Evidence map›Paper›PMID 26550259›Full record

ArticleInternational journal of clinical and experimental medicine2015

Association between serum ferritin levels and metabolic syndrome: an updated meta-analysis.

Yuelong Jin, Lianping He, Yi Chen, Yun Fang, Yingshui Yao

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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Observational
  4. Review
  5. Serum Uric Acid in Roma and Non-Roma-Its Correlation with Metabolic Syndrome and Other Variables.International journal of environmental research and public health · 2018
    Article
  6. 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

5 authors.

Yuelong JinSchool of Public Health, Wannan Medical College Wuhu 241002, Anhui, China.
Lianping HeSchool of Public Health, Wannan Medical College Wuhu 241002, Anhui, China.
Yi ChenSchool of Clinic Medicine, Wannan Medical College Wuhu 241002, Anhui, China.
Yun FangSchool of Public Health, Wannan Medical College Wuhu 241002, Anhui, China.
Yingshui YaoSchool of Public Health, Wannan Medical College Wuhu 241002, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is definite that the serum iron level has a positive correlation with the risk of obesity. However, the association between increased serum ferritin levels and the metabolic syndrome still remains controversial. The purpose of this meta-analysis is to confirm the association between serum ferritin levels and metabolic syndrome. We searched PubMed and the China National Knowledge Infrastructure (CNKI) for relevant articles that assessed the association between serum ferritin levels and metabolic syndrome and were published between 2006 and 2014. Review Manage 5.3 software was used to collect and analysis the data cited in the ultimately selected papers. The variance was exhibited using the forest plot and the heterogeneity among studies was examined using the I(2) index. We use the funnel plot to evaluate the publication bias. Cross-sectional study, case-control study and prospective cohort study met our inclusion criteria including data from a total of 4,797 participants. The pooled odds ratio (OR) for the metabolic syndrome comparing the highest and lowest category of ferritin levels was 1.20 (95% CI: 0.69, 1.71; I(2)=96%). The meta-analysis demonstrates that elevated ferritin levels are positive aassociated with metabolic syndrome.

Indexed as

Ferritinmeta-analysismetabolic syndrome

Identifiers

PMID26550259
PMCPMC4612944

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.