Evidence map›Paper›PMID 29904633›Full record

ReviewFrontiers in medicine2018

Physiology of Hyperuricemia and Urate-Lowering Treatments.

Caroline L Benn, Pinky Dua, Rachel Gurrell, Peter Loudon, Andrew Pike, R Ian Storer, Ciara Vangjeli

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 3 pooled it
17.1field-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

121 citing papers in PubMed, 3 syntheses or guidelines pooled it, 313 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
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  6. Trial
  7. Review
  8. Article
  9. Review
  10. Article
  11. Urate as a COAntioxidants (Basel, Switzerland) · 2026
    Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

61 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

7 authors at 2 institutions in 1 country.

Caroline L BennPfizer Ltd., Cambridge, United Kingdom.
Pinky DuaPfizer Ltd., Cambridge, United Kingdom.
Rachel GurrellPfizer Ltd., Cambridge, United Kingdom.
Peter LoudonPfizer Ltd., Cambridge, United Kingdom.
Andrew PikeDMPK, Oncology, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom.
R Ian StorerIMED Biotech Unit, Medicinal Chemistry, Discovery Sciences, AstraZeneca, Cambridge, United Kingdom.
Ciara VangjeliPfizer Ltd., Cambridge, United Kingdom.
Pfizer (United Kingdom) · GBAstraZeneca (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gout is the most common form of inflammatory arthritis and is a multifactorial disease typically characterized by hyperuricemia and monosodium urate crystal deposition predominantly in, but not limited to, the joints and the urinary tract. The prevalence of gout and hyperuricemia has increased in developed countries over the past two decades and research into the area has become progressively more active. We review the current field of knowledge with emphasis on active areas of hyperuricemia research including the underlying physiology, genetics and epidemiology, with a focus on studies which suggest association of hyperuricemia with common comorbidities including cardiovascular disease, renal insufficiency, metabolic syndrome and diabetes. Finally, we discuss current therapies and emerging drug discovery efforts aimed at delivering an optimized clinical treatment strategy.

Indexed as

crystal depositiondiabeteshypertensionkidney diseaseURAT1uric acidxanthine oxidase

Identifiers

PMID29904633
PMCPMC5990632
OpenAlexW2805641932

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.