Evidence map›Paper›PMID 15298709›Full record

ArticleFilaria journal2004

Mapping the distribution of Loa loa in Cameroon in support of the African Programme for Onchocerciasis Control.

Madeleine C Thomson, Valérie Obsomer, Joseph Kamgno, Jacques Gardon, Samuel Wanji, Innocent Takougang, Peter Enyong, Jan H Remme, David H Molyneux, Michel Boussinesq

Open access · hybridAbstract read
In one paragraph

Article in Filaria journal, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Article
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  4. The Human FilariaResearch and reports in tropical medicine · 2022
    Review
  5. Projected Number of People With Onchocerciasis-Loiasis Coinfection in Africa, 1995 to 2025.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Anterior Chamber Live Loa loa: Case Report.Clinical medicine insights. Case reports · 2016
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

10 authors at 5 institutions in 3 countries.

Madeleine C ThomsonLiverpool School of Tropical Medicine, Liverpool, UK, L3 5QA. Mthomson@iri.columbia.edu
Valérie Obsomer
Joseph Kamgno
Jacques Gardon
Samuel Wanji
Innocent Takougang
Peter Enyong
Jan H Remme
David H Molyneux
Michel Boussinesq
Centre Pasteur du Cameroun · CMLiverpool School of Tropical Medicine · GBSpecial Programme for Research and Training in Tropical DiseasesUniversité de Yaoundé I · CMUniversity of Buea · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLoa loa has recently emerged as a filarial worm of significant public health importance as a consequence of its impact on the African Programme for Onchocerciasis Control (APOC). Severe, sometimes fatal, encephalopathic reactions to ivermectin (the drug of choice for onchocerciasis control) have occurred in some individuals with high Loa loa microfilarial counts. Since high density of Loa loa microfilariae is known to be associated with high prevalence rates, a distribution map of the latter may determine areas where severe reactions might occur. The aim of the study was to identify variables which were significantly associated with the presence of a Loa microfilaraemia in the subjects examined, and to develop a spatial model predicting the prevalence of the Loa microfilaraemia.

methodsEpidemiological data were collected from 14,225 individuals living in 94 villages in Cameroon, and analysed in conjunction with environmental data. A series of logistic regression models (multivariate analysis) was developed to describe variation in the prevalence of Loa loa microfilaraemia using individual level co-variates (age, sex, microl of blood taken for examination) and village level environmental co-variates (including altitude and satellite-derived vegetation indices).

resultsA spatial model of Loa loa prevalence was created within a geographical information system. The model was then validated using an independent data set on Loa loa distribution. When considering both data sets as a whole, and a prevalence threshold of 20%, the sensitivity and the specificity of the model were 81.7 and 69.4%, respectively.

conclusionsThe model developed has proven very useful in defining the areas at risk of post-ivermectin Loa-related severe adverse events. It is now routinely used by APOC when projects of community-directed treatment with ivermectin are examined.

Identifiers

PMID15298709
PMCPMC514498
OpenAlexW2167216497

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.