Evidence map›Paper›PMID 42347239›Full record

ArticlePathogens (Basel, Switzerland)2026

Assessment of Two Commercial Serological Assays for the Diagnosis and Post-Treatment Follow-Up of Strongyloidiasis in a Cohort of Patients with Chagas Disease.

Luis Gil-Gallardo, Marina Simon Páez, Javier Nieto Martínez, Maria Delmans Flores-Chavez, María Asunción Iborra-Bendicho, Manuel Segovia-Hernández

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Luis Gil-GallardoTropical Medicine Unit, Department of Microbiology, Hospital Clínico Universitario Virgen de la Arrixaca, 30120 Murcia, Spain.ORCID 0000-0003-3053-8867
Marina Simon PáezTropical Medicine Unit, Department of Microbiology, Hospital Clínico Universitario Virgen de la Arrixaca, 30120 Murcia, Spain.ORCID 0000-0002-6996-5105
Javier Nieto MartínezReference and Research Laboratory on Parasitology, National Centre for Microbiology, Instituto de Salud Carlos III, 28029 Madrid, Spain.
Maria Delmans Flores-ChavezReference and Research Laboratory on Parasitology, National Centre for Microbiology, Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0003-2597-3100
María Asunción Iborra-BendichoTropical Medicine Unit, Department of Microbiology, Hospital Clínico Universitario Virgen de la Arrixaca, 30120 Murcia, Spain.
Manuel Segovia-HernándezTropical Medicine Unit, Department of Microbiology, Hospital Clínico Universitario Virgen de la Arrixaca, 30120 Murcia, Spain.

Funding

Instituto de Salud Carlos III PI22CIII/00061 (MPY 355/22)
6 · The paper itself

Abstract

Strongyloidiasis is a neglected tropical disease that frequently coexists with Chagas disease (CD) among individuals from Latin America. Serology is increasingly used for the diagnosis and post-treatment follow-up of strongyloidiasis; however, comparative data on commercially available assays remain limited. We conducted a cross-sectional evaluation in a cohort of fifty-five patients with previously treated CD attending a Tropical Medicine Unit in Spain. All patients underwent serological screening for

Indexed as

Chagas DiseaseSerologic TestsStrongyloides stercoralisStrongyloidiasisAdultAgedAnimalsAntibodies, HelminthCross-Sectional StudiesEnzyme-Linked Immunosorbent AssayFemaleFollow-Up StudiesHumansImmunoglobulin GIvermectinMaleAntibodies, HelminthImmunoglobulin GIvermectinELISAsensitivityserological screeningspecificitystrongyloidiasistreatment follow-up

Identifiers

PMID42347239
PMCPMC13304599

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Registered trials

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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.