Descriptive statistics of dataset from the meta-analysis and meta-regression analysis on prognostic significance of pre-treatment systemic hemato-immunological indices of cervical cancer patients

Xingping Han; Shuya Liu; Hossein Hosseinifard; Saber Imani; Gang Yang; Lisha Yang; Mazaher Maghsoudloo; ShaoZhi Fu; QingLian Wen; Qiang Liu

doi:10.1016/j.dib.2021.106925

Descriptive statistics of dataset from the meta-analysis and meta-regression analysis on prognostic significance of pre-treatment systemic hemato-immunological indices of cervical cancer patients

Data Brief. 2021 Mar 3:35:106925. doi: 10.1016/j.dib.2021.106925. eCollection 2021 Apr.

Authors

Xingping Han^{1

2}, Shuya Liu¹, Hossein Hosseinifard³, Saber Imani¹, Gang Yang^{1

4}, Lisha Yang⁵, Mazaher Maghsoudloo⁶, ShaoZhi Fu¹, QingLian Wen¹, Qiang Liu⁷

Affiliations

¹ Department of Oncology, The Affiliated Hospital of Southwest Medical University, #25 Taiping Street, Jiangyang District, Luzhou, Sichuan 646000, People's Republic of China.
² Clinical Nursing Research Institute, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, People's Republic of China.
³ Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
⁴ Department of Oncology, Anyue Hospital of Traditional Chinese Medicine, Second Ziyang Hospital of Traditional Chinese Medicine, Ziyang, Sichuan, People's Republic of China.
⁵ Department of Obstetrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, People's Republic of China.
⁶ Laboratory of Systems Biology and Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
⁷ Department of Obstetrics and Gynecology, Daping Hospital (Army Medical Center of PLA), Army Medical University, #10 Changjiang Branch Road, Yuzhong District, Chongqing 400038, People's Republic of China.

Abstract

In this study, we perform a meta-analysis and meta-regression analysis for the article entitled "Prognostic value of systemic hemato-immunological indices in uterine cervical cancer: A systemic review, meta-analysis, and meta-regression of observational studies." [1] We implemented quantitative meta-analyses and time series meta-regression analysis to determine whether systemic hemato-immunological indices, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), thrombocyte-to-lymphocyte ratio (TLR), and C-reactive protein/albumin ratio (CAR) are associated with an increased risk of cervical collision cancer. In all, 9558 patients from 22 studies were included after a systematic data search, performed comprehensively using the following databases: MEDLINE, Web of Science, Embase, and Cochrane. The meta-analysis was conducted with a random-effects model using the Review Manager software (Revman version 5.3). The overall survival (OS), disease-free survival (DFS), and progression-free survival (PFS) data were compared among each observational study. All data are expressed as hazard ratios (HRs) and 95% confidence intervals (CIs), and were calculated using the generic inverse of variance method. Statistical heterogeneity was quantified using Cochrane's Q statistic and Higgins I² statistic. Subgroup analysis was performed to investigate the sources of heterogeneity. Furthermore, quality assessment of the included datasets was presented according to the Newcastle-Ottawa Scale method. Additionally, sensitivity analysis was conducted to explore the sources of heterogeneity and analyze whether the results were stable and reliable. Meta-analysis random-effect approach was used for the regression to evaluate the effect of age, presence of squamous cell carcinoma patients, and number of evaluated NLR and PLR parameters on patient survival.

Keywords: Meta-analysis; Meta-regression analysis; Systemic immune-inflammation response; Uterine cervical cancer.