Evidence map›Paper›PMID 31463388›Full record

ArticleHeliyon2019

Geospatial epidemiology of hepatitis C infection in Egypt 2017 by governorate.

Engy Mohamed El-Ghitany, Azza Galal Farghaly

Registry-linked trialAbstract read
In one paragraph

Article in Heliyon, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04090164 (Association of Hepatitis C Virus Seropositivity With Breast Cancer Prognosis and Treatment Outcome), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT04090164 completednot on this map

Association of Hepatitis C Virus Seropositivity With Breast Cancer Prognosis and Treatment Outcome

TypeobservationalSponsorMansoura UniversityRan2019 to 2020Enrolled650ConditionsBreast Cancer, Hepatitis C
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Pathogens and global health · 2022
    Observational
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

2 authors.

Engy Mohamed El-GhitanyTropical Health Department, High Institute of Public Health, Alexandria University, Egypt.
Azza Galal FarghalyTropical Health Department, High Institute of Public Health, Alexandria University, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGeographic Information Systems (GIS) and spatial epidemiological methods may provide a basis for disease investigation through which hotspots and disease determinants can be identified. Applying these methods for hepatitis C virus (HCV) in Egypt would support a more effective strategy to control its transmission. Therefore, this study used GIS software to draw one of the first HCV maps in Egypt elucidating and analyzing geographical and epidemiological differences in HCV distribution within the country.

methodsA cross-sectional survey of 21 governorates (n = 12169, 8080 rural, 3733 urban and 356 slums areas) was completed. All participants were interviewed regarding potential exposures to HCV. Third generation ELISA was used to test serum for HCV antibody. Quantitative real-time RT-PCR was used to test anti-HCV positive subjects for HCV-RNA.

resultsThe participants ranged in age from 14-90 years. Overall, anti-HCV sero-prevalence was 14.8%. The prevalence of HCV-RNA, was 9.5%. Proportionally, 65.8% of anti-HCV positives were positive for HCV-RNA. The map of Egyptian governorates highlighted the darkest spot of HCV infection in Menoufeya (37.8%) followed by Beni Suef (29.2%) and Minya (28.6%). Anti-HCV prevalence was higher among males and logistic regression models revealed a strong independent association with increasing age, rural residence and parenteral anti-schistosomal therapy.

conclusionsRural residences and HCV hotspots should be prioritized for HCV prevention programs. The unique age distribution first shown in this study shows that the older age groups (≥60 years old) constitutes a considerable reservoir of infection and must not be neglected.

Indexed as

MicrobiologyVirology

Identifiers

PMID31463388
PMCPMC6709406

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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.