Evidence map›Paper›PMID 24533139›Full record

ArticlePloS one2014

Serum immunoglobulin M concentration is positively related to metabolic syndrome in an adult population: Tianjin Chronic Low-Grade Systemic Inflammation and Health (TCLSIH) Cohort Study.

Kun Song, Huanmin Du, Qing Zhang, Chongjin Wang, Yinting Guo, Hongmei Wu, Li Liu, Qiyu Jia, Xing Wang, Hongbin Shi and 2 more

Open access · goldAbstract read
In one paragraph

Article 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
3.5field-weighted citation impact, top 7% 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, 35 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Kun SongHealth Management Center, Tianjin Medical University General Hospital, Tianjin, China.
Huanmin DuNutritional Epidemiology Institute, Tianjin Medical University, Tianjin, China ; School of Public Health, Tianjin Medical University, Tianjin, China.
Qing ZhangHealth Management Center, Tianjin Medical University General Hospital, Tianjin, China.
Chongjin WangHealth Management Center, Tianjin Medical University General Hospital, Tianjin, China.
Yinting GuoNutritional Epidemiology Institute, Tianjin Medical University, Tianjin, China ; School of Public Health, Tianjin Medical University, Tianjin, China.
Hongmei WuNutritional Epidemiology Institute, Tianjin Medical University, Tianjin, China ; School of Public Health, Tianjin Medical University, Tianjin, China.
Li LiuHealth Management Center, Tianjin Medical University General Hospital, Tianjin, China.
Qiyu JiaHealth Management Center, Tianjin Medical University General Hospital, Tianjin, China.
Xing WangHealth Management Center, Tianjin Medical University General Hospital, Tianjin, China.
Hongbin ShiHealth Management Center, Tianjin Medical University General Hospital, Tianjin, China.
Shaomei SunHealth Management Center, Tianjin Medical University General Hospital, Tianjin, China.
Kaijun NiuNutritional Epidemiology Institute, Tianjin Medical University, Tianjin, China ; School of Public Health, Tianjin Medical University, Tianjin, China.
Tianjin Medical University General Hospital · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Persistent low-grade systemic inflammation has been increasingly recognized as a common pathological process, and an important contributing factor to cardiovascular diseases and its risk factor, metabolic syndrome. Immunoglobulin M is reactive to multiple autoantigens and is inferred to be important for autoimmunity, implying that immunoglobulin M may be a potential risk factor for metabolic syndrome. However, few epidemiological studies are available which are related to this potential link. Therefore, we designed a cross-sectional study of 9,379 subjects to evaluate the relationship between immunoglobulin M and metabolic syndrome in an adult population. Subjects who received health examinations were recruited from the Tianjin Medical University General Hospital-Health Management Center in Tianjin, China. Immunoglobulin M was determined with an immunonephelometric technique. Metabolic syndrome was defined according to the criteria of the American Heart Association scientific statements of 2009. Multiple logistic regression analysis was used to examine the relationships between the quartiles of immunoglobulin M and the prevalence of metabolic syndrome. After adjustment for covariates, the odds ratio of having metabolic syndrome in the fourth quartile compared with the first quartile of immunoglobulin M was 1.19 times for males (95% confidence interval, 1.002-1.41) and 1.39 times for females (95% confidence interval, 1.07-1.80). Immunoglobulin M levels also showed positive relationships with the ratio of elevated triglycerides and reduced high-density lipoprotein cholesterol in males. The study is the first to show that immunoglobulin M is independently related to metabolic syndrome and its individual components (elevated triglycerides and reduced high-density lipoprotein cholesterol) in males, whereas immunoglobulin M is independently related to metabolic syndrome in females but not to its individual components. Further studies are needed to explore the causality and the exact role of immunoglobulin M in metabolic syndrome.

Indexed as

AdultAgedAged, 80 and overAnthropometryAutoimmunityBlood PressureBody Mass IndexChinaCholesterol, HDLCohort StudiesCross-Sectional StudiesFemaleHumansImmunoglobulin MInflammationMaleCholesterol, HDLImmunoglobulin MTriglycerides

Identifiers

PMID24533139
PMCPMC3923043
OpenAlexW2050874577

What OpenQuestion holds

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LicenceCC BY
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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.