Evidence map›Paper›PMID 27646557›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2017

Improvement in the detection of enteric protozoa from clinical stool samples using the automated urine sediment analyzer sediMAX

J Intra, M R Sala, R Falbo, F Cappellini, P Brambilla

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Review
  7. Progress in Automated Urinalysis.Annals of laboratory medicine · 2019
    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 1 institution in 1 country.

J IntraDepartment of Laboratory Medicine, University Milano Bicocca, Desio Hospital, via Mazzini 1, 20833, Desio, MB, Italy. jari.intra@unimi.it.ORCID http://orcid.org/0000-0003-0978-9573
M R SalaDepartment of Laboratory Medicine, University Milano Bicocca, Desio Hospital, via Mazzini 1, 20833, Desio, MB, Italy.
R FalboDepartment of Laboratory Medicine, University Milano Bicocca, Desio Hospital, via Mazzini 1, 20833, Desio, MB, Italy.
F CappelliniDepartment of Laboratory Medicine, University Milano Bicocca, Desio Hospital, via Mazzini 1, 20833, Desio, MB, Italy.
P BrambillaDepartment of Laboratory Medicine, University Milano Bicocca, Desio Hospital, via Mazzini 1, 20833, Desio, MB, Italy.
University of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of intestinal parasites from fecal samples is routinely performed by direct wet mount examination. This method requires skilled personnel, and it is time consuming. The aim of this work is to demonstrate the usefulness of the newer automated urinary sediment analyser sediMAX 2 for a fast detection of intestinal protozoa in stool samples. A total of 700 consecutively preserved samples consisting of 70 positives and 630 negatives were analyzed. SediMAX 2 takes digital images of each sediment sample, and analysis was conducted using a dilution of stool specimens, allowing determination of typical morphology. Compared to manual microscopy, sediMAX 2 showed sensitivity and specificity of 100 % in the detection of intestinal parasites, as also recently demonstrated for sediMAX 1. However, all clinically important human protozoa were detected using only 15 images for each specimen, compared to 30 images required in sediMAX 1 analysis. Moreover, changing manually the focus, it is possible to carry out a discrimination between morphologically identical Entamoeba complex members, including the pathogenic E. histolytica and the non-pathogenic E. dispar, E. moshkovskii and E. Bangladeshi, from the non-pathogenic Entamoeba coli based on the number of nuclei present in the cells. This study presents sediMAX 2 as an automatic aid to traditional microscopy.

Indexed as

Automation, LaboratoryFecesHumansMicrobiological TechniquesOptical ImagingProtozoan InfectionsSensitivity and SpecificitySpecimen Handling

Identifiers

PMID27646557
OpenAlexW2522396912

What OpenQuestion holds

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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.