Evidence map›Paper›PMID 32122226›Full record

ArticleJournal of feline medicine and surgery2020

Development of a checklist for the detection of degenerative joint disease-associated pain in cats.

Masataka Enomoto, B Duncan X Lascelles, Margaret E Gruen

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of feline medicine and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% of its field
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
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  13. 2023 AAFP/IAAHPC feline hospice and palliative care guidelines.Journal of feline medicine and surgery · 2023
    Review
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  17. 2021 AAFP Feline Senior Care Guidelines.Journal of feline medicine and surgery · 2021
    Article
  18. Review
  19. Review
  20. Surgical and Behavioral Relationships With Welfare.Frontiers in veterinary science · 2020
    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 at 1 institution in 1 country.

Masataka EnomotoTranslational Research in Pain (TRiP) Program, Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA.ORCID 0000-0003-2516-635X
B Duncan X LascellesTranslational Research in Pain (TRiP) Program, Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA.ORCID 0000-0002-2950-9009
Margaret E GruenComparative Pain Research and Education Centre, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA.ORCID 0000-0002-6036-8849
North Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to develop an evidence-based, clinically expedient checklist to identify cats likely to have degenerative joint disease (DJD)-associated pain.

methodsData were compiled from previously conducted studies that employed a standardized subjective outcome measure consisting of a series of questions. These studies included a prevalence study (with DJD non-informed owners) and therapeutic trials (with DJD-informed owners). For each cat, and each question, response scores were converted to 'impaired' and 'unimpaired'. Cats were categorized as 'DJD pain' and 'non-DJD' based on orthopedic pain and radiographic DJD scores. These binary data were compared between cat phenotypes (non-DJD and DJD pain) for each question. Sensitivity and specificity of each question were calculated using the binary data; based on this, potential questions for the checklist were selected. Sensitivity and specificity across this group of questions were calculated, and questions sequentially removed to optimize length, sensitivity and specificity. Finally, the proposed checklist was applied to a novel data set to evaluate its ability to identify cats with DJD pain.

resultsIn total, 249 DJD pain cats and 53 non-DJD cats from five studies were included. Nine questions with adequate sensitivity and specificity were initially identified. Following sequential removal of questions, a checklist with six binary questions was proposed. Based on the data from the cohorts of DJD-informed and DJD non-informed owners, the sensitivity and specificity of the proposed checklist were approximately 99% and 100%, and 55% and 97%, respectively. CONCLUSIONS AND RELEVANCE: The proposed checklist represents a data-driven approach to construct a screening checklist for DJD pain in cats. This checklist provides a clinically expedient tool likely to increase veterinarians' ability to screen for DJD pain in cats. The identified behaviors comprising the checklist may further provide a foundation for increasing awareness of DJD pain among cat owners.

Indexed as

ChecklistAnimalsCat DiseasesCatsCross-Sectional StudiesFemaleJoint DiseasesMalePainPain MeasurementSensitivity and Specificitybehavioral changechecklistdegenerative joint diseasemusculoskeletal diseaseOsteoarthritispainscreening

Identifiers

PMID32122226
PMCPMC7736399
OpenAlexW3009549702

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.