Evidence map›Paper›PMID 36532910›Full record

ReviewCureus2022

Osteoarthritis: Can We Do Better?

Dylon P Collins, Kawther N Elsouri, Michelle Demory Beckler

Abstract readReview
In one paragraph

Review in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Quercetin attenuates the symptoms of osteoarthritisMolecular medicine reports · 2025
    Article
  4. ITGB5 as a Potential Diagnostic Biomarker for Osteoarthritis.Journal of musculoskeletal & neuronal interactions · 2025
    Article
  5. 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

3 authors.

Dylon P CollinsOsteopathic Medicine, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA.
Kawther N ElsouriOsteopathic Medicine, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA.
Michelle Demory BecklerMicrobiology and Immunology, Nova Southeastern University Dr. Kiran C. Patel College of Allopathic Medicine, Fort Lauderdale, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is the most common form of arthritis, affecting approximately 32.5 million adults in the United States. OA is characterized as a degenerative joint disease or "wear and tear" arthritis. Symptoms experienced by patients include, but are not limited to, swelling, stiffness, pain or aching, and decreased range of motion. The majority of individuals impacted by OA are over the age of 65. OA has long been thought of as an inevitable part of aging. Patients are typically diagnosed after the onset of symptoms once irreversible damage has occurred, such as the breakdown of bone and cartilage. Along with clinical presentations, medical professionals often relied on radiographic images to confirm the diagnosis of OA. Limited research has looked into how to catch OA early and stage patients in a pre-OA state, possibly preventing irreparable damage that is observable radiographically. This article presents the history, diagnosis, and classes of OA. In addition, we present multiple diagnostic tools currently used and others under investigation, including OA-specific biomarkers and electroarthrography (EAG). These tools show promise as aids in early OA diagnosis and intervention, ultimately slowing down or altogether stopping the progression of OA. In conjunction or individually, these techniques, if further developed, stand out as promising mechanisms that may decrease the current OA burden on the healthcare system.

Indexed as

arthritiscartilage degenerationearly osteoarthritiselectroarthrographyjoint imagingosteoarthritisstreaming potentials

Identifiers

PMID36532910
PMCPMC9750799

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.