Evidence map›Paper›PMID 34543282›Full record

SynthesisPLoS neglected tropical diseases2021

Measuring endemicity and burden of leprosy across countries and regions: A systematic review and Delphi survey.

Dorcas O Ogunsumi, Vivek Lal, Karl Philipp Puchner, Wim van Brakel, Eva-Maria Schwienhorst-Stich, Christa Kasang, Joseph Chukwu, Saskia Kreibich, Sandra Parisi, Jan Hendrik Richardus and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

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

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

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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

11 authors.

Dorcas O OgunsumiDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.
Vivek LalSasakawa-India Leprosy Foundation, New Delhi, India.
Karl Philipp PuchnerGerman Leprosy and Tuberculosis Relief Association, Würzburg, Germany.ORCID 0000-0003-2267-8114
Wim van BrakelNLR International, Amsterdam, Netherlands.
Eva-Maria Schwienhorst-StichGerman Leprosy and Tuberculosis Relief Association, Würzburg, Germany.
Christa KasangGerman Leprosy and Tuberculosis Relief Association, Würzburg, Germany.ORCID 0000-0003-0241-0321
Joseph ChukwuGerman Leprosy and Tuberculosis Relief Association, Würzburg, Germany.
Saskia KreibichGerman Leprosy and Tuberculosis Relief Association, Würzburg, Germany.
Sandra ParisiGerman Leprosy and Tuberculosis Relief Association, Würzburg, Germany.ORCID 0000-0003-2029-3659
Jan Hendrik RichardusDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0003-0564-6313
David J BlokDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-8919-1063

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeprosy is a chronic infectious disease caused by Mycobacterium leprae, the annual new case detection in 2019 was 202,189 globally. Measuring endemicity levels and burden in leprosy lacks a uniform approach. As a result, the assessment of leprosy endemicity or burden are not comparable over time and across countries and regions. This can make program planning and evaluation difficult. This study aims to identify relevant metrics and methods for measuring and classifying leprosy endemicity and burden at (sub)national level.

methodsWe used a mixed-method approach combining findings from a systematic literature review and a Delphi survey. The literature search was conducted in seven databases, searching for endemicity, burden and leprosy. We reviewed the available evidence on the usage of indicators, classification levels, and scoring methods to measure and classify endemicity and burden. A two round Delphi survey was conducted to ask experts to rank and weigh indicators, classification levels, and scoring methods.

resultsThe literature review showed variation of indicators, levels, and cut-off values to measure leprosy endemicity and/or burden. The most used indicators for endemicity include new case detection rate (NCDR), new cases among children and new cases with grade 2 disability. For burden these include NCDR, MB cases, and prevalence. The classification levels 'high' and 'low' were most important. It was considered most relevant to use separate scoring methods for endemicity and burden. The scores would be derived by use of multiple indicators.

conclusionThere is great variation in the existing method for measuring endemicity and burden across countries and regions. Our findings contribute to establishing a standardized uniform approach to measure and classify leprosy endemicity and burden at (sub)national level, which would allow effective communication and planning of intervention strategies.

Indexed as

Delphi TechniqueEndemic DiseasesGlobal HealthCost of IllnessHumansLeprosy

Identifiers

PMID34543282
PMCPMC8483296

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.