Evidence map›Paper›PMID 27555488›Full record

ArticleJournal of feline medicine and surgery2017

Validation of an electrophoretic method to detect albuminuria in cats.

Enea Ferlizza, Francesco Dondi, Giulia Andreani, Diego Bucci, Joy Archer, Gloria Isani

Open access · greenAbstract readValidation Study
In one paragraph

Article in Journal of feline medicine and surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Supplementation ofAnimals : an open access journal from MDPI · 2022
    Article
  5. Review
  6. Article
  7. Impact of High Temperature on Post-Exercise Albuminuria in Dogs.Animals : an open access journal from MDPI · 2020
    Article
  8. 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

6 authors at 2 institutions in 2 countries.

Enea Ferlizza1 Department of Veterinary Medical Sciences, University of Bologna, Ozzano, Italy.
Francesco Dondi1 Department of Veterinary Medical Sciences, University of Bologna, Ozzano, Italy.
Giulia Andreani1 Department of Veterinary Medical Sciences, University of Bologna, Ozzano, Italy.
Diego Bucci1 Department of Veterinary Medical Sciences, University of Bologna, Ozzano, Italy.
Joy Archer2 Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
Gloria Isani1 Department of Veterinary Medical Sciences, University of Bologna, Ozzano, Italy.
University of Bologna · ITUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives The aims of this study were to validate a semi-automated high-resolution electrophoretic technique to quantify urinary albumin in healthy and diseased cats, and to evaluate its diagnostic performance in cases of proteinuria and renal diseases. Methods Urine samples were collected from 88 cats (healthy; chronic kidney disease [CKD]; lower urinary tract disease [LUTD]; non-urinary tract diseases [OTHER]). Urine samples were routinely analysed and high-resolution electrophoresis (HRE) was performed. Within-assay and between-assay variability, linearity, accuracy, recovery and the lowest detectable and quantifiable bands were calculated. Receiver operating curve (ROC) analysis was also performed. Results All coefficients of variation were <10%, percentage recovery was between 97% and 109% with a high linearity (r = 0.99). HRE allowed the visualisation of a faint band of albumin and a diffused band between alpha and beta zones in healthy cats, while profiles from diseased cats were variable. Albumin (mg/dl) and urine albumin:creatinine ratio (UAC) were significantly ( P <0.05) different between healthy and diseased cats. After ROC analysis, UAC values of 0.035 and 0.074 had a high sensitivity and high specificity, respectively, to classify proteinuria and identify borderline proteinuric cats. Moreover, a UAC of 0.017 had a high sensitivity in distinguishing between healthy and diseased cats. However, UAC was not able to distinguish between renal (CKD) and non-renal diseases (LUTD/OTHER), probably owing to the pathophysiology of CKD in cats, which is characterised by low-grade proteinuria and less glomerular involvement than in dogs. Conclusions and relevance HRE is an accurate and precise method that could be used to measure albuminuria in cats. UAC was useful to correctly classify proteinuria and to discriminate between healthy and diseased cats. HRE might also provide additional information on urine proteins with a profile of all proteins (albumin and globulins) to aid clinicians in the diagnosis of diseases characterised by proteinuria.

Indexed as

AlbuminuriaAnimalsCat DiseasesCatsCreatinineElectrophoresis, Polyacrylamide GelFemaleMaleRenal Insufficiency, ChronicReproducibility of ResultsSensitivity and SpecificityUrinalysisCreatinine

Identifiers

PMID27555488
PMCPMC11104127
OpenAlexW2514364685

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.