Evidence map›Paper›PMID 41182617›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Quantitative Real-Time PCR for Trypanosoma cruzi Infection Diagnosis and Treatment Response Monitoring of Patients with Chagas Disease.

Juan Carlos Ramirez, Otacilio C Moreira

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Long-Term Parasitological Clearance and Cardiac Progression inTropical medicine and infectious disease · 2026
    Article
  2. Clinical Progression of Cardiac ChronicPathogens (Basel, Switzerland) · 2025
    Article
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

2 authors.

Juan Carlos RamirezInstituto Multidisciplinario de Investigaciones en Patologías Pediátricas (IMIPP), CONICET-GCBA, Buenos Aires, Argentina. jcramirez@conicet.gov.ar.
Otacilio C MoreiraLaboratório de Virologia e Parasitologia Molecular, Instituto Oswaldo Cruz/Fiocruz, Rio de Janeiro, Brazil. otacilio@ioc.fiocruz.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of accurate diagnostic tools and surrogate markers of parasitological response to treatment are priorities in Chagas disease (CD) research. For years, the detection of Trypanosoma cruzi DNA by polymerase chain reaction (PCR) has proved to be useful in some clinical scenarios such as acute CD, including cases of vertical transmission and oral outbreaks, CD reactivation in immunosuppressed patients, and post-treatment follow-up. In that sense, the implementation of quantitative real-time PCR (qPCR) assays was an important step in the development of more reliable tools for T. cruzi infection diagnosis and treatment response monitoring. In 2011, a multicenter study addressed the analytical validation and clinical evaluation of two multiplex qPCR strategies for the quantification of T. cruzi DNA in blood samples. This chapter describes the most-used protocol to detect and quantify parasite load in human blood samples, including dried blood spots on filter paper, by T. cruzi satellite DNA multiplex qPCR with endogenous and exogenous internal amplification controls, and discusses some aspects to consider during planning and executing these procedures.

Indexed as

Chagas DiseaseDNA, ProtozoanMultiplex Polymerase Chain ReactionReal-Time Polymerase Chain ReactionTrypanosoma cruziHumansParasite LoadTrypanocidal AgentsDNA, ProtozoanTrypanocidal AgentsChagas diseaseMolecular diagnosticsParasite loadParasite loadReal-time PCRTreatment monitoringTrypanosoma cruzi

Identifiers

PMID41182617

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.