Evidence map›Paper›PMID 42638830›Full record

ArticleFrontiers in veterinary science2026

Remote active surveillance following tibial plateau leveling osteotomy: a preliminary study of patellar tendinitis in dogs.

Matt Matiasovic, Paula J Hill, Steve R Bright, Anna M Condon, Ben J Keeley, Karol Bayer

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Matt MatiasovicManchester Veterinary Specialists, Worsley, United Kingdom.
Paula J HillManchester Veterinary Specialists, Worsley, United Kingdom.
Steve R BrightManchester Veterinary Specialists, Worsley, United Kingdom.
Anna M CondonManchester Veterinary Specialists, Worsley, United Kingdom.
Ben J KeeleyManchester Veterinary Specialists, Worsley, United Kingdom.
Karol BayerUpskill.vet Veterinary Education, Bratislava, Slovakia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Traditional follow-up methods in small animal orthopedic surgery are primarily passive. These methods have been shown to result in only moderate owner adherence, and their value has been questioned in recent years. In human medicine, active surveillance has been demonstrated to consistently outperform passive methods in detecting adverse events. Our goal was to obtain preliminary data on the utility of active surveillance after tibial plateau leveling osteotomy (TPLO) for detecting patellar tendinitis (PT) associated with lameness and/or pain in dogs. Methods: Two groups of dogs were retrospectively evaluated for the occurrence of PT. Group 1 ( Results: The incidence of PT was 2% (18/910) in Group 1 and 6% (12/195) in Group 2. Owner adherence to follow-up with active surveillance was 85%. Discussion: Preliminary evidence suggests that remote active surveillance after TPLO may enable reliable detection of clinically relevant PT in dogs. Incorporating structured remote follow-up could improve postoperative monitoring while maintaining diagnostic sensitivity. The limitations of this study include the potential incomplete capture of PT cases in Group 1, the absence of data on activity restriction compliance, and the lack of a demographic comparison between the groups. Further prospective studies are needed to validate this novel approach.

Indexed as

active surveillancelamenesspatellar tendinitisTPLOvideo-assessment

Identifiers

PMID42638830
PMCPMC13500274

What OpenQuestion holds

Textmetadata
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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.