Evidence map›Paper›PMID 24152601›Full record

ArticleBMC infectious diseases2013

Development of a quantitative rapid diagnostic test for multibacillary leprosy using smart phone technology.

Ludimila Paula Vaz Cardoso, Ronaldo Ferreira Dias, Aline Araújo Freitas, Emerith Mayra Hungria, Regiane Morillas Oliveira, Marco Collovati, Steven G Reed, Malcolm S Duthie, Mariane Martins Araújo Stefani

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
  2. Challenges and advances in serological and molecular tests to aid leprosy diagnosis.Experimental biology and medicine (Maywood, N.J.) · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. ELISA Test Based on the Phenolic Glycolipid-I (PGL-I) ofPathogens (Basel, Switzerland) · 2022
    Article
  7. Article
  8. Leprosy surveillance study in a highly endemic Brazilian area using leprosy specific serologic tests and IFNγ whole blood assay.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Accuracy of Enzyme-Linked Immunosorbent Assays (ELISAs) in Detecting Antibodies againstThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2018
    Review
  17. Article
  18. Frontiers in immunology · 2018
    Article
  19. Article
  20. Observational
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

9 authors at 3 institutions in 2 countries.

Ludimila Paula Vaz Cardoso
Ronaldo Ferreira Dias
Aline Araújo Freitas
Emerith Mayra Hungria
Regiane Morillas Oliveira
Marco Collovati
Steven G Reed
Malcolm S Duthie
Mariane Martins Araújo StefaniTropical Pathology and Public Health Institute, Federal University of Goiás, 235th Street, Setor Universitário, 74605-050 Goiânia-Goiás, Brazil. mariane.stefani@pq.cnpq.br.
Universidade Federal de Goiás · BRInfectious Disease Research Institute · USSeattle University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite efforts to eliminate leprosy as public health problem, delayed diagnosis and disabilities still occur in many countries. Leprosy diagnosis remains based on clinical manifestations and the number of clinicians with expertise in leprosy diagnosis is in decline. We have developed a new immunochromatographic test with the goal of producing a simple and rapid system that can be used, with a minimal amount of training, to provide an objective and consistent diagnosis of multibacillary leprosy.

methodsThe test immobilizes two antigens that have been recognized as excellent candidates for serologic diagnosis (the PGL-I mimetic, ND-O, and LID-1), on a nitrocellulose membrane. This allows the detection of specific IgM and IgG antibodies within 20 minutes of the addition of patient sera. Furthermore, we coupled the NDO-LID® rapid tests with a new cell phone-based test reader platform (Smart Reader®) to provide objective interpretation that was both quantifiable and consistent.

resultsDirect comparison of serologic responses indicated that the rapid test detected a greater proportion of leprosy patients than a lab-based PGL-I ELISA. While positive responses were detected by PGL-I ELISA in 83.3% of multibacillary patients and 15.4% of paucibacillary patients, these numbers were increased to 87% and 21.2%, respectively, when a combination of the NDO-LID® test and Smart Reader® was used. Among multibacillary leprosy the sensitivity of NDO-LID® test assessed by Smart Reader® was 87% (95% CI, 79.2-92.7%) and the specificity was 96.1% (95% CI, 91.7- 98.6%). The positive predictive value and the negative predictive value of NDO-LID® tests were 94% (95% CI, 87.4-97.8%) and 91.4% (95% CI, 85.9-95.2%), respectively.

conclusionThe widespread provision of rapid diagnostic tests to facilitate the diagnosis or prognosis of multibacillary leprosy could impact on leprosy control programs by aiding early detection, directing appropriate treatment and potentially interrupting Mycobacterium leprae transmission.

Indexed as

Cell PhoneAdolescentAdultAgedAged, 80 and overAntibodies, BacterialAntigens, BacterialBacteriological TechniquesChromatography, AffinityFemaleHumansLeprosy, MultibacillaryMaleMiddle AgedMycobacterium lepraeSensitivity and SpecificityAntibodies, BacterialAntigens, Bacterial

Identifiers

PMID24152601
PMCPMC3870957
OpenAlexW2129183512

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.