Survey of Animal Neoplastic Cases Diagnosed in Nigerian Veterinary Teaching Hospitals, 2000–2017
2024
Iniobong Chukwuebuka Ugochukwu | Iasmina Luca | Amienwanlen Eugene Odigie | Emmanuel Okechukwu Njoga | Nuhu Abdulazeez Sani | James Samson Enam | Wafa Rhimi | Sa’idu Tanko Muhammad | Abdussamad Abubakar | Aliyu Mohammed Wakawa | Patricia Otuh | Taiwo Adebiyi | Onyeka Chidiebere Nwufoh | Ikechukwu Udeani | Tosin Oyeleye | Theophilus Aghogho Jarikre | Sheriff Yusuf Idris | Abdulaziz Bada | Zaid Shehu | Ajadi Tola | Chidi Okonkwo | Chioma Frances Egwuogu | Uchechukwu Nnanna Njoku | Ohiemi Benjamin Ocheja | Joel Dzongor | Barka Grema | Najume Dogowar G. Ibrahim | Celestine O. I. Njoku | Anthony Kojo B. Sackey | Benjamin O. Emikpe | Adamu Yunusa | John Ikechukwu Ihedioha | Balarabe Magaji Jahun | Sunday O. Udegbunam | Shodeinde Vincent O. Shoyinka
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 (<i>p</i> < 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 (<i>p</i> < 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 (<i>p</i> > 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.
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