Evidence map›Paper›PMID 36962767›Full record

ArticlePLOS global public health2022

Real Time PCR-based diagnosis of human visceral leishmaniasis using urine samples.

Samiur Rahim, Md Mohiuddin Sharif, Md Robed Amin, Mohammad Tariqur Rahman, Muhammad Manjurul Karim

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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

5 authors at 3 institutions in 2 countries.

Samiur RahimDepartment of Microbiology, University of Dhaka, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0003-1468-395X
Md Mohiuddin SharifDepartment of Medicine, Dhaka Medical College, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-5580-2823
Md Robed AminDepartment of Medicine, Dhaka Medical College, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-5500-5103
Mohammad Tariqur RahmanFaculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0003-3600-3265
Muhammad Manjurul KarimDepartment of Microbiology, University of Dhaka, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0003-0476-8239
Dhaka Medical College and Hospital · BDUniversity of Dhaka · BDUniversity of Malaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of visceral leishmaniasis (VL) through the detection of its causative agents namely Leishmania donovani and L. infantum is traditionally based on immunochromatographic tests, microscopy of bone marrow, spleen aspirates, liver or lymph node and differential diagnosis. While the first process has low specificity, the later one carries the risk of fatal hemorrhage. Over the last decade, multiple Polymerase Chain Reaction (PCR) based diagnosis has been developed using blood and urine sample with a varying degree of sensitivity and specificity, an issue worth improving for precision diagnosis. Earlier, we reported a PCR-based diagnosis of L. donovani in peripheral blood using a novel set of PCR primers with absolute specificity. Using the same set of primers and PCR conditions, here we describe diagnosis of L. donovani from urine, for a non-invasive, rapid and safe diagnosis. Diagnosis of VL was carried out using urine samples collected from clinically diagnosed VL patients (n = 23) of Bangladesh in Real Time PCR. Test results were validated by comparing blood samples from the same set of patients. Sensitivity and specificity of this diagnosis was analyzed using retrospective bone marrow samples, collected earlier from confirmed VL patients (n = 19). The method showed 100% sensitivity in detecting L. donovani in urine and corresponding blood and retrospective bone marrow samples, as well as 100% specificity in control groups. A Real Time PCR-based molecular detection system using urine sample is hereafter presented what could be a, non-invasive approach for VL detection with precision and perfection.

Identifiers

PMID36962767
PMCPMC10022223
OpenAlexW4313331213

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read137
identifiers read7
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.