Evidence map›Paper›PMID 32687498›Full record

Trial reportPLoS neglected tropical diseases2020

Long-term incidence of relapse and post-kala-azar dermal leishmaniasis after three different visceral leishmaniasis treatment regimens in Bihar, India.

Vishal Goyal, Vidya Nand Rabi Das, Shambhu Nath Singh, Ravi Shankar Singh, Krishna Pandey, Neena Verma, Allen Hightower, Suman Rijal, Pradeep Das, Jorge Alvar and 2 more

Abstract readClinical Trial, Phase IVMulticenter Study
In one paragraph

Trial report in PLoS neglected tropical diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–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

27 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
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  5. Article
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  7. Review
  8. Article
  9. Article
  10. Leishmaniasis.Nature reviews. Disease primers · 2025
    Review
  11. Genome analyses of amphotericin B-susceptible and -resistant strains ofCurrent research in parasitology & vector-borne diseases · 2025
    Article
  12. Post kala-azar dermal leishmaniasis burden at the village level in selected high visceral leishmaniasis endemic upazilas in Bangladesh.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2024
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review
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

12 authors.

Vishal GoyalDrugs for Neglected Diseases initiative (DNDi), New York, United States of America.
Vidya Nand Rabi DasDivision of Clinical Medicine, Rajendra Memorial Research Institute of Medical Sciences (RMRI), Patna, Bihar, India.
Shambhu Nath SinghSadar Hospital Chapra, Saran, Bihar, India.
Ravi Shankar SinghSadar Hospital Chapra, Saran, Bihar, India.
Krishna PandeyDivision of Clinical Medicine, Rajendra Memorial Research Institute of Medical Sciences (RMRI), Patna, Bihar, India.
Neena VermaDivision of Clinical Medicine, Rajendra Memorial Research Institute of Medical Sciences (RMRI), Patna, Bihar, India.
Allen HightowerIndependent consultant, Bangkok, Thailand.
Suman RijalDrugs for Neglected Diseases initiative (DNDi), New Delhi, India.
Pradeep DasDivision of Clinical Medicine, Rajendra Memorial Research Institute of Medical Sciences (RMRI), Patna, Bihar, India.
Jorge AlvarDrugs for Neglected Diseases initiative (DNDi), Geneva, Switzerland.
Caryn BernSchool of Medicine, University of California San Francisco, San Francisco, California, United States of America.
Fabiana AlvesDrugs for Neglected Diseases initiative (DNDi), Geneva, Switzerland.ORCID 0000-0001-6213-5224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew prospective data exist on incidence of post kala-azar dermal leishmaniasis (PKDL) and visceral leishmaniasis (VL) relapse after different treatment regimens. METHODOLOGY/PRINCIPAL

findingsA Phase IV trial included 1761 VL patients treated between 2012-2014 with single dose AmBisome (SDA; N = 891), miltefosine-paromomycin (Milt-PM; n = 512), or AmBisome-miltefosine (AmB-Milt; n = 358). Follow-up for PKDL and VL relapse was scheduled for 6, 12 and 24 months after treatment, lasting until 2017. Patients with lesions consistent with PKDL were tested by rK39 rapid test, and if positive, underwent skin-snip sampling, smear microscopy and PCR. Probable PKDL was defined by consistent lesions and positive rK39; confirmed PKDL required additional positive microscopy or PCR. PKDL and relapse incidence density were calculated by VL treatment and risk factors evaluated in Cox proportional hazards models. Among 1,750 patients who completed treatment, 79 had relapse and 104 PKDL. Relapse incidence density was 1.58, 2.08 and 0.40 per 1000 person-months for SDA, AmB-Milt and Milt-PM, respectively. PKDL incidence density was 1.29, 1.45 and 2.65 per 1000 person-months for SDA, AmB-Milt and Milt-PM. In multivariable models, patients treated with Milt-PM had lower relapse but higher PKDL incidence than those treated with SDA; AmB-Milt rates were not significantly different from those for SDA. Children <12 years were at higher risk for both outcomes; females had a higher risk of PKDL but not relapse. CONCLUSIONS/SIGNIFICANCE: Active surveillance for PKDL and relapse, followed by timely treatment, is essential to sustain the achievements of VL elimination programs in the Indian sub-continent.

Indexed as

AdolescentAdultAgedAged, 80 and overAmphotericin BAntiprotozoal AgentsChildChild, PreschoolCohort StudiesFemaleHumansIncidenceIndiaLeishmaniasis, CutaneousLeishmaniasis, VisceralMaleAmphotericin BAntiprotozoal Agentsliposomal amphotericin B

Identifiers

PMID32687498
PMCPMC7392342

What OpenQuestion holds

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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.