Evidence map›Paper›PMID 41704837›Full record

ArticlePractical laboratory medicine2026

Evaluation of the Truenat® chip-based real-time PCR platform for infectious disease diagnostics.

João Renato Rebello Pinho, Gabriela Rampazzo Cruz, Priscila de Meira Oliveira, Fernanda de Mello Malta, Roberta Cardoso Petroni, Roberta Miraglia, Ana Claudia Campana, Alice Friedenberg de Ulhoa Cintra, Ricardo Andreotti Siqueira, Rubia Anita Ferraz Santana and 5 more

Abstract read
In one paragraph

Article in Practical laboratory medicine, 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

15 authors.

João Renato Rebello PinhoHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Gabriela Rampazzo CruzHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Priscila de Meira OliveiraHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Fernanda de Mello MaltaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Roberta Cardoso PetroniHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Roberta MiragliaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Ana Claudia CampanaPrimaConsult Healthcare Ltda, Carapicuíba, SP, Brazil.
Alice Friedenberg de Ulhoa CintraUNIRIO Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Ricardo Andreotti SiqueiraHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Rubia Anita Ferraz SantanaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Fabiane Camargo Gomes NunesHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Marinês Dalla Valle MartinoHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
André Mario DoiHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Nair Hideko MutoHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Cristóvão Luis Pitangueira MangueiraHospital Israelita Albert Einstein, São Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to evaluate the Trueprep/Truelab platform with four Truenat assays (COVID-19, Methods: Remnant clinical specimens and commercial controls were analyzed under routine conditions. Performance metrics included accuracy, reproducibility, limit of detection (LOD), linearity, and specificity, when applicable. Each analyte was tested in replicates, and results were compared with established reference methods. Results: The Truenat COVID-19 assay achieved 100% agreement with the reference and LOD of 500 copies/mL. Truenat MTB showed 95% concordance with the comparator, though repeat runs were occasionally required (7.3%). Malaria assays demonstrated high reproducibility and linearity (R Conclusion: Truenat assays showed reliable analytical performance, especially for COVID-19. While MTB detection remains more robust with Xpert Ultra in low-burden cases, Truenat provides a viable point-of-care alternative in resource-limited settings. For malaria and leptospirosis, broader clinical validation is needed before routine implementation in our service.

Indexed as

COVID-19LeptospiraMalariaMycobacterium tuberculosisPoint of care

Identifiers

PMID41704837
PMCPMC12907223

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.