Evidence map›Paper›PMID 35184784›Full record

Observational studyParasitology2022

Molecular typing of

Silvia Analía Repetto, Juan Quarroz Braghini, Marikena Guadalupe Risso, Lisana Belén Argüello, Estela Inés Batalla, Daniel Ricardo Stecher, Mariela Fernanda Sierra, Juan Miguel Burgos, Marcelo Víctor Radisic, Stella Maris González Cappa and 1 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Parasitology, 2022. 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
1.6field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Taxonomy ofParasitology · 2026
    Review
  2. AdvancingPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  3. Article
  4. 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

11 authors at 2 institutions in 1 country.

Silvia Analía RepettoUniversidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina.
Juan Quarroz BraghiniUniversidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0003-0870-6131
Marikena Guadalupe RissoUniversidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina.
Lisana Belén ArgüelloUniversidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina.
Estela Inés BatallaUniversidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina.
Daniel Ricardo StecherUniversidad de Buenos Aires, Hospital de Clínicas "José de San Martín", División Infectología, Buenos Aires, Argentina.
Mariela Fernanda SierraUniversidad de Buenos Aires, Hospital de Clínicas "José de San Martín", División Infectología, Buenos Aires, Argentina.
Juan Miguel BurgosInstituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina.
Marcelo Víctor RadisicDivisión de Enfermedades Infecciosas, Instituto de Nefrología/Nephrology, Buenos Aires, Argentina.
Stella Maris González CappaUniversidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina.
Paula RuybalUniversidad de Buenos Aires, Facultad de Medicina, Departamento de Microbiología, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0002-2365-7000
Consejo Nacional de Investigaciones Científicas y Técnicas · ARHospital de Clínicas "José de San Martín" · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analysed Strongyloides stercoralis genetic variability based on a 404 bp region of the cox1 gene from Latin-American samples in a clinical context including epidemiological, diagnosis and follow-up variables. A prospective, descriptive, observational study was conducted to evaluate clinical and parasitological evolution after ivermectin treatment of 41 patients infected with S. stercoralis. Reactivation of the disease was defined both by clinical symptoms appearance and/or direct larvae detection 30 days after treatment or later. We described 10 haplotypes organized in two clusters. Most frequent variants were also described in the Asian continent in human (HP24 and HP93) and canine (HP24) samples. Clinical presentation (intestinal, severe, cutaneous and asymptomatic), immunological status and eosinophil count were not associated with specific haplotypes or clusters. Nevertheless, presence of cluster 1 haplotypes during diagnosis increased the risk of reactivation with an odds ratio (OR) of 7.51 [confidence interval (CI) 95% 1.38–44.29, P = 0.026]. In contrast, reactivation probability was 83 times lower if cluster 2 (I152V mutation) was detected (OR = 0.17, CI 95% 0.02–0.80, P = 0.02). This is the first analysis of S. stercoralis cox1 diversity in the clinical context. Determination of clusters during the diagnosis could facilitate and improve the design of follow-up strategies to prevent severe reactivations of this chronic disease.

Indexed as

Strongyloides stercoralisStrongyloidiasisAnimalsDogsFecesHumansLatin AmericaMolecular TypingProspective StudiesCytochrome c oxidase subunit 1follow-upStrongyloides stercoralisstrongyloidiasis reactivation

Identifiers

PMID35184784
PMCPMC11010477
OpenAlexW3197245564

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.