Evidence map›Paper›PMID 34490511›Full record

ArticleClinical rheumatology2022

The trajectories of depression symptoms and comorbidity in knee osteoarthritis subjects.

Mingyang Li, Yong Nie, Yi Zeng, Yuangang Wu, Yuan Liu, Limin Wu, Bin Shen

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

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  14. Depression in Osteoarthritis: Current Understanding.Neuropsychiatric disease and treatment · 2022
    Review
  15. 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

7 authors at 1 institution in 1 country.

Mingyang LiDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, 37# Guoxue Road, Chengdu, 610041, People's Republic of China.
Yong NieDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, 37# Guoxue Road, Chengdu, 610041, People's Republic of China.
Yi ZengDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, 37# Guoxue Road, Chengdu, 610041, People's Republic of China.
Yuangang WuDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, 37# Guoxue Road, Chengdu, 610041, People's Republic of China.
Yuan LiuDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, 37# Guoxue Road, Chengdu, 610041, People's Republic of China.
Limin WuDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, 37# Guoxue Road, Chengdu, 610041, People's Republic of China.
Bin ShenDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, 37# Guoxue Road, Chengdu, 610041, People's Republic of China. shenbin_1971@163.com.ORCID http://orcid.org/0000-0002-9632-7221
Sichuan University · CN

Funding

National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University Z20192003National Natural Science Foundation of China No. 81974347Science&Technology of Foundation of Sichuan province of China 2021YFH0094
6 · The paper itself

Abstract

backgroundPrevious cross-sectional studies have demonstrated the high prevalence of depression and comorbidity in knee osteoarthritis (KOA), and KOA or its impact on lifestyle was seen as a potential trigger factor of depression and comorbidity. However, the exact onset and progression pattern of depression and comorbidity in KOA was still unknown.

methodsGroup-based trajectory modeling (GBTM) analysis was conducted in the 2833 subjects selected from the osteoarthritis initiative (OAI) database. Eight-year trajectories were determined and described. Baseline characteristics were investigated in multi-variable regression to detect the risk factors of the unfavored trajectory.

resultsStable trajectory (70.4%) and worsening trajectory (29.6%) were identified in comorbidity. The risk factors for the worsening trajectory membership were the obesity (OR = 1.47 CI = [1.20, 1.79], P < 0.001), older age (OR = 1.74, CI = [1.41, 2.16], P < 0.001), and smoke (OR = 1.30, CI = [1.08, 1.57], P < 0.01) at baseline. Stable trajectory (52.0%), slow-worsening trajectory (40.5%), and fast-worsening trajectory (7.5%) were identified in depression symptoms. The risk factors for the fast-worsening trajectory membership were female (OR = 1.51 CI = [1.03, 2.20], P < 0.05), lower income (OR = 1.52, CI = [1.01, 2.27], P < 0.05), and smoke (OR = 1.30, CI = [1.08, 1.57], P < 0.01) at baseline.

conclusionA significant amount of KOA subjects tends to develop depression symptoms and comorbidity. Managing related risk factors, like weight loss or smoking cessation, might have considerable significance in preventing or delaying depression symptoms and comorbidity in KOA. Key Points • The first study investigating the trajectory of comorbidity progression in KOA. • Approximately 7.5% of KOA patients tend to develop depression symptoms quite rapidly, and 30% of KOA patients tend to develop comorbidity • Risk factors of worsening trajectories were identified: obesity, older age, smoking, female, and lower income.

Indexed as

Osteoarthritis, KneeAgedComorbidityDepressionDisease ProgressionFemaleHumansRisk FactorsComorbidityDepressionGBTMOsteoarthritis

Identifiers

PMID34490511
OpenAlexW3197131309

What OpenQuestion holds

Textmetadata
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.