ArticleOsteoarthritis and cartilage open2023
Evaluation of disease burden, patient journey, unmet diagnosis and treatment needs of patients with HIP and knee osteoarthritis in Turkey: A study through Delphi Methodology.
Article in Osteoarthritis and cartilage open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07657481 (Comparison of the Effects of Two Different Home Exercise Programs on Femoral Cartilage Thickness and Clinical Parameters in Individuals With Knee Osteoarthritis), which is not on this map. Cited by 3 papers.
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.
Comparison of the Effects of Two Different Home Exercise Programs on Femoral Cartilage Thickness and Clinical Parameters in Individuals With Knee Osteoarthritis: A Randomized Controlled Trial
Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Developing a Core Outcome Set for Herpes Zoster-Associated Neuralgia in Clinical Trials of Traditional Chinese Medicine: A Study Protocol.Journal of multidisciplinary healthcare · 2026Article
- 3D-printed hip prostheses with regenerative integration: a state-of-the-art comprehensive review.Frontiers in bioengineering and biotechnology · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 9 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To get information-driven insights from expert physicians regarding multiple aspects of the patient journey in knee and hip OA and establish a consensus for future studies and decision tree models in Turkey. Design: 157 questions were asked in total during this three-round modified Delphi-method panel to 10 physical medicine and rehabilitation specialists (2 have rheumatology and 3 have algology subspeciality), one orthopaedic surgeon and one algology specialist from anaesthesia specialty background. A consensus was achieved when 80% of the panel members agreed with an item. Contradictions between different disciplines were accepted as a non-consensus factor. Results: Panellists agreed that American College of Rheumatology classification criteria is mostly sufficient to provide an OA diagnosis in clinical practice, OA patients with ≥5 Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain or physical function score can be defined as moderate-to-severe OA if they have an additional ≥2 Kellgren-Lawrence (KL) score, a minimum improvement of 30% from baseline in WOMAC pain or function subscales or in PGA score can be accepted as moderate treatment response where ≥50% improvement from baseline in those scores as substantial response. Panellists stated that arthroplasty procedures need to be delayed as long as possible, but this delay should not jeopardize a beneficial and successful operation. Conclusions: These findings show that there is a significant disease burden, unmet treatment needs for patients with moderate-to-severe OA in Turkey from experts' perspective. Therefore, an updated systematic approach and decision tree models are needed to be implemented.
Indexed as
Identifiers
What Socratic 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 Socratic graph.