Evidence map›Paper›PMID 42626686›Full record

ArticleVeterinary research forum : an international quarterly journal2026

Contribution of polycystic kidney disease to the development of chronic renal dysfunction in cats.

Amirhossein Jamshidi, Baharak Akhtardanesh, Mehdi Rasekh, Dariush Vosough, Mohammad Javad Behzadi

Abstract read
In one paragraph

Article in Veterinary research forum : an international quarterly journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Amirhossein JamshidiDepartment of Clinical Sciences, Faculty of Veterinary Medicine, University of Zabol, Zabol, Iran.
Baharak AkhtardaneshDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Shahid Bahonar University of Kerman, Kerman, Iran.
Mehdi RasekhDepartment of Clinical Sciences, Faculty of Veterinary Medicine, University of Zabol, Zabol, Iran.
Dariush VosoughDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Shahid Bahonar University of Kerman, Kerman, Iran.
Mohammad Javad BehzadiDepartment of Clinical Sciences, Faculty of Veterinary Medicine, University of Zabol, Zabol, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic kidney disease (PKD) is a hereditary disorder characterized by progressive renal cyst formation, leading to compromised kidney function and an increased risk of chronic kidney disease (CKD). This prospective, 18-month longitudinal study evaluated diagnostic and prognostic markers in 12 PKD-affected cats, utilizing ultrasound imaging alongside biochemical analysis. The study documented a 14.00% increase in cyst volume, a 7.00% enlargement in kidney length, and significant elevations in plasma creatinine, phosphorus, and blood urea nitrogen levels, underscoring their correlation with disease progression. Hematological analysis revealed progressive anemia associated with advanced CKD stages, further outlining the systemic impact of PKD. These findings emphasize the progressive nature of CKD in cats with PKD, despite diligent care provided by pet owners and veterinarians. Also, the importance of routine sonographic evaluation along with hematological and biochemical assessments is highlighted in our study to enhance early detection and improve outcomes in feline PKD. Future longitudinal studies with expanded cohorts are essential to validate these findings and refine diagnostic criteria for PKD-associated CKD.

Indexed as

CatChronic kidney diseasePolycystic kidney diseasePrognosisUltrasound

Identifiers

PMID42626686
PMCPMC13493107

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Registered trials

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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.