and Deek's funnel plot showed no heterogeneity and publication bias. Conclusion: NLR can accurately predict the progression from hydatidiform mole to gestational trophoblastic neoplasia and is a promising biomarker in further follow-up.

Keywords:

Papers of special note have been highlighted as: • of interest

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Vol. 20, No. 7

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History

Received 27 October 2023

Accepted 20 February 2024

Published online 8 March 2024

Published in print March 2024

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Supplementary data

To view the supplementary data that accompany this paper please visit the journal website at: www.futuremedicine.com/doi/suppl/10.2217/fon-2023-0919

Author contributions

Y Guo and T Zhang are the lead authors and participate in the whole article writing. R An and L Gao are the guarantors of the study and take responsibility for the content of the manuscript. Y Guo and T Zhang were responsible for designing the study and analyzing the data. T Zhang, Y Guo and X He participated in study screening and data extraction. H Xu and W Zhou was involved in drafting the manuscript. L Wang, H Xu and W Zhou assessed the methodological quality and publication bias. L Wang, H Xu and W Zhou revised the manuscript for important content. R An and L Gao have approved the final version for submission and publication. All authors involved have read and approved the finial manuscript.

Acknowledgments

The authors appreciate the endeavors of all the authors and patients of the previous research for providing data for this meta-analysis. They would also like to thank MogoEdit (www.mogoedit.com) for English language editing during the preparation of this manuscript.

Financial disclosure

This study was supported by the National Natural Science Foundation of China (No. 81972428). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Competing interests disclosure

The authors have no competing interests or relevant affiliations with any organization or entity with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, stock ownership or options and expert testimony.

Writing disclosure

Medical writing English editing was provided by MogoEdit (www.mogoedit.com) and was funded by the National Natural Science Foundation of China (No. 81972428).

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A meta-analysis of predictive value of blood biomarkers in gestational trophoblastic neoplasia

Abstract

References