Login / Signup

Survey of Animal Neoplastic Cases Diagnosed in Nigerian Veterinary Teaching Hospitals, 2000-2017.

Iniobong Chukwuebuka Ikenna UgochukwuIasmina LucaAmienwanlen Eugene OdigieEmmanuel Okechukwu NjogaNuhu Abdulazeez SaniJames Samson EnamWafa RhimiSa'idu Tanko MuhammadAbdussamad AbubakarAliyu Mohammed WakawaPatricia OtuhTaiwo AdebiyiOnyeka Chidiebele NwufohIkechukwu UdeaniTosin OyeleyeTheophilus Aghogho JarikreSheriff Yusuf IdrisAbdulaziz BadaZaid ShehuAjadi TolaChidi OkonkwoChioma Frances EgwuoguUchechukwu Nnanna NjokuOhiemi Benjamin OchejaJoel DzongorBarka GremaNajume Dogowar G IbrahimCelestine O I NjokuAnthony Kojo B SackeyBenjamin Obukowho EmikpeAdamu YunusaJohn Ikechukwu IhediohaBalarabe Magaji JahunSunday O UdegbunamShodeinde Vincent O Shoyinka
Published in: Veterinary sciences (2024)
Incidence data from 17-year veterinary neoplasm surveillance and registration were reviewed. Most of the neoplastic cases diagnosed in Nigerian veterinary teaching hospitals (VTHs) were in the avian (49%) and canine species (44%). Fewer cases were recorded in the equine (3.2%), bovine (2.4%), ovine (1.5%), caprine (0.3%) and porcine (0.15%) species. Marek's disease was the most prevalently diagnosed neoplastic disease of domestic animals in Nigerian VTHs from 2000-2017. Also, the Nigerian local breed had a higher mean distribution than any other dog breed and this was statistically significant ( p < 0.05). Nearly all of the neoplastic cases diagnosed, were found in females (60.4%) and so the mean distribution of sex was statistically significant ( p < 0.05). The digestive system, with 296 (46.25%) cases, was the anatomic location where the majority of the neoplastic cases were found. However, the mean distribution of different neoplastic anatomic sites was not statistically significant ( p > 0.05). In conclusion, little emphasis is given to the appropriate diagnosis and recording of neoplastic cases that are diagnosed. The study provides information regarding the prevalence and distribution of tumours in different animal species consulted in Nigeria veterinary teaching hospitals. To illustrate all of this, ArcGIS software was used. Veterinary clinicians, pathologists and epidemiologists from Nigeria may benefit from the results of this study by freely accessing some specific data regarding the breed, the age group or the gender of some animal species diagnosed with different tumours.
Keyphrases
  • healthcare
  • public health
  • palliative care
  • mental health
  • machine learning
  • medical students
  • low grade