Evidence map›Paper›PMID 38053215›Full record

ArticleInfectious diseases of poverty2023

Evaluating active leprosy case identification methods in six districts of Nepal.

Ram Kumar Mahato, Uttam Ghimire, Madhav Lamsal, Bijay Bajracharya, Mukesh Poudel, Prashnna Napit, Krishna Lama, Gokarna Dahal, David T S Hayman, Ajit Kumar Karna and 3 more

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

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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

13 authors at 4 institutions in 3 countries.

Ram Kumar MahatoEpidemiology and Disease Control Division, Department of Health Services, Ministry of Health and Population, Kathmandu, Nepal. mahatoram811@gmail.com.ORCID http://orcid.org/0000-0001-5006-6516
Uttam GhimireEpidemiology and Disease Control Division, Department of Health Services, Ministry of Health and Population, Kathmandu, Nepal.
Madhav LamsalEpidemiology and Disease Control Division, Department of Health Services, Ministry of Health and Population, Kathmandu, Nepal.
Bijay BajracharyaEpidemiology and Disease Control Division-Malaria Program Management Unit- SCI-GF, Kathmandu, Nepal.
Mukesh PoudelEpidemiology and Disease Control Division, Department of Health Services, Ministry of Health and Population, Kathmandu, Nepal.
Prashnna NapitLeprosy Control & Disability Management Section, EPidemiology and Disease Control Division, DoHS, Kathmandu, Nepal.
Krishna LamaLalgadh Leprosy Hospital & Service Center, Nepal Leprosy Trust, Lalgadh, Nepal.
Gokarna DahalEpidemiology and Disease Control Division, Department of Health Services, Ministry of Health and Population, Kathmandu, Nepal.
David T S HaymanMolecular Epidemiology and Public Health Laboratory, Infectious Disease Research Centre, Hopkirk Research Institute, Massey University, Palmerston North, New Zealand.
Ajit Kumar KarnaCenter for Health and Disease Studies-Nepal, Kathmandu, Nepal.
Basu Dev PandeyDEJIMA Infectious Disease Research Alliance, Nagasaki University, 1-12-4, Sakamoto, Nagasaki, Japan.
Chuman Lal DasEpidemiology and Disease Control Division, Department of Health Services, Ministry of Health and Population, Kathmandu, Nepal.
Krishna Prasad PaudelEpidemiology and Disease Control Division, Department of Health Services, Ministry of Health and Population, Kathmandu, Nepal. kpkalyan@gmail.com.
Ministry of Health and Population · NPCenter for Molecular Dynamics - Nepal · NPMassey University · NZNagasaki University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNepal has achieved and sustained the elimination of leprosy as a public health problem since 2009, but 17 districts and 3 provinces with 41% (10,907,128) of Nepal's population have yet to eliminate the disease. Pediatric cases and grade-2 disabilities (G2D) indicate recent transmission and late diagnosis, respectively, which necessitate active and early case detection. This operational research was performed to identify approaches best suited for early case detection, determine community-based leprosy epidemiology, and identify hidden leprosy cases early and respond with prompt treatment.

methodsActive case detection was undertaken in two Nepali provinces with the greatest burden of leprosy, Madhesh Province (40% national cases) and Lumbini Province (18%) and at-risk prison populations in Madhesh, Lumbini and Bagmati provinces. Case detection was performed by (1) house-to-house visits among vulnerable populations (n = 26,469); (2) contact examination and tracing (n = 7608); in Madhesh and Lumbini Provinces and, (3) screening prison populations (n = 4428) in Madhesh, Lumbini and Bagmati Provinces of Nepal. Per case direct medical and non-medical costs for each approach were calculated.

resultsNew case detection rates were highest for contact tracing (250), followed by house-to-house visits (102) and prison screening (45) per 100,000 population screened. However, the cost per case identified was cheapest for house-to-house visits [Nepalese rupee (NPR) 76,500/case], followed by contact tracing (NPR 90,286/case) and prison screening (NPR 298,300/case). House-to-house and contact tracing case paucibacillary/multibacillary (PB:MB) ratios were 59:41 and 68:32; female/male ratios 63:37 and 57:43; pediatric cases 11% in both approaches; and grade-2 disabilities (G2D) 11% and 5%, respectively. Developing leprosy was not significantly different among household and neighbor contacts [odds ratios (OR) = 1.4, 95% confidence interval (CI): 0.24-5.85] and for contacts of MB versus PB cases (OR = 0.7, 95% CI 0.26-2.0). Attack rates were not significantly different among household contacts of MB cases (0.32%, 95% CI 0.07-0.94%) and PB cases (0.13%, 95% CI 0.03-0.73) (χ

conclusionsThe most effective case identification approach here is contact tracing, followed by house-to-house visits in vulnerable populations and screening in prisons, although house-to-house visits are cheaper. The findings suggest that hidden cases, recent transmission, and late diagnosis in the community exist and highlight the importance of early case detection.

Indexed as

LeprosyChildContact TracingEarly DiagnosisFemaleHumansMaleNepalRisk FactorsAttack rateCommunity-based epidemiologyCost per case identifiedEarly case detectionHidden caseLeprosyNepalNew case detection rate

Identifiers

PMID38053215
PMCPMC10698884
OpenAlexW4389356430

What OpenQuestion holds

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LicenceCC BY
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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.