Evidence map›Paper›PMID 24465825›Full record

SynthesisPloS one2014

Common variants on cytotoxic T lymphocyte antigen-4 polymorphisms contributes to type 1 diabetes susceptibility: evidence based on 58 studies.

Jingnan Wang, Lianyong Liu, Junhua Ma, Fei Sun, Zefei Zhao, Mingjun Gu

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Gain-of-function mutation inbioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. In Vitro Analysis of CTLA-4-Mediated Transendocytosis by Regulatory T Cells.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Therapies for Type 1 Diabetes: Current Scenario and Future Perspectives.Clinical medicine insights. Endocrinology and diabetes · 2019
    Review
  15. Article
  16. Article
  17. Article
  18. Association study ofBioImpacts : BI · 2016
    Article
  19. 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

6 authors at 2 institutions in 1 country.

Jingnan WangDepartment of Endocrine, Shanghai Pudong New Area Gongli Hospital, Shanghai, People's Republic of China.
Lianyong LiuDepartment of Endocrine, Shanghai Pudong New Area Gongli Hospital, Shanghai, People's Republic of China.
Junhua MaDepartment of Endocrine, Shanghai Pudong New Area Gongli Hospital, Shanghai, People's Republic of China.
Fei SunDepartment of Endocrine, Shanghai Pudong New Area Gongli Hospital, Shanghai, People's Republic of China.
Zefei ZhaoDepartment of Endocrine, Shanghai Pudong New Area Gongli Hospital, Shanghai, People's Republic of China.
Mingjun GuDepartment of Endocrine, Shanghai Pudong New Area Gongli Hospital, Shanghai, People's Republic of China.
Second Military Medical University · CNShanghai Pudong New Area Gongli Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past decade, a number of case-control studies have been carried out to investigate the relationship between the CTLA4 gene polymorphisms and type 1 diabetes (T1D). However, these studies have yielded contradictory results. To investigate this inconsistency, we performed a meta-analysis of all available studies dealing with the relationship between the CTLA4 polymorphism and T1D. In total, 58 association studies on two CTLA4 polymorphisms (G49A and C60T) and risk of T1D, including a total of 30,723 T1D cases and 45,254 controls were included. In a combined analysis, the summary per-allele odds ratio (OR) for T1D of the G49A and C60T polymorphism was 1.42 [95% confidence interval (CI): 1.31-1.53, P<10(-5)] and 1.23 (95% CI: 1.18-1.29, P<10(-5)), respectively. Significant results were also observed using dominant or recessive genetic model. In the subgroup analysis by ethnicity and sample size, significantly increased risks were also found for these polymorphisms. This meta-analysis demonstrated that the G49A and C60T polymorphism of CTLA4 is a risk factor associated with increased T1D susceptibility, but these associations vary in different ethnic populations.

Indexed as

Polymorphism, Single NucleotideCase-Control StudiesCTLA-4 AntigenDiabetes Mellitus, Type 1Gene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseHaplotypesHumansLinkage DisequilibriumRisk FactorsCTLA-4 AntigenCTLA4 protein, human

Identifiers

PMID24465825
PMCPMC3900458
OpenAlexW1998985905

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.