Evidence map›Paper›PMID 38300955›Full record

ArticlePLoS neglected tropical diseases2024

Feasibility of post-exposure-prophylaxis with single-dose rifampicin and identification of high prevalent clusters in villages' hyperendemic for leprosy in Senegal.

Gilbert Batista, Pauline Dioussé, Papa Mamadou Diagne, Mahamat Cissé, Ibrahima Tito Tamba, Fatou Diop, Fanta Diop, Lahla Fall, Diama Sakho, Mariama Bammo and 5 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

15 authors at 5 institutions in 3 countries.

Gilbert BatistaAction Damien, Dakar, Sénégal.ORCID 0000-0003-1822-3571
Pauline DiousséUnité de Formation et Recherche en Santé, Université de Thiès, Sénégal.
Papa Mamadou DiagneAssociation Sénégalaise de lutte contre la lèpre et les MTN (ASCL/MTN), Dakar, Sénégal.
Mahamat CisséAssociation allemande de lutte contre la lèpre et la tuberculose-DAHW Sénégal.
Ibrahima Tito TambaAction Damien, Dakar, Sénégal.
Fatou DiopCentre hospitalier régional de Kaolack, Sénégal.
Fanta DiopCentre hospitalier régional de Louga, Sénégal.
Lahla FallCentre hospitalier de l'ordre de Malte-CHOM Dakar, Sénégal.
Diama SakhoCentre hospitalier régional de Ziguinchor, Sénégal.
Mariama BammoCentre hospitalier régional de Thiès, Sénégal.
Ndiaga GuèyeCentre hospitalier régional de Thiès, Sénégal.
Christa KasangDAHW German Leprosy and Tuberculosis Relief Association, Germany.
Nimer Ortuño-GutiérrezDamien Foundation, Brussels, Belgium.
Louis Hyacinthe ZoubiNational Leprosy Control Program, Dakar, Sénégal.
Madoky Magatte DiopUnité de Formation et Recherche en Santé, Université de Thiès, Sénégal.
Université de Thiès · SNCentre Hospitalier National Universitaire de Fann · SNComité National de Lutte contre le SIDA · CMDeutsche Lepra- und Tuberkulosehilfe · DEZiguinchor University · SN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSenegal is a leprosy low-endemic country with nine villages known to be hyperendemic with a leprosy incidence rate above 1,000 per million inhabitants. We aim to implement a door-to-door screening strategy associated with the administration of a single-dose-rifampicin (SDR) as post-exposure prophylaxis (PEP) to household and social contacts in these villages and to identify spatial clustering and assess the risk of leprosy in population according to the physical distance to the nearest index-case.

methodsFrom October/2020 to February/2022 active door-to-door screening for leprosy was conducted in nine villages. Using an open-source application, we recorded screening results, demographic and geographic coordinate's data. Using Poisson model we analysed clustering and estimated risk of contracting leprosy in contacts according to the distance to the nearest new leprosy patient.

resultsIn nine villages, among 9086 contacts listed, we examined 7115. Among 6554 eligible contacts, 97.8% took SDR. We found 39(0.64%) new leprosy cases among 6,124 examined in six villages. Among new cases, 21(53.8%) were children, 10(25.6%) were multibacillary and 05(12.8%) had grade 2 disability. The prevalent risk ratio and 95% confidence intervale(95%CI) adjusted by village were 4.2(95%CI 1.7-10.1), 0.97(95%CI 0.2-4.4), 0.87(95%CI 0.2-25), 0.89(95%CI 0.3-2.6) and 0.70(95%CI 0.2-2.5) for the contacts living in the same household of an index case, 1-25m, 26-50m, 51-75m and 76-100m compared to those living at more than 100m respectively. We identified nine high prevalent clusters including 27/39(69%) of new cases in 490/7,850(6%) inhabitants, with relative risks of 46.6(p-value = 0.01), and 7.3, 42.8, 8.2, 12.5, 11.4, 23.5, 22.3, and 14.6 (non-significant p-values).

conclusionsOur strategy has proved the feasibility of active screening for leprosy in contacts and the introduction of PEP for leprosy under programmatic conditions. Only individuals living in the same household as the leprosy patient had a significant risk of contracting leprosy. We documented nine clusters of leprosy that could benefit from tailored control activities while optimizing resources.

Indexed as

LeprosyRifampinChildFeasibility StudiesHumansPost-Exposure ProphylaxisPrevalenceSenegalRifampin

Identifiers

PMID38300955
PMCPMC10863860
OpenAlexW4391428452

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.