Evidence map›Paper›PMID 33231639›Full record

Observational studyJAMA network open2020

Estimation of Primary Prevention of Gout in Men Through Modification of Obesity and Other Key Lifestyle Factors.

Natalie McCormick, Sharan K Rai, Na Lu, Chio Yokose, Gary C Curhan, Hyon K Choi

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Natalie McCormickClinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston.
Sharan K RaiArthritis Research Canada, Richmond, British Columbia, Canada.
Na LuArthritis Research Canada, Richmond, British Columbia, Canada.
Chio YokoseClinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston.
Gary C CurhanChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Hyon K ChoiClinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston.
Harvard University · USMassachusetts General Hospital · USResearch Canada · CA

Funding

Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
The Effects of Urate Lowering Therapy on Inflammation, Endothelial function, andP50AR060772 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SINGH, JASVINDER A · 2012 to 2021
$12.8M
Research Training in Rheumatology at Massachusetts General HospitalT32AR007258 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI ANDREW D LUSTER · 1986 to 2026
$6.9M
NOVEL METABOLITE AND MICROBIOTA PATHWAYS FOR HYPERURICEMIA AND GOUTR01AR065944 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI CHOI, HYON K · 2013 to 2025
$4.2M
Sex-related differences in incidence rates of nephrolithiasisK24DK091417 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI CURHAN, GARY C. · 2011 to 2020
$1.5M
CIHRNCI NIH HHS U01 CA167552NIAMS NIH HHS P50 AR060772NIAMS NIH HHS R01 AR065944NIAMS NIH HHS T32 AR007258NIDDK NIH HHS K24 DK091417
6 · The paper itself

Abstract

Importance: The population impact of modifying obesity and other key risk factors for hyperuricemia has been estimated in cross-sectional studies; however, the proportion of incident gout cases (a clinical end point) that could be prevented by modifying such factors has not been evaluated. Objective: To estimate the proportion of incident gout cases that could be avoided through simultaneous modification of obesity and other key risk factors. Design, Setting, and Participants: The Health Professionals Follow-up Study is a US prospective cohort study of 51 529 male health professionals enrolled in 1986 and followed up through questionnaires every 2 years through 2012. Self-reported gout cases were confirmed through June 2015. Clean and complete data used for this analysis were available in June 2016, with statistical analyses performed from July 2016 to July 2019. Exposures: From data collected in the validated questionnaires, men were categorized to low-risk groups according to combinations of the following 4 factors: normal body mass index (BMI [calculated as weight in kilograms divided by height in meters squared]; <25), no alcohol intake, adherence to Dietary Approaches to Stop Hypertension (DASH)-style diet (highest quintile of DASH diet score), and no diuretic use. Main Outcomes and Measures: Population attributable risks (PARs) for incident gout meeting the preliminary American College of Rheumatology survey criteria, overall and stratified by BMI. Results: We analyzed 44 654 men (mean [SD] age, 54.0 [9.8] years) with no history of gout at baseline. During 26 years of follow-up, 1741 (3.9%) developed incident gout. Among all participants, PAR for the 4 risk factors combined (BMI, diet, alcohol use, and diuretic use) was 77% (95% CI, 56%-88%). Among men with normal weight (BMI <25.0) and overweight (BMI 25.0-29.9), we estimated that more than half of incident gout cases (69% [95% CI, 42%-83%] and 59% [95% CI, 30%-75%], respectively) may have been prevented by the combination of DASH-style diet, no alcohol intake, and no diuretic use. However, among men with obesity (BMI ≥30), PAR was substantially lower and not significant (5% [95% CI, 0%-47%]). Conclusions and Relevance: The findings of this cohort study suggest that addressing excess adiposity and other key modifiable factors has the potential to prevent the majority of incident gout cases among men. Men with obesity may not benefit from other modifications unless weight loss is addressed.

Indexed as

AdultAlcohol DrinkingBody Mass IndexCohort StudiesCross-Sectional StudiesDietary Approaches To Stop HypertensionDiureticsFollow-Up StudiesGoutHealth OccupationsHumansHypertensionIncidenceLife StyleMaleMiddle AgedDiuretics

Identifiers

PMID33231639
PMCPMC7686865
OpenAlexW3108832682

What OpenQuestion holds

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LicenceCC BY
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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.