Evidence map›Paper›PMID 36335408›Full record

ReviewParasites & vectors2022

Laboratory diagnostics for human Leishmania infections: a polymerase chain reaction-focussed review of detection and identification methods.

Ineka Gow, Nicholas C Smith, Damien Stark, John Ellis

Abstract readReview
In one paragraph

Review in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 pooled it
–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

40 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. An Intriguing, Solitary Nodule on the Nose.Indian dermatology online journal · 2026
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  17. Diverse Biological Activity of Pyrimidine Derivatives: A Review.Current drug discovery technologies · 2026
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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

4 authors.

Ineka GowSchool of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia. ineka.c.gow@student.uts.edu.au.
Nicholas C SmithSchool of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia.
Damien StarkDepartment of Microbiology, St Vincent's Hospital Sydney, Darlinghurst, NSW 2010, Australia.
John EllisSchool of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leishmania infections span a range of clinical syndromes and impact humans from many geographic foci, but primarily the world's poorest regions. Transmitted by the bite of a female sand fly, Leishmania infections are increasing with human movement (due to international travel and war) as well as with shifts in vector habitat (due to climate change). Accurate diagnosis of the 20 or so species of Leishmania that infect humans can lead to the successful treatment of infections and, importantly, their prevention through modelling and intervention programs. A multitude of laboratory techniques for the detection of Leishmania have been developed over the past few decades, and although many have drawbacks, several of them show promise, particularly molecular methods like polymerase chain reaction. This review provides an overview of the methods available to diagnostic laboratories, from traditional techniques to the now-preferred molecular techniques, with an emphasis on polymerase chain reaction-based detection and typing methods.

Indexed as

LeishmaniaLeishmaniasisPhlebotomusPsychodidaeAnimalsFemaleHumansPolymerase Chain ReactionDiagnosticsLaboratoryLeishmaniasisPolymerase chain reaction

Identifiers

PMID36335408
PMCPMC9636697

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.