Evidence map›Paper›PMID 34313985›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Giardia duodenalis: Detection by Quantitative Real-Time PCR and Molecular Diversity.

Alejandro Dashti, Pamela C Köster, David Carmena

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. 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
3.2field-weighted citation impact, top 8% 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. Article
  3. Burden and Epidemiology of Human IntestinalTropical medicine and infectious disease · 2022
    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

3 authors at 1 institution in 1 country.

Alejandro DashtiParasitology Reference and Research Laboratory, National Centre for Microbiology, Madrid, Spain.
Pamela C KösterParasitology Reference and Research Laboratory, National Centre for Microbiology, Madrid, Spain.
David CarmenaParasitology Reference and Research Laboratory, National Centre for Microbiology, Madrid, Spain. dacarmena@isciii.es.
Centro Nacional de Microbiologia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional microscopy is being progressively replaced by molecular (PCR and Sanger sequencing) methods for the first-line detection, identification, and genotyping of diarrhea-causing enteric parasites in modern clinical and research laboratories. These technologies allow increased sample testing, improved throughput, and optimized laboratory workflow in a cost-effective manner. Here, we describe the methodological algorithm used in a national reference center for the diagnosis and molecular characterization of Giardia duodenalis, a major contributor to the enormous burden of diarrheal disease globally. Initial detection of the parasite is conducted by a sensitive real-time PCR to amplify the small subunit of the ribosomal RNA of G. duodenalis, whereas a multilocus sequence genotyping scheme based on three constitutive genetic markers (glutamate dehydrogenase, β-giardin, and triose phosphate isomerase) is used for genotyping and sub-genotyping purposes. The advantages and disadvantages of these PCR-based methods are commented.

Indexed as

Giardia lambliaGiardiasisDiarrheaFecesGenotypeGlutamate DehydrogenaseHumansMultilocus Sequence TypingReal-Time Polymerase Chain ReactionRNA, RibosomalGlutamate DehydrogenaseRNA, RibosomalDetectionGenotypingGiardia duodenalisPCRProtocol

Identifiers

PMID34313985
OpenAlexW3186271235

What OpenQuestion holds

Textmetadata
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.