Evidence map›Paper›PMID 33545957›Full record

SynthesisMedicine2021

The association between rs1800872 polymorphism in interleukin-10 and risk of cervical cancer: A meta-analysis.

Kexin Wang, Zhen Jiao, Hongxiang Chen, Xiaowan Liu, Jing Lu, Xuli Liu, Jinming Li, Lin Wang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Association of theGenetics research · 2022
    Pooled it
  2. Article
  3. Review
  4. Association of interleukin-10Open life sciences · 2023
    Article
  5. Article
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.

Kexin WangGynecology Department, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Zhen Jiao
Hongxiang Chen
Xiaowan Liu
Jing Lu
Xuli Liu
Jinming Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, several reports have tried to prove this connection between rs1800872 polymorphism in interleukin-10 and cervical cancer among different populations, but the results are debatable. Thus, we collected all the published literature and conducted an integrated meta-analysis, which provided better evidence-based medicine for the relationship between rs1800872 polymorphism in interleukin-10 and risk of cervical cancer.

methodsWe systematically performed our search on PubMed, EMBASE, Web of Science, WanFang database, and CNKI for all papers related to this research, published up to August 1, 2020. Summary odds ratios (OR) with 95% confidence interval (95% CI) were calculated in allelic, homozygous, heterozygous, dominant, and recessive model to appraise the association.

resultsThe meta-analysis included 8 studies containing 1393 cervical cancer cases and 1307 controls. The aggregate data under heterozygous model and dominant inheritance model (OR = 0.66, 95% CI: 0.55--0.80) indicated a significant association between rs1800872 and the low risk of cervical cancer in the entire population. And the aggregated data under the dominant inheritance model shows that rs1800872 is significantly associated with the reduction in the risk of cervical tumors in the entire population.

conclusionOur conclusion is that the AC/AA + AC variant of Rs1800872 indicates a protective effect in the development of cervical cancer.

Indexed as

Genetic Predisposition to DiseaseAsian PeopleFemaleHumansInterleukin-10Polymorphism, Single NucleotideRisk FactorsUterine Cervical NeoplasmsWhite PeopleIL10 protein, humanInterleukin-10

Identifiers

PMID33545957
PMCPMC7837934

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.