Evidence map›Paper›PMID 26656273›Full record

SynthesisScientific reports2015

A meta-analysis of interaction between Epstein-Barr virus and HLA-DRB1*1501 on risk of multiple sclerosis.

Di Xiao, Xingguang Ye, Na Zhang, Meiling Ou, Congcong Guo, Baohuan Zhang, Yang Liu, Man Wang, Guang Yang, Chunxia Jing

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. How Does the Immune System Enter the Brain?Frontiers in immunology · 2022
    Review
  11. Review
  12. Article
  13. Environmental and genetic risk factors for MS: an integrated review.Annals of clinical and translational neurology · 2019
    Review
  14. HLA alleles modulate EBV viral load in multiple sclerosis.Journal of translational medicine · 2018
    Article
  15. Review
  16. Article
  17. Article
  18. 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

10 authors at 1 institution in 1 country.

Di XiaoDepartment of Epidemiology, School of Medicine, Jinan University, Guangzhou, China.
Xingguang YeDepartment of Epidemiology, School of Medicine, Jinan University, Guangzhou, China.
Na ZhangDepartment of Epidemiology, School of Medicine, Jinan University, Guangzhou, China.
Meiling OuDepartment of Epidemiology, School of Medicine, Jinan University, Guangzhou, China.
Congcong GuoDepartment of Epidemiology, School of Medicine, Jinan University, Guangzhou, China.
Baohuan ZhangDepartment of Epidemiology, School of Medicine, Jinan University, Guangzhou, China.
Yang LiuDepartment of Epidemiology, School of Medicine, Jinan University, Guangzhou, China.
Man WangDepartment of Epidemiology, School of Medicine, Jinan University, Guangzhou, China.
Guang YangDepartment of Parasitology, School of Medicine, Jinan University, No.601, Huangpu Avenue West, Guangzhou, Guangdong, China.
Chunxia JingDepartment of Epidemiology, School of Medicine, Jinan University, Guangzhou, China.
Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection with Epstein-Barr virus (EBV) and HLA-DRB1*1501-positivity is a risk factor for multiple sclerosis (MS), but whether an interaction between these two factors causes MS is unclear. We therefore conducted a meta-analysis on the effect of the interaction between HLA-DRB1*1501 and EBV infection on MS. Searches of PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), and the Wanfan databases through February 2015 yielded 5 studies that met the criteria for inclusion in the meta-analysis. EBV infection and HLA-DRB1*1501-positivity were dichotomized. The additive (S) and multiplicative interaction indexes (OR) between EBV infection and HLA-DRB1*1501 and their 95% confidence intervals (95%CI) were calculated for each study and then combined in a meta-analysis. EBV infection was significantly associated with MS (OR = 2.60; 95%CI, 1.48-4.59). HLA-DRB1*1501 was associated with a significantly increased risk of MS (OR, 3.06; 95%CI, 2.30-4.08). An interaction effect between EBV infection and HLA-DRB1*1501 on MS was observed on the additive scale (S, 1.43; 95%CI, 1.05-1.95, P = 0.023), but no interaction effect was observed on the multiplicative scale (OR, 0.86, 95%CI, 0.59-1.26). This meta-analysis provides strong evidence that EBV alone, HLA-DRB1*1501 alone or their interaction is associated with an elevated risks of MS.

Indexed as

Epstein-Barr Virus InfectionsHerpesvirus 4, HumanHLA-DRB1 ChainsHost-Pathogen InteractionsHumansMultiple SclerosisRisk AssessmentRisk FactorsHLA-DRB1*15:01 antigenHLA-DRB1 Chains

Identifiers

PMID26656273
PMCPMC4676020
OpenAlexW2196163632

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.