Evidence map›Paper›PMID 41160263›Full record

SynthesisTropical animal health and production2025

High-resolution melting analysis in veterinary medicine: a systematic review of applications and diagnostic accuracy.

Oluwagbemiga Ademola Dada, Lais Goulart Ribeiro, Natalia Machado Rahal, Kauê Rodriguez Martins, Rodrigo Casquero Cunha, Odir Antonio Dellagostin

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Tropical animal health and production, 2025. 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.

Oluwagbemiga Ademola DadaLaboratório de Biologia Molecular, Departamento de Veterinária Preventiva, Universidade Federal de Pelotas, Campus Capão do Leão, Capão do Leão, RS, Brazil.
Lais Goulart RibeiroLaboratório de Biologia Molecular, Departamento de Veterinária Preventiva, Universidade Federal de Pelotas, Campus Capão do Leão, Capão do Leão, RS, Brazil.
Natalia Machado RahalLaboratório de Biologia Molecular, Departamento de Veterinária Preventiva, Universidade Federal de Pelotas, Campus Capão do Leão, Capão do Leão, RS, Brazil.
Kauê Rodriguez MartinsLaboratório de Biologia Molecular, Departamento de Veterinária Preventiva, Universidade Federal de Pelotas, Campus Capão do Leão, Capão do Leão, RS, Brazil.
Rodrigo Casquero CunhaLaboratório de Biologia Molecular, Departamento de Veterinária Preventiva, Universidade Federal de Pelotas, Campus Capão do Leão, Capão do Leão, RS, Brazil.
Odir Antonio DellagostinCentro de Desenvolvimento Tecnológico, Universidade Federal de Pelotas, Pelotas, Rio Grande Campus Capão do Leão, Capão do Leão, RS, Brazil. odirad@gmail.com.ORCID http://orcid.org/0000-0003-2803-4088

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-Resolution Melting (HRM) analysis is gaining prominence as a powerful molecular diagnostic tool in veterinary medicine, offering rapid and cost-effective detection of pathogens and genetic variants. This systematic review synthesizes findings from 52 studies, underscoring the utility of HRM in the early identification of infectious agents in livestock. The review also examines its effectiveness in differentiating closely related pathogens and in monitoring antimicrobial resistance. These applications directly contribute to more informed treatment decisions, enhanced disease surveillance, and improved biosecurity strategies in both companion and production animals. A targeted meta-analysis of six studies encompassing 692 clinical samples revealed high diagnostic accuracy, with pooled sensitivity of 94.3% and specificity of 98.3%. These results affirm HRM’s reliability as a frontline screening tool, particularly valuable during disease outbreaks or herd health assessments where speed and precision are critical. Despite its advantages, HRM has certain limitations. It depends on high-quality DNA, may overestimate low-abundance targets, and often struggles to distinguish between highly related genotypes. Nevertheless, ongoing innovations, including multiplex HRM assay development, continue to enhance its applicability to a wider array of veterinary pathogens. As the field evolves, integrating HRM into routine diagnostic workflows may empower veterinarians to make faster and more accurate decisions, ultimately promoting better animal health outcomes.

Indexed as

Animal DiseasesMolecular Diagnostic TechniquesVeterinary MedicineAnimalsLivestockReproducibility of ResultsSensitivity and SpecificityDiagnosisDiseasesGeneticsHigh-resolutionTemperature

Identifiers

What OpenQuestion holds

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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.