Evidence map›Paper›PMID 36381839›Full record

ArticleCureus2022

The Quality of Online Information for the Treatment of Knee Osteoarthritis: A Google Study.

Breanna Sullivan, Varag Abed, Josh Joiner, Max Benningfield, David Landy, Gregory S Hawk, Caitlin Conley, Cale Jacobs, Austin V Stone

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Artificial Intelligence Can Direct Patients Toward a Complaint-specific Musculoskeletal Provider.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026
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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

9 authors.

Breanna SullivanOrthopedic Surgery, University of Kentucky, Lexington, USA.
Varag AbedOrthopedic Surgery, University of Kentucky, Lexington, USA.
Josh JoinerOrthopedic Surgery, University of Kentucky, Lexington, USA.
Max BenningfieldOrthopedic Surgery, University of Kentucky, Lexington, USA.
David LandyOrthopedic Surgery, University of Kentucky, Lexington, USA.
Gregory S HawkStatistics, University of Kentucky, Lexington, USA.
Caitlin ConleyOrthopedic Surgery, University of Kentucky, Lexington, USA.
Cale JacobsOrthopedic Surgery, University of Kentucky, Lexington, USA.
Austin V StoneOrthopedic Surgery, University of Kentucky, Lexington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Affecting more than 30 million adults annually, osteoarthritis (OA) is the most common joint disorder in the United States. A variety of management options for knee OA exists, including physical therapy, weight loss, intra-articular corticosteroid injections, and total joint arthroplasty. With many treatments available, patients often utilize the internet to educate themselves about their condition and management options. The purpose of this study was to evaluate the quality, transparency, and readability of online information for the treatment of knee OA. Methods The search terms "knee," "arthritis," and "treatment" were entered into an incognito mode Google browser. Websites were classified by type (commercial, academic, nonacademic medical practice, government/patient advocacy, and other) and graded on content quality, transparency, and readability using the following scores, respectively: modified DISCERN, Journal of American Medical Association (JAMA) Benchmark, and Flesch-Kincaid (FK) grade level. Results Of the 95 websites evaluated, commercial (mean, 38.2) and academic (37.3) sites had the highest total DISCERN scores, which were significantly greater than nonacademic medical practice (31.8) and government/patient advocacy sites (33.4) (p≤0.035). Nonacademic medical practice sites had the lowest mean total DISCERN (31.8) and JAMA (1.47) scores and the highest FK grade level readability (9.5). There was a significant positive correlation between mean total DISCERN and JAMA scores (r=0.46, p<0.001). Conclusion The mean overall quality of websites regarding the treatment of OA was good as evidenced by greater modified DISCERN scores. However, website quality ranged from poor to excellent, indicating that some websites are still missing key information patients may find useful when assessing treatment options online.

Indexed as

aginggoogleoaonlineosteoarthritis

Identifiers

PMID36381839
PMCPMC9636897

What OpenQuestion holds

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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 OpenQuestion graph.