Evidence map›Paper›PMID 36044185›Full record

ArticleJournal of feline medicine and surgery2022

Recording of body weight and body condition score of cats in electronic health records from UK veterinary practices.

Samantha Taylor, Georgina Roberts, Marcus Evans, Alexander J German

Open access · greenAbstract read
In one paragraph

Article in Journal of feline medicine and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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

4 authors at 2 institutions in 1 country.

Samantha TaylorInternational Cat Care, Tisbury, UK.ORCID 0000-0002-8668-0777
Georgina RobertsSchool of Veterinary Science, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Marcus EvansCVS Group, Diss, Norfolk, UK.
Alexander J GermanInstitute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.ORCID 0000-0002-3017-7988
University of Liverpool · GBCanterbury Archaeological Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to determine how frequently body weight, body condition score (BCS) and terms pertaining to weight status are recorded in the electronic health records (EHRs) of veterinary practices in the UK, as well as to examine the variables affecting recording and associated with body weight, where recorded.

methodsData recorded in EHRs were searched in two 3-month periods in 2019 and 2020. For each visit, variables including type and time of consultation, signalment, recording of body weight, recording of BCS, weight (kg), BCS value and whether an overweight or weight-loss term was used in free text were recorded. Linear mixed-effects models were created to examine associations between body weight and variables, while mixed-effects logistic regression was used to determine associations between the same variables and weight or BCS recording.

resultsThe statistical data set comprised 129,076 visits from 129,076 cats at 361 practices. Weight was recorded at most (95.2%) visits, BCS was recorded at only 22.5% of visits, and terms associated with weight loss and overweight status were recorded in 10.0% and 7.2% of free-text records, respectively. Where BCS was recorded, approximately one-third of cats had an overweight score (8.0% of total visits). Using either an overweight term ( CONCLUSIONS AND RELEVANCE: Cats are regularly weighed in UK practice, but BCS is less frequently recorded, and both are less often recorded in non-routine consultations. To improve both the treatment and assessment of health and nutrition in cats, veterinary professionals should record body weight and BCS concurrently at every consultation.

Indexed as

Cat DiseasesOverweightAnimalsBody WeightCatsElectronic Health RecordsUnited KingdomWeight Lossbody condition scorebody weightconsultationsobesityOverweightweight loss

Identifiers

PMID36044185
PMCPMC10812309
OpenAlexW4293802355

What OpenQuestion holds

Textmetadata
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.