Evidence map›Paper›PMID 33126384›Full record

SynthesisMedicine2020

The single nucleotide polymorphisms of interleukin-10 are associated with the risk of leukaemia: Evidence from 18 case-control studies.

Shupei Gao, Kun Tang, Jinqing Chen, Jianmiao Wang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Analysis of Mutational Status ofInternational journal of molecular sciences · 2024
    Article
  4. 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

4 authors at 1 institution in 2 countries.

Shupei GaoDepartment of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Road, Wuhan, China.
Kun Tang
Jinqing Chen
Jianmiao Wang
Alltech (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interleukin-10(IL-10) is an immunosuppressive cytokine and plays an important role in inflammation and cancers. Numerous studies have explored the association between single nucleotide polymorphisms of IL-10 and leukemia, but their results were conflicting, so we performed this meta-analysis to elucidate the association between 3 common single nucleotide polymorphisms of IL-10 (rs1800896, rs1800871 and rs1800872) and risk of leukemia.We conducted a comprehensive research in Pubmed, Chinese Biomedical Literature Database disc and Embase using related terms. After strict selection, 18 studies with 2264 cases and 3846 controls were included into this meta-analysis. Odds ratio and 95% confidence interval were used to evaluate the strength of the association.We found that polymorphism of IL-10 -1082A/G was associated with decreased risk of leukemia both in overall analysis and in stratified analysis according to ethnicity and cancer type. A strong relationship was also uncovered between polymorphism of IL-10 -592C/A and increased risk of leukemia in non-Chinese.GG genotype of IL-10 -1082A/G is associated with decreased risk of leukemia, especially chronic lymphocytic leukemia. CC genotype of -592C/A is associated with decreased risk of leukemia in non-Chinese.

Indexed as

Genetic Predisposition to DiseaseCase-Control StudiesEthnicityHumansInterleukin-10LeukemiaPolymorphism, Single NucleotideRiskInterleukin-10

Identifiers

PMID33126384
PMCPMC7598852
OpenAlexW3096569462

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.