Evidence map›Paper›PMID 39919085›Full record

ArticlePloS one2025

Risk factors for loss to follow-up in patients with gout: A Korean prospective cohort study.

Hyunsue Do, Chang-Nam Son, Hyo Jin Choi, Ji Hyoun Kim, Min Jung Kim, Kichul Shin, Sang-Hyon Kim, Byoongyong Choi, You-Jung Ha, Joong Kyong Ahn and 7 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Hyunsue DoDivision of Rheumatology, Department of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, Gangwon-do, Republic of Korea.
Chang-Nam SonDivision of Rheumatology, Department of Internal Medicine, Eulji University School of Medicine, Uijeongbu, Gyeonggi-do, Republic of Korea.
Hyo Jin ChoiDivision of Rheumatology, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.
Ji Hyoun KimDivision of Rheumatology, Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Chungcheongbuk-do, Republic of Korea.
Min Jung KimDivision of Rheumatology, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
Kichul ShinDivision of Rheumatology, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
Sang-Hyon KimDivision of Rheumatology, Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Republic of Korea.
Byoongyong ChoiDivision of Rheumatology, Department of Internal Medicine, Seoul Metropolitan Seoul Medical Center, Seoul, Republic of Korea.
You-Jung HaDivision of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0001-6107-9523
Joong Kyong AhnDivision of Rheumatology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hyun-Ok KimDivision of Rheumatology, Department of Internal Medicine, Gyeongsang National University School of Medicine, Changwon, Gyeongsangnam-do, Republic of Korea.
Sung Won LeeDivision of Rheumatology, Department of Internal Medicine, Soon Chun Hyang University Hospital, Cheonan, Chungcheongnam-do, Republic of Korea.
Chang Hoon LeeDivision of Rheumatology, Department of Internal Medicine, Wonkwang University School of Medicine, Iksan, Jeonbuk-do, Republic of Korea.
Ran SongDivision of Rheumatology, Department of Internal Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
Kyeong Min SonDivision of Rheumatology, Department of Internal Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong-si, Gyeonggi-do, Republic of Korea.
Seung-Geun LeeDivision of Rheumatology, Department of Internal Medicine, Pusan National University School of Medicine, Pusan National University Hospital, Busan, Republic of Korea.
Ki Won MoonDivision of Rheumatology, Department of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, Gangwon-do, Republic of Korea.ORCID https://orcid.org/0000-0002-4182-8328

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesGout, a common form of inflammatory arthritis, is often managed with urate-lowering therapy, but many patients only adhere to treatment during gout attacks, resulting in poor follow-up and suboptimal management. This study aimed to identify characteristics associated with loss to follow-up (LTFU) and develop strategies for better patient management.

methodsData were analyzed from the Urate Lowering TheRApy in gout (ULTRA) registry, a prospective cohort of Korean gout patients recruited since September 2021. Patients aged 18 or older who met the 2015 ACR/EULAR classification criteria were included. Demographic data, clinical characteristics, lifestyle habits, comorbidities, and quality of life assessments using the Korean Gout Impact Scale (K-GIS) and EuroQol 5-Dimension (EQ-5D) were collected at baseline, six months, and annually. LTFU was defined as missing a clinic visit for more than a year. Logistic regression was used to determine factors associated with LTFU.

resultsAmong 269 patients, 125 (46.5%) were classified as LTFU. Patients not lost to follow-up experienced more frequent gout attacks (P = 0.020) and expressed greater concerns about future flares (P = 0.034). In contrast, LTFU patients had higher levels of anxiety (P = 0.049), depressive symptoms (P = 0.009), impaired mobility (P = 0.002), and a higher EQ-5D score (P = 0.002). Logistic regression identified frequent gout attacks, concerns about attacks, anxiety, impaired mobility, and EQ-5D scores as significant predictors of LTFU.

conclusionFewer gout attacks, heightened anxiety and depression, and lower quality of life were key factors associated with LTFU. Providing emotional support and comprehensive education may enhance follow-up and improve gout management.

Indexed as

GoutLost to Follow-UpAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedProspective StudiesQuality of LifeRegistriesRepublic of KoreaRisk Factors

Identifiers

PMID39919085
PMCPMC11805391

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.