Evidence map›Paper›PMID 28948573›Full record

ArticleJournal of endocrinological investigation2018

Interaction between gender and uric acid on hemoglobin A1c in community-dwelling persons.

R Kawamoto, D Ninomiya, Y Kasai, K Senzaki, T Kusunoki, N Ohtsuka, T Kumagi

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of endocrinological investigation, 2018. 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
2.0field-weighted citation impact, top 13% 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, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Risk Predictors of High Uric Acid Levels Among Patients with Type-2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Article
  6. Article
  7. Association of Serum Uric Acid with Cardiovascular Disease Risk Scores in Koreans.International journal of environmental research and public health · 2019
    Article
  8. Article
  9. Article
  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

7 authors at 2 institutions in 1 country.

R KawamotoDepartment of Community Medicine, Ehime University Graduate School of Medicine, Tōon, Ehime, 791-0295, Japan. rykawamo@m.ehime-u.ac.jp.ORCID http://orcid.org/0000-0003-4674-0787
D NinomiyaDepartment of Community Medicine, Ehime University Graduate School of Medicine, Tōon, Ehime, 791-0295, Japan.
Y KasaiDepartment of Internal Medicine, Seiyo Municipal Nomura Hospital, 9-53 Nomura, Nomura-cho, Seiyo, Ehime, 797-1212, Japan.
K SenzakiDepartment of Community Medicine, Ehime University Graduate School of Medicine, Tōon, Ehime, 791-0295, Japan.
T KusunokiDepartment of Internal Medicine, Seiyo Municipal Nomura Hospital, 9-53 Nomura, Nomura-cho, Seiyo, Ehime, 797-1212, Japan.
N OhtsukaDepartment of Internal Medicine, Seiyo Municipal Nomura Hospital, 9-53 Nomura, Nomura-cho, Seiyo, Ehime, 797-1212, Japan.
T KumagiDepartment of Community Medicine, Ehime University Graduate School of Medicine, Tōon, Ehime, 791-0295, Japan.
Kawamura Hospital · JPEhime University · JP

Funding

Grant-in-Aid for Scientific Research (C) 2015-2017
6 · The paper itself

Abstract

introductionHigher glycated hemoglobin (Hb) (HbA1c) is significantly associated with an increased risk of cardiovascular disease (CVD). Serum uric acid (SUA) levels are associated with glucose intolerance and type 2 diabetes. Whether gender-specific differences regarding the relationship between SUA levels and HbA1c exist is unknown.

aimWe recruited 1636 (men, 696 aged of 70 ± 10 years; women, 940 aged of 70 ± 9 years) participants and enrolled in the study during their annual health examination from a single community. We investigated the association between SUA levels and HbA1c within each gender.

resultsMultiple linear regression analysis showed that in men, SUA (β = -0.091, p = 0.014) with prevalence of antidiabetic medication (β = 0.428, p < 0.001) and eGFR (β = 0.112, p = 0.016) were significantly and negatively associated with HbA1c, and in women, SUA (β = 0.101, p = 0.002) with prevalence of antidiabetic medication (β = 0.458, p < 0.001) were significantly and positively associated with HbA1c. Moreover, the interaction between gender and SUA (β = 0.445, p < 0.001) as well as gender (β = -0.465, p < 0.001), prevalence of antidiabetic medication (β = 0.444, p < 0.001), eGFR

conclusionsThe interaction between gender and SUA was associated with HbA1c independent of other metabolic factors in community-dwelling persons.

Indexed as

AgedBlood GlucoseDiabetes Mellitus, Type 2FemaleGlomerular Filtration RateGlycated HemoglobinHumansJapanLongitudinal StudiesMaleRisk FactorsSex FactorsUric AcidBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanUric AcidCommunity-dwelling personsGenderHemoglobin A1cInteractionUric acid

Identifiers

PMID28948573
OpenAlexW2758258319

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.