Evidence map›Paper›PMID 26309626›Full record

ArticleInternational journal of clinical and experimental medicine2015

Meta-analysis of macrophage migration inhibitory factor (MIF) gene -173G/C polymorphism and inflammatory bowel disease (IBD) risk.

Jianfeng Yang, Yanqi Li, Xiaofeng Zhang

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

3 authors at 2 institutions in 1 country.

Jianfeng YangDepartment of Gastroenterology, Hangzhou First People's Hospital No. 261 Huansha Road, Hangzhou 310006, Zhejiang, China.
Yanqi LiThe School of Statistics, Renmin University of China 59 Zhongguancun Ave., Beijing 100872, China.
Xiaofeng ZhangDepartment of Gastroenterology, Hangzhou First People's Hospital No. 261 Huansha Road, Hangzhou 310006, Zhejiang, China.
Hangzhou First People's Hospital · CNRenmin University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macrophage migration inhibitory factor (MIF) is a multi-functional cytokine associated with inflammation and inflammatory bowel disease (IBD). The association between MIF-173G/C polymorphism and IBD risk has been extensively investigated. However, the results were conflicted and inconclusive. Therefore, we performed this meta-analysis. Online electronic databases (PubMed and EMBASE) was searched. All statistical tests were performed with the software STATA version 11.0 (Stata Corporation, College station, TX, USA). A total of nine studies (ten cohorts) with 3436 cases and 2742 controls were included for this meta-analysis. MIF-173G/C polymorphism was associated with a significantly increased risk of IBD when compared with CG and GG genotypes (OR=1.43; 95% CI 1.08-1.90; I(2) =0%). In the subgroup analysis according to ethnicity, significantly increased IBD risk was observed in Asians (OR=1.74; 95% CI 1.10-2.74; I(2) =0%) but not in Caucasians (OR=1.27; 95% CI 0.89-1.82; I(2) =0%). In the subgroup analysis according to IBD type, significantly increased UC risk was observed (OR=1.43; 95% CI 1.04-1.95; I(2) =0%). In conclusion, this meta-analysis suggested that MIF-173G/C polymorphism was associated with increased IBD risk.

Indexed as

Inflammatory bowel diseasemacrophage migration inhibitory factormeta-analysis

Identifiers

PMID26309626
PMCPMC4537990
OpenAlexW1133359471

What OpenQuestion holds

Textmetadata
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.