Evidence map›Paper›PMID 41183983›Full record

ReviewThe Journal of veterinary medical science2025

A review of the clinical efficacy and adverse effects of disease modifying osteoarthritic drugs (DMOADs) in dogs with special focus on glucosamine and pentosan polysulfate; do they work?

Eugene C Bwalya, Hm Suranji Wijekoon, Masahiro Okumura

Abstract readReview
In one paragraph

Review in The Journal of veterinary medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Eugene C BwalyaDepartment of Clinical Studies, School of Veterinary Medicine, University of Zambia, Great East Road Main Campus, Lusaka, Zambia.
Hm Suranji WijekoonNebraska Translational Research Center, Department of Growth and Development, College of Dentistry, University of Nebraska Medical Center, Omaha, NE, USA.
Masahiro OkumuraLaboratory of Veterinary Surgery, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Hokkaido, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) or degenerative joint disease (DJD) is a degenerative joint disease that progressively causes loss of joint function and is the most common and costly form of arthritis. Non-steroidal anti-inflammatory drugs (NSAIDs) are currently one of therapeutic treatment options for OA. Because NSAIDs do not alter the underlying pathophysiological process on the structural degradation of joint tissue but merely control signs of pain and inflammation, recent developments have allowed the use of treatments termed disease modifying osteoarthritic drugs (DMOADs) aimed at targeting the pathophysiologic processes of OA with the view of preventing, retarding progression of, or reversing morphologic changes associated with OA. Several in vitro and experimental studies have reported potential efficacy of glucosamine (GlcN) and pentosan polysulfate (PPS) as novel therapeutic agents of OA. This review will evaluate the clinical efficacy and safety of DMOADs with particular focus on GlcN and PPS based on the prescribed outcome measures by European Medicines Agency.

Indexed as

Dog DiseasesGlucosamineOsteoarthritisPentosan Sulfuric PolyesterAnimalsAnti-Inflammatory Agents, Non-SteroidalDogsAnti-Inflammatory Agents, Non-SteroidalGlucosaminePentosan Sulfuric Polyesterdisease modifying osteoarthritic drugeffect sizeglucosamineosteoarthritispentosan polysulfate

Identifiers

PMID41183983
PMCPMC12712133

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.