Evidence map›Paper›PMID 30305269›Full record

SynthesisBMJ (Clinical research ed.)2018

Evaluation of the diet wide contribution to serum urate levels: meta-analysis of population based cohorts.

Tanya J Major, Ruth K Topless, Nicola Dalbeth, Tony R Merriman

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 3 pooled it
–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

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

111 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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51 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Tanya J MajorDepartment of Biochemistry, University of Otago, 710 Cumberland Street, Dunedin 9054, New Zealand.
Ruth K ToplessDepartment of Biochemistry, University of Otago, 710 Cumberland Street, Dunedin 9054, New Zealand.
Nicola DalbethDepartment of Medicine, University of Auckland, Auckland, New Zealand.
Tony R MerrimanDepartment of Biochemistry, University of Otago, 710 Cumberland Street, Dunedin 9054, New Zealand tony.merriman@otago.ac.nz.ORCID http://orcid.org/0000-0003-0844-8726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo systematically test dietary components for association with serum urate levels and to evaluate the relative contributions of estimates of diet pattern and inherited genetic variants to population variance in serum urate levels.

designMeta-analysis of cross sectional data from the United States. DATA SOURCES: Five cohort studies. REVIEW

methods16 760 individuals of European ancestry (8414 men and 8346 women) from the US were included in analyses. Eligible individuals were aged over 18, without kidney disease or gout, and not taking urate lowering or diuretic drugs. All participants had serum urate measurements, dietary survey data, information on potential confounders (sex, age, body mass index, average daily calorie intake, years of education, exercise levels, smoking status, and menopausal status), and genome wide genotypes. The main outcome measures were average serum urate levels and variance in serum urate levels. β values (95% confidence intervals) and Bonferroni corrected P values from multivariable linear regression analyses, along with regression partial R

resultsSeven foods were associated with raised serum urate levels (beer, liquor, wine, potato, poultry, soft drinks, and meat (beef, pork, or lamb)) and eight foods were associated with reduced serum urate levels (eggs, peanuts, cold cereal, skim milk, cheese, brown bread, margarine, and non-citrus fruits) in the male, female, or full cohorts. Three diet scores, constructed on the basis of healthy diet guidelines, were inversely associated with serum urate levels and a fourth, data driven diet pattern positively associated with raised serum urate levels, but each explained ≤0.3% of variance in serum urate. In comparison, 23.9% of variance in serum urate levels was explained by common, genome wide single nucleotide variation.

conclusionIn contrast with genetic contributions, diet explains very little variation in serum urate levels in the general population.

Indexed as

DietGenetic Predisposition to DiseaseCohort StudiesCross-Sectional StudiesGoutHumansUnited StatesUric AcidWhite PeopleUric Acid

Identifiers

PMID30305269
PMCPMC6174725

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Registered trials

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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.