Evidence map›Paper›PMID 39215369›Full record

ArticleParasites & vectors2024

Laboratory validation of the automated diagnosis of intestinal parasites via fecal sample processing for the recovery of intestinal parasites through the dissolved air flotation technique.

Felipe Augusto Soares, Celso Tetsuo Nagase Suzuki, Edvaldo Sabadini, Alexandre Xavier Falcão, Amanda de Oliveira Baccin, Leyva Cecília Vieira de Melo, Jancarlo Ferreira Gomes

Abstract readValidation Study
In one paragraph

Article in Parasites & vectors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

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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

4 citing papers in PubMed.

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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

7 authors.

Felipe Augusto SoaresSchool of Medical Sciences, Universidade Estadual de Campinas, Campinas, SP, Brazil. biofefcm@unicamp.br.
Celso Tetsuo Nagase SuzukiImmunoCamp Science and Technology, Vinhedo, SP, Brazil.
Edvaldo SabadiniDepartment of PhysicalChemistry, Institute of Chemistry, Universidade Estadual de Campinas, Campinas, SP, Brazil.
Alexandre Xavier FalcãoLaboratory of Image Data Science (LIDS), Institute of Computing (IC), Universidade Estadual de Campinas, Campinas, SP, Brazil.
Amanda de Oliveira BaccinAdolfo Lutz Institute, São Paulo, Brazil.
Leyva Cecília Vieira de MeloAdolfo Lutz Institute, São Paulo, Brazil.
Jancarlo Ferreira GomesSchool of Medical Sciences, Universidade Estadual de Campinas, Campinas, SP, Brazil.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo Process: 2022/04349-7
6 · The paper itself

Abstract

backgroundTechniques for diagnosing intestinal parasites need technological advancements in the preanalytical (collection/processing) and analytical (detection) stages. The dissolved air flotation (DAF) technique effectively recovers parasites from processed feces for routine diagnosis. Artificial intelligence (AI) is a practical and affordable alternative to modernize the analysis stage of microscopy images and generates high efficiency in the parasitological examination of feces.

methodsThe objective of this study was to standardize a laboratory protocol for stool processing using the DAF technique in conjunction with an automated diagnosis of intestinal parasites (DAPI) system. A total of 400 samples were obtained to perform the tests with the use of DAF to verify the recovery of the parasites as a function of the chemical reagent (polymer and surfactant), the volume of the flotation tube, and standardization of smear assembly on a microscopy slide, with automated analysis by DAPI. The DAF protocol that obtained the most satisfactory results in terms of parasite recovery (P < 0.05) and slide positivity was compared with the Three Fecal Test (TF-Test) protocol with manual (microscopists) and automated (DAPI) evaluation. We compared the sensitivity with the modified TF-Test technical protocol and the diagnostic agreement with the gold standard (Kappa) result.

resultsThere was no significant difference in the parasite recovery between the 10 ml and 50 ml tubes (P > 0.05). The surfactants showed a range of parasite recoveries between 41.9% and 91.2% in the float supernatant. We obtained a maximum positivity of 73% of the assembled slides when we applied DAF processing with 7% CTAB surfactant and 57% positivity with the modified TF-Test technique. Regarding diagnostic performance, the TF-Test-modified and DAF techniques used in fecal processing for subsequent computerized analysis by AI presented sensitivities of 86% and 94%, with kappa agreements of 0.62 and 0.80 (substantial), respectively.

conclusionsThe DAF protocol defined in this study and the DAPI system are innovative processes for parasite recovery and fecal debris elimination that are favorable for effectively detecting pathogenic structures in laboratory diagnosis.

Indexed as

FecesIntestinal Diseases, ParasiticAnimalsAutomation, LaboratoryHumansSensitivity and SpecificitySpecimen HandlingArtificial intelligenceDiagnostic techniques and proceduresDissolved air flotationParasitic intestinal diseases

Identifiers

PMID39215369
PMCPMC11363502

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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.