Evidence map›Paper›PMID 24693449›Full record

ReviewISRN rheumatology2014

Review of hyperuricemia as new marker for metabolic syndrome.

Laura Billiet, Sarah Doaty, James D Katz, Manuel T Velasquez

Open access · diamondAbstract readReview
In one paragraph

Review in ISRN rheumatology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 3 pooled it
9.9field-weighted citation impact, top 1% 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

77 citing papers in PubMed, 3 syntheses or guidelines pooled it, 181 citations in OpenAlex.

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  20. Effects of a Macroporous Resin Extract ofEvidence-based complementary and alternative medicine : eCAM · 2023
    Article

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

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

4 authors at 1 institution in 1 country.

Laura BillietDepartment of Medicine, The George Washington University, 2150 Pennsylvania Avenue, NW, Washington, DC 20037, USA.ORCID 0000-0002-1675-438X
Sarah DoatyDepartment of Medicine, The George Washington University, 2150 Pennsylvania Avenue, NW, Washington, DC 20037, USA.
James D KatzDepartment of Medicine, The George Washington University, 2150 Pennsylvania Avenue, NW, Washington, DC 20037, USA.
Manuel T VelasquezDepartment of Medicine, The George Washington University, 2150 Pennsylvania Avenue, NW, Washington, DC 20037, USA.
George Washington University · US

Funding

Clinical Training in RheumatologyZIEAR041176 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI COLBERT, ROBERT · 2009 to 2025
$29.8M
6 · The paper itself

Abstract

Hyperuricemia has long been established as the major etiologic factor in gout. In recent years, a large body of evidence has accumulated that suggests that hyperuricemia may play a role in the development and pathogenesis of a number of metabolic, hemodynamic, and systemic pathologic diseases, including metabolic syndrome, hypertension, stroke, and atherosclerosis. A number of epidemiologic studies have linked hyperuricemia with each of these disorders. In some studies, therapies that lower uric acid may prevent or improve certain components of the metabolic syndrome. There is an association between uric acid and the development of systemic lupus erythematosus; the connection between other rheumatic diseases such as rheumatoid arthritis and osteoarthritis is less clear. The mechanism for the role of uric acid in disorders other than gout is not well established but recent investigations point towards systemic inflammation induced by urate, as the major pathophysiological event common to systemic diseases, including atherosclerosis.

Identifiers

PMID24693449
PMCPMC3945178
OpenAlexW2086578968

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.