Evidence map›Paper›PMID 29716641›Full record

ReviewParasites & vectors2018

Real-time PCR applications for diagnosis of leishmaniasis.

Luca Galluzzi, Marcello Ceccarelli, Aurora Diotallevi, Michele Menotta, Mauro Magnani

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Parasites & vectors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 6 pooled it
16.1field-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

104 citing papers in PubMed, 6 syntheses or guidelines pooled it, 224 citations in OpenAlex.

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  10. Insights into animal reservoir hosts for the circulation ofOne health (Amsterdam, Netherlands) · 2026
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44 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Luca GalluzziDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, via Saffi 2, 61029, Urbino, PU, Italy. luca.galluzzi@uniurb.it.ORCID 0000-0002-1747-526X
Marcello CeccarelliDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, via Saffi 2, 61029, Urbino, PU, Italy.
Aurora DiotalleviDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, via Saffi 2, 61029, Urbino, PU, Italy.
Michele MenottaDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, via Saffi 2, 61029, Urbino, PU, Italy.
Mauro MagnaniDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, via Saffi 2, 61029, Urbino, PU, Italy.
University of Urbino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leishmaniasis is a vector-borne disease caused by many Leishmania species, which can infect both humans and other mammals. Leishmaniasis is a complex disease, with heterogeneous clinical manifestations ranging from asymptomatic infections to lesions at cutaneous sites (cutaneous leishmaniasis), mucosal sites (mucocutaneous leishmaniasis) or in visceral organs (visceral leishmaniasis), depending on the species and host characteristics. Often, symptoms are inconclusive and leishmaniasis can be confused with other co-endemic diseases. Moreover, co-infections (mainly with HIV in humans) can produce atypical clinical presentations. A correct diagnosis is crucial to apply the appropriate treatment and the use of molecular techniques in diagnosis of leishmaniasis has become increasingly relevant due to their remarkable sensitivity, specificity and possible application to a variety of clinical samples. Among them, real-time PCR (qPCR)-based approaches have become increasingly popular in the last years not only for detection and quantification of Leishmania species but also for species identification. However, despite qPCR-based methods having proven to be very effective in the diagnosis of leishmaniasis, a standardized method does not exist. This review summarizes the qPCR-based methods in the diagnosis of leishmaniasis focusing on the recent developments and applications in this field.

Indexed as

AnimalsHumansLeishmaniaLeishmaniasisMolecular Diagnostic TechniquesParasitologyReal-Time Polymerase Chain ReactionHRMLeishmaniaLeishmaniasisMelting curve analysisMolecular diagnosisqPCRReal-time PCR

Identifiers

PMID29716641
PMCPMC5930967
OpenAlexW2804488909

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.