ArticleVeterinary and comparative oncology2026
Development and Testing of an Owner-Reported Outcome Measure of Clinical Signs and Quality of Life in Dogs Treated With Chemotherapy.
Article in Veterinary and comparative oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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Who cites it
1 citing paper in PubMed.
- Development and Testing of an Owner-Reported Outcome Measure of Clinical Signs and Quality of Life in Dogs Treated With Chemotherapy.Veterinary and comparative oncology · 2026Article
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Authors and funding
6 authors.
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Abstract
Cancer is a leading cause of mortality in older dogs. Despite the prevalence of chemotherapy in canine oncology, a good understanding of owners' observations of side effects and clinical signs in real time is still lacking. Owners' perceptions and reporting of clinical signs play an important role in monitoring a dog's condition during treatment and the use of digital owner-reported outcome measures could prove efficient in tracking chemotherapy side effects in the home environment. This could improve care and draws inspiration from the human use of patient-reported outcome measures in oncology. We aimed to develop and test a prototype digital measure for monitoring clinical signs and health-related quality of life in dogs undergoing chemotherapy, designed to facilitate owner participation in monitoring and support veterinary care. A rapid literature review was conducted to identify existing measures and their methodological limitations. Items were generated based on the Veterinary Comparative Oncology Group-Common Terminology Criteria for Adverse Events, existing client-reported outcome measures, and expert veterinary opinion. Proof-of-Concept testing was performed with 29 dog owners with pets undergoing chemotherapy. Participants completed daily assessments of their dog's clinical signs and weekly quality of life surveys over a 21-day period. A sub-sample participated in cognitive interviews to assess content validity and acceptability. Descriptive statistics were used to assess clinical signs and quality of life scores. Internal consistency and item discrimination were evaluated, and qualitative data were analyzed thematically. High adherence was reported, with a median of 21 daily and 3 weekly assessments completed. Participants found the assessments acceptable and beneficial. Fatigue, polydipsia, and anorexia were the most frequently reported clinical signs. Dogs experienced a median of 3 different clinical signs. The quality-of-life scale showed good internal consistency (Cronbach's α = 0.84). Participants appreciated the daily assessments, found them easy to complete, and believed the measure could help improve monitoring and decision-making during chemotherapy. The prototype tool, the Canine Cancer Outcome Measure (CAN-COM), demonstrated feasibility and acceptability for use by owners in the home environment for dogs undergoing chemotherapy. With further refinement and validation, such a tool could improve the monitoring of adverse events and support decision-making in veterinary oncology, enhancing the welfare of canine cancer patients.
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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 OpenQuestion graph.