Evidence map›Paper›PMID 35892524›Full record

ReviewAnimals : an open access journal from MDPI2022

Important Mycoses of Wildlife: Emphasis on Etiology, Epidemiology, Diagnosis, and Pathology-A Review: PART 1.

Iniobong Chukwuebuka Ikenna Ugochukwu, Chioma Inyang Aneke, Nuhu Abdulazeez Sani, Jacinta Ngozi Omeke, Madubuike Umunna Anyanwu, Amienwanlen Eugene Odigie, Remigius Ibe Onoja, Ohiemi Benjamin Ocheja, Miracle Oluchukwu Ugochukwu, Iasmina Luca and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Infection by Histoplasma capsulatum and Candida tropicalis in a Coendou longicaudatus boliviensis (neotropical porcupine).Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  7. Article
  8. Article
  9. Candidiasis inAnimals : an open access journal from MDPI · 2024
    Review
  10. Molecular epidemiology ofFrontiers in veterinary science · 2023
    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

11 authors at 5 institutions in 3 countries.

Iniobong Chukwuebuka Ikenna UgochukwuDepartment of Veterinary Pathology and Microbiology, University of Nigeria, Nsukka 410001, Nigeria.ORCID 0000-0001-7410-8311
Chioma Inyang AnekeDepartment of Veterinary Pathology and Microbiology, University of Nigeria, Nsukka 410001, Nigeria.ORCID 0000-0003-0194-1913
Nuhu Abdulazeez SaniDepartment of Veterinary Pathology, University of Abuja, Abuja 900109, Nigeria.ORCID 0000-0002-6351-2535
Jacinta Ngozi OmekeDepartment of Veterinary Pathology and Microbiology, University of Nigeria, Nsukka 410001, Nigeria.ORCID 0000-0002-4034-6132
Madubuike Umunna AnyanwuDepartment of Veterinary Pathology and Microbiology, University of Nigeria, Nsukka 410001, Nigeria.ORCID 0000-0002-2754-103X
Amienwanlen Eugene OdigieDepartment of Veterinary Medicine, University of Bari, 70010 Bari, Italy.
Remigius Ibe OnojaDepartment of Veterinary Pathology and Microbiology, University of Nigeria, Nsukka 410001, Nigeria.
Ohiemi Benjamin OchejaDepartment of Biosciences, Biotechnologies and Biopharmaceuticals, University of Bari, 70010 Bari, Italy.
Miracle Oluchukwu UgochukwuUniversity of Nigeria Medical Centre, Nsukka 410001, Nigeria.
Iasmina LucaDepartment of Pathological Anatomy and Forensic Medicine, Faculty of Veterinary Medicine, Banat's University of Agricultural Sciences and Veterinary Medicine, 300645 Timișoara, Romania.ORCID 0000-0002-1153-6498
Olabisi Aminah MakanjuNational Veterinary Research Institute, Vom 930010, Nigeria.
University of Nigeria · NGUniversity of Bari Aldo Moro · ITNational Veterinary Research Institute · NGUniversity of Abuja · NGUnivesity of Life Science "King Mihai I" from Timisoara · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past few years, there has been a spurred tripling in the figures of fungal diseases leading to one of the most alarming rates of extinction ever reported in wild species. Some of these fungal diseases are capable of virulent infections and are now considered emerging diseases due to the extremely high number of cases diagnosed with fungal infections in the last few decades. Most of these mycotic diseases in wildlife are zoonotic, and with the emergence and re-emergence of viral and bacterial zoonotic diseases originating from wildlife, which are causing devastating effects on the human population, it is important to pay attention to these wildlife-borne mycotic diseases with zoonotic capabilities. Several diagnostic techniques such as fungal isolation, gross pathology, histopathology, histochemistry, cytology, immunohistochemistry, radiography, CT, and molecular methods such as PCR or ELISA have been invaluable in the diagnosis of wildlife mycoses. The most important data used in the diagnosis of these wildlife mycoses with a zoonotic potential have been re-emphasized. This will have implications for forestalling future epidemics of these potential zoonotic mycotic diseases originating from wildlife. In conclusion, this review will highlight the etiology, epidemiology, diagnosis, pathogenesis, pathogenicity, pathology, and hematological/serum biochemical findings of five important mycoses found in wild animals.

Indexed as

diagnosisfungal diseasespathologywildlifezoonosis

Identifiers

PMID35892524
PMCPMC9331704
OpenAlexW4286587643

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.