Evidence map›Paper›PMID 34426953›Full record

ArticleMolecular diagnosis & therapy2021

Diagnostic Accuracy of Two Molecular Tools for Diagnosis of Congenital Chagas Disease.

Margarita María Catalina Bisio, Rocío Rivero, Nicolás Gonzalez, Griselda Ballering, Indira D'Amico, Camila Kessler, Samanta Moroni, Guillermo Moscatelli, Andrés Mariano Ruiz, Jaime Altcheh

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Article in Molecular diagnosis & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Detection ofTropical medicine and infectious disease · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Frontiers in microbiology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Clinical use of molecular methods forFrontiers in parasitology · 2023
    Article
  13. Laboratory diagnosis ofFrontiers in parasitology · 2023
    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

10 authors.

Margarita María Catalina Bisio *Servicio de Parasitología y Enfermedad de Chagas, Hospital de Niños "Dr. Ricardo Gutiérrez", CP 1425 Gallo 1330, Buenos Aires, Argentina. marguib@gmail.com.
Rocío Rivero *Instituto Nacional de Parasitología Dr. Mario Fatala Chaben, Buenos Aires, Argentina.
Nicolás GonzalezServicio de Parasitología y Enfermedad de Chagas, Hospital de Niños "Dr. Ricardo Gutiérrez", CP 1425 Gallo 1330, Buenos Aires, Argentina.
Griselda BalleringServicio de Parasitología y Enfermedad de Chagas, Hospital de Niños "Dr. Ricardo Gutiérrez", CP 1425 Gallo 1330, Buenos Aires, Argentina.
Indira D'AmicoServicio de Parasitología y Enfermedad de Chagas, Hospital de Niños "Dr. Ricardo Gutiérrez", CP 1425 Gallo 1330, Buenos Aires, Argentina.
Camila KesslerInstituto Multidisciplinario de Investigaciones en Patologías Pediátricas, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET-GCBA), Buenos Aires, Argentina.
Samanta MoroniServicio de Parasitología y Enfermedad de Chagas, Hospital de Niños "Dr. Ricardo Gutiérrez", CP 1425 Gallo 1330, Buenos Aires, Argentina.
Guillermo MoscatelliServicio de Parasitología y Enfermedad de Chagas, Hospital de Niños "Dr. Ricardo Gutiérrez", CP 1425 Gallo 1330, Buenos Aires, Argentina.
Andrés Mariano RuizInstituto Nacional de Parasitología Dr. Mario Fatala Chaben, Buenos Aires, Argentina.
Jaime AltchehServicio de Parasitología y Enfermedad de Chagas, Hospital de Niños "Dr. Ricardo Gutiérrez", CP 1425 Gallo 1330, Buenos Aires, Argentina. jaltcheh@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe real prevalence of congenital Chagas disease is undefined because of difficulties in the detection of Trypanosoma cruzi by microscopic examination. The aim of this study was to determine the diagnostic accuracy of two molecular diagnostic tools, qPCR and LAMP, in the diagnosis of congenital Chagas disease in a clinical setting.

methodsTo this end, we conducted a prospective cohort study in a tertiary care center, of infants under 9 months of age, born in Buenos Aires to women with Chagas disease. Blood samples were collected for microscopic examination and molecular diagnosis at baseline. If negative, infants were followed up until 9 months of age to determine a final diagnosis by serology. In-house qPCR and LAMP previously validated were challenged as index tests.

resultsA total of 154 participants were potentially eligible, 120 of whom were enrolled. Finally, 102 (66.2%) of them fulfilled the follow-up. The diagnosis of congenital Chagas disease was confirmed in 13 infants and excluded in 89. Both the sensitivity and specificity of the qPCR were 100.0% (95% confidence interval 75.3-100.0 and 95% confidence interval 95.9-100.0, respectively), whereas the sensitivity and specificity of LAMP were 69.2% (95% confidence interval 38.6-90.9) and 100% (95% confidence interval 95.9-100.0), respectively.

conclusionsThe qPCR agreed with the current diagnostic algorithm, and was a reliable and sensitive tool to detect congenital Chagas disease earlier, providing an appropriate and timely identification of infected infants requiring treatment. LAMP was able to detect congenital Chagas disease in infected infants by naked-eye visualization in accordance with a microscopic examination. The advantages of molecular diagnostic tools should be taken into account by the health system to improve congenital Chagas disease diagnosis.

Indexed as

Chagas DiseaseTrypanosoma cruziFemaleHumansInfantProspective StudiesReal-Time Polymerase Chain ReactionSensitivity and Specificity

Identifiers

PMID34426953
PMCPMC8382099

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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.