Evidence map›Paper›PMID 35223622›Full record

ReviewIranian journal of public health2022

Association of Interleukin 10 (IL-10) Gene Polymorphism (819T > C) with Susceptibility to Acute Myeloid Leukemia: A Meta-Analysis.

Hamid Reza Ahadi, Amin Ebrahimi Sadrabadi, Arsalan Jalili, Abbas Hajifathali

Abstract readReview
In one paragraph

Review in Iranian journal of public health, 2022. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Association of genetic predisposition studies inSaudi journal of biological sciences · 2024
    Article
  3. Article
  4. Review
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.

Hamid Reza AhadiHematopoietic Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Amin Ebrahimi SadrabadiDepartment of Stem Cells and Developmental Biology, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.
Arsalan JaliliHematopoietic Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Abbas HajifathaliHematopoietic Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies reported an association between interleukin (IL)-10 -819T>C polymorphism and the risk of developing Acute myeloid leukemia (AML), however due to inconsistency among these results, relationship between IL-10 -819T>C polymorphism and AML remained unclear. We herein performed this meta-analysis to investigate the association of IL-10 -819T >C polymorphism with the risk of AML.

methodsA systematic search through PubMed, Embase, Scopus, Cochrane Library and OpenGrey was performed from inception to Jan 2021. Odds ratios (OR) with their corresponding 95% confidence intervals (CI) for five possible genetic models were calculated. Heterogeneity was assessed using the Cochran Q test and the I

resultsOur results indicated no statically significant association between IL-10 -819T>C polymorphism and the risk of developing AML; dominant model (OR=0.87, 95% CI=0.42-1.81); recessive model (OR=1.17, 95% CI = 0.43-3.16); allelic model (OR=1.00, 95% CI=0.54-1.88); CC vs. TT (OR=1.00,95% CI=0.30-3.36); and TC vs. TT (OR=0.80, 95%CI =0.46-1.37).

conclusionIL-10 -819T > C polymorphism is not associated with the risk of AML. However further studies focusing on other parameters such as sex, gene-gene interactions and environmental factors are required to reveal the true association of IL-10 -819T > C polymorphism with AML.

Indexed as

Acute myeloid leukemiaInterleukin 10Meta-analysisPolymorphism

Identifiers

PMID35223622
PMCPMC8837884

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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.