Evidence map›Paper›PMID 27165776›Full record

ArticleBMC cardiovascular disorders2016

Overweight modifies the longitudinal association between uric acid and some components of the metabolic syndrome: The Tromsø Study.

Jon V Norvik, Hilde M Storhaug, Kirsti Ytrehus, Trond G Jenssen, Svetlana N Zykova, Bjørn O Eriksen, Marit D Solbu

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. 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
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  19. Relationship Between Sitting Time, Physical Activity, and Metabolic Syndrome Among Adults Depending on Body Mass Index (BMI).Medical science monitor : international medical journal of experimental and clinical research · 2018
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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

7 authors at 2 institutions in 1 country.

Jon V NorvikMetabolic and Renal Research Group, UiT The Arctic University of Norway, N-9037, Tromsø, Norway. jno031@post.uit.no.
Hilde M StorhaugMetabolic and Renal Research Group, UiT The Arctic University of Norway, N-9037, Tromsø, Norway.
Kirsti YtrehusMetabolic and Renal Research Group, UiT The Arctic University of Norway, N-9037, Tromsø, Norway.
Trond G JenssenMetabolic and Renal Research Group, UiT The Arctic University of Norway, N-9037, Tromsø, Norway.
Svetlana N ZykovaMetabolic and Renal Research Group, UiT The Arctic University of Norway, N-9037, Tromsø, Norway.
Bjørn O EriksenMetabolic and Renal Research Group, UiT The Arctic University of Norway, N-9037, Tromsø, Norway.
Marit D SolbuMetabolic and Renal Research Group, UiT The Arctic University of Norway, N-9037, Tromsø, Norway.
UiT The Arctic University of Norway · NOUniversity Hospital of North Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElevated uric acid (UA) is associated with the presence of the metabolic syndrome (MetS). In a prospective cohort study, we assessed whether baseline and longitudinal change in UA were risk factors for development of MetS and its individual components.

methodsWe included 3087 women and 2996 men who had UA measured in the population based Tromsø Study 1994-95. The participants were stratified according to body mass index (BMI). Endpoints were MetS and each component of the syndrome after 7 years, according to the revised National Cholesterol Education Program's Adult Treatment Panel III (NCEP-ATP III) definition.

resultsMultiple logistic regression analyses showed that higher baseline UA was associated with higher odds of developing elevated blood pressure in overweight subjects (BMI ≥ 25 kg/m(2), odds ratio [OR] per 59 μmol/L UA increase 1.44, 95 % confidence interval [CI] = 1.17-1.77, P = 0.001), but not in normal-weight subjects (BMI < 25 kg/m(2), P for interaction = 0.04). Overweight also modified the association between baseline UA and the development of elevated fasting glucose (P for interaction = 0.01). UA was a predictor of MetS in all subjects (OR per 59 μmol/L UA increase 1.29, 95 % CI 1.18-1.41, P < 0.001). Furthermore, longitudinal UA change was independently associated with the development of MetS in all subjects (OR per 59 μmol/L UA increase over 7 years 1.28, 95 % CI 1.16-1.42, P < 0.001).

conclusionIncreased levels of baseline UA independently predicted development of elevated blood pressure and higher fasting glycemia in the overweight, but not the normal-weight subjects. Baseline UA and longitudinal increase in UA over 7 years was associated with the development of MetS in all subjects. Whether increased UA should be treated differently in normal-weight and overweight persons needs further study.

Indexed as

AgedBiomarkersBlood GlucoseBlood PressureBody Mass IndexChi-Square DistributionFemaleHumansHyperglycemiaHypertensionHyperuricemiaLinear ModelsLogistic ModelsLongitudinal StudiesMaleMetabolic SyndromeBiomarkersBlood GlucoseUric AcidCardiovascular riskCohortHypertensionInsulin resistanceLongitudinalMetabolic syndromeObesityOverweightProspectiveUric acid

Identifiers

PMID27165776
PMCPMC4862215
OpenAlexW2346680706

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.