Evidence map›Paper›PMID 37815022›Full record

ArticleJournal of veterinary internal medicine

Urinary cystatin B differentiates progressive versus stable IRIS Stage 1 chronic kidney disease in dogs.

Gilad Segev, Shelly Vaden, Sheri Ross, Cedric Dufayet, Leah A Cohn, Giosi Farace, Donald Szlosek, Zenhwa Ouyang, Sarah Peterson, Melissa Beall and 3 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of veterinary internal medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Article
  4. Mesenchymal Stem Cells in Veterinary Medicine-Still Untapped Potential.Animals : an open access journal from MDPI · 2025
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  6. Renal Biomarkers in Companion Animals-A Review.Animals : an open access journal from MDPI · 2025
    Review
  7. Article
  8. Article
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  11. Article
  12. 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

13 authors at 8 institutions in 3 countries.

Gilad SegevHebrew University, Jerusalem, Israel.ORCID https://orcid.org/0000-0003-4714-3159
Shelly VadenNorth Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0003-4402-7830
Sheri RossUniversity of Prince Edward Island, Charlottetown, Prince Edward Island, Canada.
Cedric DufayetUniversity of California Veterinary Medical Center-San Diego, San Diego, California, USA.
Leah A CohnUniversity of Missouri Veterinary Health Center, Columbia, Missouri, USA.
Giosi FaraceIDEXX Laboratories, Inc., Westbrook, Maine, USA.ORCID https://orcid.org/0000-0001-7728-1195
Donald SzlosekIDEXX Laboratories, Inc., Westbrook, Maine, USA.
Zenhwa OuyangIDEXX Laboratories, Inc., Westbrook, Maine, USA.
Sarah PetersonIDEXX Laboratories, Inc., Westbrook, Maine, USA.ORCID https://orcid.org/0000-0002-5461-0950
Melissa BeallIDEXX Laboratories, Inc., Westbrook, Maine, USA.
Murthy YerramilliIDEXX Laboratories, Inc., Westbrook, Maine, USA.
David PolzinUniversity of Minnesota, Minneapolis, Minnesota, USA.
Larry D CowgillUniversity of California-Davis, Davis, California, USA.ORCID https://orcid.org/0009-0009-4780-2266
IDEXX Laboratories (United States) · USHebrew University of Jerusalem · ILNorth Carolina State University · USUniversity of California, Davis · USUniversity of California San Diego Medical Center · USUniversity of Minnesota · USUniversity of Missouri Health System · USUniversity of Prince Edward Island · CA

Funding

IDEXX Laboratories, Inc.
6 · The paper itself

Abstract

backgroundEarly identification of dogs with progressive vs stable chronic kidney disease (CKD) might afford opportunity for interventions that would slow progression. However, currently no surrogate biomarker reliably predicts CKD progression. HYPOTHESIS/

objectivesUrinary cystatin B (uCysB), a novel kidney injury biomarker, predicts progressive disease in International Renal Interest Society (IRIS) CKD Stage 1. ANIMALS: Seventy-two dogs, including 20 dogs from 4 university centers with IRIS CKD Stage 1, with IDEXX symmetric dimethylarginine (SDMA) concentration up to 17 μg/dL and no systemic comorbidities, and 52 clinically healthy staff-owned dogs from a fifth university center.

methodsA multicenter prospective longitudinal study was conducted between 2016 and 2021 to assess uCysB concentration in IRIS CKD Stage 1 and control dogs. Dogs were followed to a maximum of 3 years (control) or 25 months (CKD). Stage 1 IRIS CKD was classified as stable or progressive using the slope of 1/SDMA, calculated from 3 timepoints during the initial 90-day period. Dogs with slope above or below -0.0007 week × dL/μg were classified as stable or progressive, respectively. Mixed effects modeling was used to assess the association between uCysB and progression rate.

resultsEstimates of first visit uCysB results predictive of active ongoing kidney injury based on the mixed effects models were 17 ng/mL for control, 24 ng/mL for stable CKD, and 212 ng/mL for progressive CKD (P < .001). CONCLUSIONS AND CLINICAL IMPORTANCE: Urinary cystatin B differentiated stable vs progressive IRIS CKD Stage 1. Identification of dogs with progressive CKD may provide an opportunity for clinicians to intervene early and slow progression rate.

Indexed as

Cystatin BDog DiseasesRenal Insufficiency, ChronicAnimalsBiomarkersCreatinineDogsHumansLongitudinal StudiesProspective StudiesBiomarkersCreatinineCystatin Bbiomarkercreatininedisease monitoringinverse slopesymmetric dimethylarginine

Identifiers

PMID37815022
PMCPMC10658556
OpenAlexW4387473187

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.