Evidence map›Paper›PMID 24576354›Full record

ArticleBMC hematology2014

Inverse correlation between serum interleukin-6 and iron levels among Japanese adults: a cross-sectional study.

Hiroko Nakagawa, Takashi Tamura, Yoko Mitsuda, Yasuyuki Goto, Yoshikazu Kamiya, Takaaki Kondo, Kenji Wakai, Nobuyuki Hamajima

Abstract read
In one paragraph

Article in BMC hematology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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  9. Article
  10. Review
  11. Article
  12. Cigarette Smoke Particle-Induced Lung Injury and Iron Homeostasis.International journal of chronic obstructive pulmonary disease
    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

8 authors.

Hiroko NakagawaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan. nakagawa.hiroko@g.mbox.nagoya-u.ac.jp.
Takashi Tamura
Yoko Mitsuda
Yasuyuki Goto
Yoshikazu Kamiya
Takaaki Kondo
Kenji Wakai
Nobuyuki Hamajima

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterleukin-6 (IL-6) is a multifunctional cytokine that is produced by many different cell types, and plays an important role in the regulation of inflammation, immune responses, the acute-phase response, and hematopoiesis. Previous laboratory and clinical studies have shown that IL-6 causes a significant decrease in serum iron levels. Therefore, we conducted an epidemiological study to examine the association between serum IL-6 and iron levels.

methodsIn total, 280 Japanese individuals aged 20-78 years were enrolled when they visited a clinic located in an urban area for Helicobacter pylori (H. pylori) infection tests and subsequent eradication; 65.3% were infected with H. pylori. Subjects with gastric cancer, idiopathic thrombocytopenia, or IL-6 > 10 pg/mL were excluded from the study. Serum iron and IL-6 levels were measured using the 2-nitroso-5-(N-propyl-3-sulfopropylamino) phenol method and chemiluminescence enzyme immunoassay, respectively.

resultsGeometric mean iron and IL-6 levels were 111.5 μg/dL and 1.77 pg/mL, respectively, for men, and 89.4 μg/dL and 1.55 pg/mL, respectively, for women. The logarithm of serum iron levels was negatively correlated with the logarithm of IL-6 levels in men (r = -0.19, p = 0.047), but not in women (r = -0.035, p = 0.65). Regression analysis, adjusted for sex, age, and H. pylori infection status, showed that the logarithm of serum iron levels was significantly associated with a decreased logarithm of IL-6 levels (β = -0.053, p = 0.041). The odds ratio for low serum iron levels adjusted for sex, age, and H. pylori infection status was 7.88 (95% CI 1.29-48.06) in those with an IL-6 level > 4 pg/mL.

conclusionLower serum iron levels are significantly associated with higher serum IL-6 levels among Japanese adults.

Identifiers

PMID24576354
PMCPMC3974032

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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.