Evidence map›Paper›PMID 33850979›Full record

ArticleData in brief2021

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

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

10 authors.

Xingping HanDepartment of Oncology, The Affiliated Hospital of Southwest Medical University, #25 Taiping Street, Jiangyang District, Luzhou, Sichuan 646000, People's Republic of China.
Shuya LiuDepartment of Oncology, The Affiliated Hospital of Southwest Medical University, #25 Taiping Street, Jiangyang District, Luzhou, Sichuan 646000, People's Republic of China.
Hossein HosseinifardDepartment of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Saber ImaniDepartment of Oncology, The Affiliated Hospital of Southwest Medical University, #25 Taiping Street, Jiangyang District, Luzhou, Sichuan 646000, People's Republic of China.
Gang YangDepartment of Oncology, The Affiliated Hospital of Southwest Medical University, #25 Taiping Street, Jiangyang District, Luzhou, Sichuan 646000, People's Republic of China.
Lisha YangDepartment of Obstetrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, People's Republic of China.
Mazaher MaghsoudlooLaboratory of Systems Biology and Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
ShaoZhi FuDepartment of Oncology, The Affiliated Hospital of Southwest Medical University, #25 Taiping Street, Jiangyang District, Luzhou, Sichuan 646000, People's Republic of China.
QingLian WenDepartment of Oncology, The Affiliated Hospital of Southwest Medical University, #25 Taiping Street, Jiangyang District, Luzhou, Sichuan 646000, People's Republic of China.
Qiang LiuDepartment 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 I

Indexed as

Meta-analysisMeta-regression analysisSystemic immune-inflammation responseUterine cervical cancer

Identifiers

PMID33850979
PMCPMC8039823

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.