ReviewJournal of feline medicine and surgery2022
Fading kitten syndrome: Factors predisposing to 'faders' and treatment options.
Review 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 10 papers.
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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.
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Who cites it
10 citing papers in PubMed.
- Neonatal Gut Microbiota in Puppies and Kittens: From Maternal Transmission to Immune Development.Animals : an open access journal from MDPI · 2026Review
- Feline dystocia and kitten mortality up to 12 weeks in pedigree cats.Journal of feline medicine and surgery · 2024Article
- Neonatal Clinical Assessment of the Puppy and Kitten: How to Identify Newborns at Risk?Animals : an open access journal from MDPI · 2024Review
- Mortality in Stray Kittens under Eight Weeks Old: Focusing on Congenital Malformations.Veterinary sciences · 2024Article
- Thyroid function tests in healthy kittens aged between 2 and 16 weeks.Journal of feline medicine and surgery · 2024Article
- Causes of shelter cats mortality in the Czech Republic.Veterinary and animal science · 2024Article
- Neonatal hypoglycemia in dogs-pathophysiology, risk factors, diagnosis and treatment.Frontiers in veterinary science · 2024Review
- Neonatology: Topics on Puppies and Kittens Neonatal Management to Improve Neonatal Outcome.Animals : an open access journal from MDPI · 2022Review
- Reproductive Management in Catteries: Optimising health and wellbeing through veterinarian-breeder collaboration.Journal of feline medicine and surgery · 2022Review
- Artificial Insemination in Queens in the Clinical Practice Setting: Protocols and challenges.Journal of feline medicine and surgery · 2022Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
practical relevanceFading kitten syndrome is a condition where one or more kittens of a litter are born apparently healthy but gradually become inactive, sick and die; typically faders are considered those that die during the first 2 weeks of life. Fading has many potential aetiologies, including a wide variety of infectious, toxic, traumatic, metabolic and genetic diseases. Regardless of the underlying cause, the approach to a sick neonate is similar, and initiating supportive care is the first priority, followed by a detailed physical examination. Where possible, the cause of disease should be determined, and this may inform adjustments to the treatment protocol. CLINICAL CHALLENGES: Most perinatal and neonatal diseases present similarly and a specific cause cannot usually be determined from clinical signs alone, which can make diagnosis challenging. When examining a kitten, it is important to remember that there are distinct physiological differences between adults and neonates. In addition, some procedures can be more difficult to perform than in adults, such as blood collection, and some diagnostic tests are harder to interpret, such as radiography. When treating kittens, differences compared with adults again need to be considered.
aimThe aim of this review is to provide guidance to veterinarians who are presented with a fading kitten. As well as reviewing the potential causes of fading kitten syndrome, the diagnostic approach and treatment options are discussed. Algorithms summarising possible pathways to neonatal mortality in kittens, and diagnostic and therapeutic options in fading kittens, are also provided. EVIDENCE BASE: Information provided in this review is based on the published feline literature and papers discussing puppies and/or a range of species including cats, as well as the author's own clinical experience.
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Registered trials
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.