Evidence map›Paper›PMID 35428711›Full record

ArticleThe Journal of rheumatology2022

Gout and Hospital Admission for Ambulatory Care-Sensitive Conditions: Risks and Trajectories.

Ali Kiadaliri, Tuhina Neogi, Martin Englund

Open access · greenAbstract read
In one paragraph

Article in The Journal of rheumatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 2 countries.

Ali KiadaliriA. Kiadaliri, PhD, Clinical Epidemiology Unit, Department of Clinical Sciences Lund, Orthopaedics, and Centre for Economic Demography, Lund University, Lund, Sweden; ali.kiadaliri@med.lu.se.ORCID 0000-0002-4254-9099
Tuhina NeogiT. Neogi, MD, PhD, Section of Rheumatology, Boston University School of Medicine, Boston, Massachusetts, USA.ORCID 0000-0002-9515-1711
Martin EnglundM. Englund, MD, PhD, Clinical Epidemiology Unit, Department of Clinical Sciences Lund, Orthopaedics, Lund University, Lund, Sweden.ORCID 0000-0003-3320-2437
Lund University · SEBoston University · US

Funding

Research and Evaluation Support Core Unit (RESCU Core)P30AR072571 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI TUHINA NEOGI · 2019 to 2026
$6.9M
The Role of Urate in Knee Osteoarthritis-Related Inflammation, Pathology and PainK24AR070892 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI TUHINA NEOGI · 2017 to 2026
$1.1M
NIAMS NIH HHS K24 AR070892NIAMS NIH HHS P30 AR072571
6 · The paper itself

Abstract

objectiveTo investigate the risks and trajectories of hospital admission for ambulatory care-sensitive conditions (ACSCs) in gout.

methodsAmong individuals aged 35 years to 85 years residing in Skåne, Sweden, in 2005, those with no doctor-diagnosed gout during 1998 to 2005 (n = 576,659) were followed from January 1, 2006, until a hospital admission for an ACSC, death, relocation outside Skåne, or December 31, 2016. Treating a new gout diagnosis (International Classification of Diseases, 10th revision, code M10) as a time-varying exposure, we used Cox proportional and additive hazard models to estimate the effects of gout on hospital admissions for ACSCs. We investigated the trajectory of hospital admissions for ACSCs from 3 years before to 3 years after gout diagnosis using generalized estimating equations and group-based trajectory modeling in an age-and sex-matched cohort study.

resultsGout was associated with a 41% increased rate of hospital admission for ACSCs (hazard ratio 1.41, 95% CI 1.35-1.47), corresponding to 121 (95% CI 104-138) more hospital admissions for ACSCs per 10,000 person-years compared with those without gout. Our trajectory analysis showed that higher rates of hospital admission for ACSCs among persons with gout were observed from 3 years before to 3 years after diagnosis, with the highest prevalence rate ratio (2.22, 95% CI 1.92-2.53) at the 3-month period after diagnosis. We identified 3 classes with distinct trajectories of hospital admissions for ACSCs among patients with gout: almost none (88.5%), low-rising (9.7%), and moderate-sharply rising (1.8%). The Charlson Comorbidity Index was the most important predictor of trajectory class membership.

conclusionIncreased risk of hospital admissions for ACSCs in gout highlights the need for better management of the disease through outpatient care, especially among foreign-born, older patients with comorbidities.

Indexed as

Ambulatory CareGoutCohort StudiesHospitalizationHospitalsHumansambulatory caregoutheterogeneityhospitalizationlongitudinal studypopulation registers

Identifiers

PMID35428711
PMCPMC10522403
OpenAlexW4223983437

What OpenQuestion holds

Textmetadata
LicenceTDM
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.