Evidence map›Paper›PMID 32871882›Full record

Observational studyMedicine2020

Allopurinol use and type 2 diabetes incidence among patients with gout: A VA retrospective cohort study.

Anastasia Slobodnick, Michael Toprover, Jeffrey Greenberg, Daria B Crittenden, Virginia C Pike, Yingzhi Qian, Hua Zhong, Michael H Pillinger

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Allopurinol Use and the Risk of Type 2 Diabetes Mellitus: A Meta-Analysis of Cohort Studies.Dose-response : a publication of International Hormesis Society
    Article
  4. 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

8 authors at 2 institutions in 1 country.

Anastasia SlobodnickRheumatology Section, Department of Medicine, VA NY Harbor Health Care System, NY Campus.ORCID 0000-0002-7793-0877
Michael ToproverRheumatology Section, Department of Medicine, VA NY Harbor Health Care System, NY Campus.
Jeffrey GreenbergDivision of Rheumatology, Department of Medicine, NYU School of Medicine/NYU Langone Health.
Daria B CrittendenDivision of Rheumatology, Department of Medicine, NYU School of Medicine/NYU Langone Health.
Virginia C PikeRheumatology Section, Department of Medicine, VA NY Harbor Health Care System, NY Campus.
Yingzhi QianDivision of Biostatistics, Department of Population Health, NYU Langone Health, NY, USA.
Hua ZhongDivision of Biostatistics, Department of Population Health, NYU Langone Health, NY, USA.
Michael H PillingerRheumatology Section, Department of Medicine, VA NY Harbor Health Care System, NY Campus.
NYU Langone Health · USVA NY Harbor Healthcare System · US

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
NCATS NIH HHS UL1 TR001445
6 · The paper itself

Abstract

To assess the impact of allopurinol on diabetes in a retrospective cohort of Veterans' Affairs patients with gout.The New York Harbor VA computerized patient record system was searched to identify patients with an ICD-9 code for gout meeting at least 4 modified 1977 American Rheumatology Association gout diagnostic criteria. Patients were divided into subgroups based on >30 continuous days of allopurinol, versus no allopurinol. New diagnoses of diabetes, defined according to American Diabetes Association diagnostic criteria or clinical documentation explicitly stating a new diagnosis of diabetes, were identified during an observation period from January 1, 2000 through December 31, 2015.Six hundred six gout patients used allopurinol >30 continuous days, and 478 patients never used allopurinol. Over an average 7.9 ± 4.8 years of follow-up, there was no significant difference in diabetes incidence between the allopurinol and non-allopurinol groups (11.7/1000 person-years vs 10.0/1000 person-years, P = .27). A lower diabetes incidence in the longest versus shortest quartiles of allopurinol use (6.3 per 1000 person-years vs 19.4 per 1000 person-years, P<.0001) was attributable to longer duration of medical follow-up.In this study, allopurinol use was not associated with decreased diabetes incidence. Prospective studies may further elucidate the relationship between hyperuricemia, gout, xanthine oxidase activity, and diabetes, and the potential impact of gout treatments on diabetes incidence.

Indexed as

AgedAged, 80 and overAllopurinolColchicineDiabetes Mellitus, Type 2FemaleFollow-Up StudiesGoutGout SuppressantsHumansIncidenceMaleMedication AdherenceMiddle AgedNew YorkRetrospective StudiesAllopurinolColchicineGout SuppressantsUric Acid

Identifiers

PMID32871882
PMCPMC7458166
OpenAlexW3080471626

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.