Evidence map›Paper›PMID 31210829›Full record

ReviewOpen access Macedonian journal of medical sciences2019

Hepatitis E Infection in Nigeria: A Systematic Review.

Hilary I Okagbue, Muminu O Adamu, Sheila A Bishop, Pelumi E Oguntunde, Oluwole A Odetunmibi, Abiodun A Opanuga

Open access · diamondAbstract readReview
In one paragraph

Review in Open access Macedonian journal of medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Update on Hepatitis E Virus Infection 2025: Insights From an International Symposium.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Hepatitis E vaccine-Illuminating the barriers to use.PLoS neglected tropical diseases · 2023
    Article
  8. 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

6 authors at 2 institutions in 1 country.

Hilary I OkagbueDepartment of Mathematics, College of Science and Technology, Covenant University, Ota, Nigeria.
Muminu O AdamuDepartment of Mathematics, Faculty of Science, University of Lagos, Akoka, Lagos, Nigeria.
Sheila A BishopDepartment of Mathematics, College of Science and Technology, Covenant University, Ota, Nigeria.
Pelumi E OguntundeDepartment of Mathematics, College of Science and Technology, Covenant University, Ota, Nigeria.
Oluwole A OdetunmibiDepartment of Mathematics, College of Science and Technology, Covenant University, Ota, Nigeria.
Abiodun A OpanugaDepartment of Mathematics, College of Science and Technology, Covenant University, Ota, Nigeria.
Covenant University · NGUniversity of Lagos · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch done globally on hepatitis E virus (HEV) infection is far fewer compared with other types of hepatitis virus infection. Little is known on the prevalence of HEV in Nigeria.

aimThe present study presents the prevalence of HEV infection in Nigeria from a few available research papers on HEV. The detailed statistical analysis was used to analyse the prevalence of HEV in humans and animals. MATERIAL AND

methodsA literature search in Web of Science, Scopus and PubMed databases was done, and a final 7 articles were selected. Minitab 17.0 was used to perform the correlational and binary logistic analyses.

resultsSerum and faecal analysis of blood and stool samples of 1178 humans and 210 pigs (animals) were done, and the presence of anti-HEV IgG or HEV RNA in the study samples were 127 and 138 respectively. Further analysis showed the prevalence of HEV are 10.8% and 65.7% in humans and animals, respectively. Weak positive non-significant association (r = 0.327, p-value = 0.474) was obtained between the target (humans and animal) and the HEV infection (positive) groups. The application of binary logistic regression yielded an equation that can be used to predict the target group from the HEV positive humans or animals. Generally, the logistic model was not statistically significant (p-value = 0.376), and the model was able to explain 9.3% of the deviation or variability of the model. The odds ratio is OR = 1.0344 with 0.9550, 1.204 95% Confidence Interval (CI). Thus, in Nigeria, the odds of prevalence of HEV in animals are 1.0344 higher than humans.

conclusionThe risk factors obtained from the few available articles are consistent with the global epidemiology of HEV infection. Food and animal handlers and those that consume unsafe water are the key people at risk of HEV infection in Nigeria.

Indexed as

Hepatitis BHepatitis ELogistic regressionOdd ratioPrevalenceStatistics

Identifiers

PMID31210829
PMCPMC6560297
OpenAlexW2947575718

What OpenQuestion holds

Textmetadata
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.