ArticleACR open rheumatology2019
Adults With Incident Accelerated Knee Osteoarthritis Are More Likely to Use Pharmacological Treatment Options and Receive Arthroscopic Knee Surgery: Data From the Osteoarthritis Initiative.
Article in ACR open rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- The role of synovial mesenchymal stem cell-derived exosomes in cartilage repair: a systematic review.Frontiers in pharmacology · 2025Pooled it
- Accelerated knee osteoarthritis: a case description and literature analysis.Quantitative imaging in medicine and surgery · 2025Article
- An interpretable knee replacement risk assessment system for osteoarthritis patients.Osteoarthritis and cartilage open · 2024Article
- Comparing Metabolic Preconditioning and Diabetes As Risk Factors in Knee Arthroplasty Complications.Cureus · 2024Article
- Risk factors and the natural history of accelerated knee osteoarthritis: a narrative review.BMC musculoskeletal disorders · 2020Review
- Composite quantitative knee structure metrics predict the development of accelerated knee osteoarthritis: data from the osteoarthritis initiative.BMC musculoskeletal disorders · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 8 institutions in 1 country.
Funding
Abstract
objectiveTo determine if people with incident accelerated knee osteoarthritis (AKOA) were more likely to receive a pharmacological treatment or arthroscopic knee surgery than those with typical knee osteoarthritis (KOA) or no KOA.
methodsWe conducted a nested cohort study using data from baseline and the first 8 years of the Osteoarthritis Initiative. Eligible participants had no radiographic KOA at baseline (Kellgren-Lawrence [KL] < 2). We classified three groups using KL grades: 1) AKOA: knee progressed to advanced-stage KOA (KL 3/4) in 4 years or less, 2) typical KOA: knee increased in KL grade by 8 years (excluding AKOA), and 3) No KOA: no change in KL grade by 8 years. The outcome was self-reported arthroscopic knee surgery or a pharmacological treatment option: nonsteroidal anti-inflammatory drugs (NSAIDs), hyaluronic acid injections, intra-articular corticosteroid injections, or prescription analgesics. Between-group differences in therapeutic use were evaluated with Chi-square tests.
resultsAdults who developed AKOA (n = 92) were more likely to report arthroscopic knee surgery (AKOA: 32%, KOA [n = 380]: 8%, no KOA [n = 875]: 3%;
conclusionAdults with AKOA are more likely to receive pharmacological treatment or arthroscopic knee surgery than their peers. Adults with AKOA are an important patient population that is understudied in clinical research despite their use of greater health care resources.
Identifiers
What OpenQuestion holds
Registered trials
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.