Evidence map›Paper›PMID 29496597›Full record

ArticleClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2018

Antimicrobial resistance in leprosy: results of the first prospective open survey conducted by a WHO surveillance network for the period 2009-15.

E Cambau, P Saunderson, M Matsuoka, S T Cole, M Kai, P Suffys, P S Rosa, D Williams, U D Gupta, M Lavania and 14 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 5 pooled it
11.4field-weighted citation impact, top 1% 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

75 citing papers in PubMed, 5 syntheses or guidelines pooled it, 165 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Assessment of Antimicrobial Resistance in M. leprae Strains From Kiribati.Tropical medicine & international health : TM & IH · 2026
    Article
  7. Review
  8. Review
  9. Article
  10. Decoding leprosy: immune response, clinical manifestations and emerging diagnostic approaches.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Leprosy research updates: Shaping the future of global health.The Indian journal of medical research · 2025
    Article
  19. Unraveling Drug Resistance inInternational journal of microbiology · 2025
    Review
  20. Review

15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 16 institutions in 10 countries.

E CambauUniversité Paris Diderot, UMR 1137 IAME Inserm, APHP-Lariboisière, APHP-Pitie-Salpêtrière, Centre de Référence des Mycobactéries et de la résistance des mycobactéries aux antituberculeux, Paris, France. Electronic address: emmanuelle.cambau@aphp.fr.
P SaundersonAmerican Leprosy Missions, Greenville, SC, USA.
M MatsuokaLeprosy Research Centre, National Institute of Infectious Diseases, Tokyo, Japan.
S T ColeGlobal Health Institute, Ecole Polytechnique Fédérale de Lausanne, Switzerland; Fondation Raoul Follereau, Paris, France.
M KaiLeprosy Research Centre, National Institute of Infectious Diseases, Tokyo, Japan.
P SuffysInstituto Oswaldo Cruz, Rio de Janeiro, Brazil.
P S RosaInstituto Lauro de Souza Lima, Sao Paulo, Brazil.
D WilliamsNational Hansen's Disease Programs, Baton Rouge, USA.
U D GuptaNational JALMA Institute of Leprosy & Other Mycobacterial Diseases, Agra, India.
M LavaniaStanley Browne Laboratory, TLM Community Hospital, Delhi, India.
N Cardona-CastroInstitute Colombiano de Medicina Tropical, Sabaneta, Antioquia, Colombia.
Y MiyamotoLeprosy Research Centre, National Institute of Infectious Diseases, Tokyo, Japan.
D HaggeMycobacterial Research Laboratories, Anandaban Hospital, Kathmandu, Nepal.
A SrikantamLepra Blue Peter Public Health and Research Centre, Hyderabad, India.
W HongsengInstitute of Dermatology, Chinese Academy of Medical Sciences, National Center for STD and Leprosy Control, China CDC, China.
A IndropoAirlangga University, Surabaya, Indonesia.
V VissaDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, USA.
R C JohnsonFondation Raoul Follereau, Paris, France.
B CauchoixFondation Raoul Follereau, Paris, France.
V K PannikarGlobal Leprosy Programme, WHO Regional Office for South-East Asia, New Delhi, India.
E A W D CooremanGlobal Leprosy Programme, WHO Regional Office for South-East Asia, New Delhi, India.
V R R PemmarajuGlobal Leprosy Programme, WHO Regional Office for South-East Asia, New Delhi, India.
L GilliniGlobal Leprosy Programme, WHO Regional Office for South-East Asia, New Delhi, India.
WHO surveillance network of antimicrobial resistance in leprosy
World Health Organization Regional Office for South-East Asia · INNational Institute of Infectious Diseases · JPAirlangga University · IDAmerican Leprosy Missions · USAnandaban Hospital · NPAssistance Publique – Hôpitaux de Paris · FRCentre d'Immunologie et des Maladies Infectieuses · FRChinese Academy of Medical Sciences & Peking Union Medical College · CNColorado State University · USÉcole Polytechnique Fédérale de Lausanne · CHFundação Oswaldo Cruz · BRInstituto Colombiano de Medicina Tropical · COInstituto Lauro de Souza Lima · BRLepra Society · INNational Hansen's Disease Program · USNational JALMA Institute for Leprosy & Other Mycobacterial Diseases · IN

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectivesAntimicrobial resistance (AMR) is a priority for surveillance in bacterial infections. For leprosy, AMR has not been assessed because Mycobacterium leprae does not grow in vitro. We aim to obtain AMR data using molecular detection of resistance genes and to conduct a prospective open survey of resistance to antileprosy drugs in countries where leprosy is endemic through a WHO surveillance network.

methodsFrom 2009 to 2015, multi-bacillary leprosy cases at sentinel sites of 19 countries were studied for resistance to rifampicin, dapsone and ofloxacin by PCR sequencing of the drug-resistance-determining regions of the genes rpoB, folP1 and gyrA.

resultsAmong 1932 (1143 relapse and 789 new) cases studied, 154 (8.0%) M. leprae strains were found with mutations conferring resistance showing 182 resistance traits (74 for rifampicin, 87 for dapsone and 21 for ofloxacin). Twenty cases showed rifampicin and dapsone resistance, four showed ofloxacin and dapsone resistance, but no cases were resistant to rifampicin and ofloxacin. Rifampicin resistance was observed among relapse (58/1143, 5.1%) and new (16/789, 2.0%) cases in 12 countries. India, Brazil and Colombia reported more than five rifampicin-resistant cases.

conclusionsThis is the first study reporting global data on AMR in leprosy. Rifampicin resistance emerged, stressing the need for expansion of surveillance. This is also a call for vigilance on the global use of antimicrobial agents, because ofloxacin resistance probably developed in relation to the general intake of antibiotics for other infections as it is not part of the multidrug combination used to treat leprosy.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsBiopsy, NeedleBrazilColombiaDapsoneDNA GyraseDrug Resistance, BacterialEndemic DiseasesEpidemiological MonitoringGlobal HealthHumansIndiaLeprosyMicrobial Sensitivity TestsMutationAnti-Bacterial AgentsBacterial ProteinsDapsoneDNA GyraseOfloxacinRifampinAntibioticDapsoneMycobacterium lepraeOfloxacinResistanceRifampicin

Identifiers

PMID29496597
PMCPMC6286419
OpenAlexW2788950400

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.