Evidence map›Paper›PMID 25705909›Full record

ArticlePloS one2015

Cut-off value of total adiponectin for managing risk of developing metabolic syndrome in male Japanese workers.

Akiko Hata, Koji Yonemoto, Yosuke Shikama, Nanako Aki, Chisato Kosugi, Ayako Tamura, Takako Ichihara, Takako Minagawa, Yumi Kuwamura, Masashi Miyoshi and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    Pooled it
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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 3 institutions in 1 country.

Akiko HataClinical Research Center for Diabetes, Tokushima University Hospital, Tokushima, Japan.
Koji YonemotoBiostatistics Center, Kurume University, Fukuoka, Japan.
Yosuke ShikamaClinical Research Center for Diabetes, Tokushima University Hospital, Tokushima, Japan.
Nanako AkiClinical Research Center for Diabetes, Tokushima University Hospital, Tokushima, Japan; Department of Medicine and Bioregulatory Sciences, The University of Tokushima Graduate School of Medical Sciences, Tokushima, Japan.
Chisato KosugiClinical Research Center for Diabetes, Tokushima University Hospital, Tokushima, Japan.
Ayako TamuraDepartment of Nursing Science, Institute of Health Biosciences, The University of Tokushima Graduate School, Tokushima, Japan.
Takako IchiharaDepartment of Nursing Science, Institute of Health Biosciences, The University of Tokushima Graduate School, Tokushima, Japan.
Takako MinagawaDepartment of Nursing Science, Institute of Health Biosciences, The University of Tokushima Graduate School, Tokushima, Japan.
Yumi KuwamuraDepartment of Nursing Science, Institute of Health Biosciences, The University of Tokushima Graduate School, Tokushima, Japan.
Masashi MiyoshiClinical laboratory, Tokushima University Hospital, Tokushima, Japan.
Takayuki NakaoClinical laboratory, Tokushima University Hospital, Tokushima, Japan.
Makoto FunakiClinical Research Center for Diabetes, Tokushima University Hospital, Tokushima, Japan.
Tokushima University Hospital · JPTokushima University · JPKurume University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo determine the optimal cut-off value of serum total adiponectin for managing the risk of developing metabolic syndrome (MetS) in male Japanese workers.

methodsA total of 365 subjects without MetS aged 20-60 years were followed up prospectively for a mean of 3.1 years. The accelerated failure-time model was used to estimate time ratio (TR) and cut-off value for developing MetS.

resultsDuring follow-up, 45 subjects developed MetS. Age-adjusted TR significantly declined with decreasing total adiponectin level (≤ 4.9, 5.0-6.6, 6.7-8.8 and ≥ 8.9 μg/ml, P for trend = 0.003). In multivariate analyses, TR of MetS was 0.12 (95% CI 0.02-0.78; P = 0.03) in subjects with total adiponectin level of 5.0-6.6 μg/ml, and 0.15 (95% CI 0.02-0.97; P = 0.047) in subjects with total adiponectin level ≤ 4.9 μg/ml compared with those with total adiponectin level ≥ 8.9 μg/ml. The accelerated failure-time model showed that the optimal cut-off value of total adiponectin for managing the risk of developing MetS was 6.2 μg/ml. In the multivariate-adjusted model, the mean time to the development of MetS was 78% shorter for total adiponectin level ≤ 6.2 μg/ml compared with > 6.2 μg/ml (TR 0.22, 95% CI: 0.08-0.64, P = 0.005).

conclusionOur findings suggest that the cut-off value for managing the risk of developing MetS is 6.2 μg/ml in male Japanese workers. Subjects with total adiponectin level ≤ 6.2 μg/ml developed MetS more rapidly than did those with total adiponectin level > 6.2 μg/ml.

Indexed as

AdiponectinAdultAsian PeopleBiomarkersBody Mass IndexHumansJapanMaleMetabolic SyndromeMultivariate AnalysisOccupational DiseasesProspective StudiesReference ValuesRisk FactorsSurveys and QuestionnairesAdiponectinBiomarkers

Identifiers

PMID25705909
PMCPMC4337907
OpenAlexW1988204280

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.