Evidence map›Paper›PMID 37903433›Full record

ArticleThe American journal of tropical medicine and hygiene2023

Estimation of the Prevalence of Noma in Ethiopia, 2007-2019: A Retrospective Study.

Heron Gezahegn Gebretsadik

Open access · greenAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
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

1 author at 1 institution in 1 country.

Heron Gezahegn GebretsadikSchool of Global Health and Bioethics, Euclid University, Banjul, Gambia.
Euclid University · GM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noma is a rapidly advancing and frequently deadly infection affecting the oral and facial regions. The condition causes severe destruction of the soft and osseous tissues of the face. Noma primarily affects impoverished children with weakened immune systems, yet epidemiological data on the disease are lacking. This cross-sectional study aimed to fill this knowledge gap by estimating the prevalence of noma in Ethiopia. A retrospective review of patients' medical records was conducted using data from the Facing Africa database, spanning from 2007 to 2019. The prevalence of noma was calculated for the general population and for children under 10 years old at national and regional levels. The estimation process involved analyzing raw data and referring to an expert consultation report organized by the Oral Health Division of the WHO, which used the Delphi method. Based on the analysis of 235 medical records, the study revealed an estimated prevalence of 16 cases per 100,000 population and 0.47 case per 1,000 children under 10 years old nationally, with approximately 1,446 and 1,237 new cases diagnosed annually, respectively. The Gambela region had the highest prevalence of noma, with 276.2 cases per 100,000 population, whereas the Benshangul Gumuz region had the lowest rate at 6.2 cases per 100,000 population. Similarly, the Gambela and Benshangul Gumuz regions exhibited the highest and lowest prevalences per 1,000 children under 10 years old, estimated at 8.12 and 0.18 cases per 1,000, respectively. The findings underscore the public health impact of noma in Ethiopia and the need for effective prevention and treatment strategies.

Indexed as

NomaChildCross-Sectional StudiesEthiopiaHumansPrevalenceRetrospective Studies

Identifiers

PMID37903433
PMCPMC10793054
OpenAlexW4388034440

What OpenQuestion holds

Textmetadata
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Registered trials

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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.