Evidence map›Paper›PMID 41362328›Full record

ArticleOsteoarthritis and cartilage open2026

Progression and influencing factors of knee osteoarthritis based on a multi-state Markov model: Data from OAI.

Aerman Nuer, Yasi Yang, Boran Sun, Yunhan Wang, Wenbo Xiao, Lei Wang, Shu Wang, Wenli Lu

Abstract read
In one paragraph

Article in Osteoarthritis and cartilage open, 2026. 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
–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

2 citing papers in PubMed.

  1. Article
  2. H-WaveMedicina (Kaunas, Lithuania) · 2025
    Observational
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.

Aerman NuerDepartment of Epidemiology and Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Yasi YangDepartment of Epidemiology and Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Boran SunDepartment of Epidemiology and Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Yunhan WangSchool of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Wenbo XiaoDepartment of Epidemiology and Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Lei WangInstitute of Biomedical Engineering, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China.
Shu WangTianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China.
Wenli LuDepartment of Epidemiology and Statistics, School of Public Health, Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Knee osteoarthritis (KOA) is a chronic disorder marked by progressive cartilage loss and functional decline. Current classifications miss bidirectional transitions, particularly in early and late stages, hindering early intervention. Methods: Participants aged 45-79 years from the Osteoarthritis Initiative (OAI) were analyzed over eight years, classifying KOA states as normal, early-KOA, radiographic KOA (rKOA), and end-stage KOA (es-KOA) using Kellgren-Lawrence (K-L) grades, symptoms, and patient-reported outcomes. A Multi-state Markov (MSM) model evaluated state transitions and risk factors. Results: The study comprised 2043 individuals (55.0 ​% female, 85.9 ​% White) with a total of 13,997 records of KOA state assessment. Of the individuals currently classified as early-KOA, 34.0 ​% returned to normal state, 60.9 ​% remained in early-KOA, and 5.1 ​% progressed to rKOA or es-KOA at next follow-up. The transition intensity from early-KOA to rKOA (0.05, 95 ​% CI: 0.04-0.06) was 2.6 times greater than that from normal to rKOA (0.02, 95 ​% CI: 0.01-0.02). The longest sojourn time was observed in rKOA, with a mean of 15.17 years. In covariate analysis, progression risk increased with obesity (HR: 2.57, Normal to rKOA), poor contralateral knee condition (HR: 3.68, Normal to rKOA), and depressive symptoms (HR: 2.16, rKOA to es-KOA). Better physical function reduced risk (HR: 0.65, Normal to early-KOA). Conclusion: This study reveals dynamic KOA transitions, with early-KOA and es-KOA showing recovery potential. Identifying risk factors like obesity and contralateral knee condition offers opportunities for targeted interventions to slow progression and improve joint health, emphasizing early management's role in KOA care.

Indexed as

Knee osteoarthritisMulti-state Markov modelRisk factorsStates transition

Identifiers

PMID41362328
PMCPMC12681718

What Socratic 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 Socratic graph.