Evidence map›Paper›PMID 39125474›Full record

ReviewDiagnostics (Basel, Switzerland)2024

Advancing Pathogen Identification: The Role of Digital PCR in Enhancing Diagnostic Power in Different Settings.

Alessia Mirabile, Giuseppe Sangiorgio, Paolo Giuseppe Bonacci, Dalida Bivona, Emanuele Nicitra, Carmelo Bonomo, Dafne Bongiorno, Stefania Stefani, Nicolò Musso

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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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

9 authors.

Alessia MirabileDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy.
Giuseppe SangiorgioDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy.ORCID 0009-0006-9260-2915
Paolo Giuseppe BonacciDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy.ORCID 0000-0002-7305-7433
Dalida BivonaDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy.ORCID 0000-0002-2448-0227
Emanuele NicitraDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy.ORCID 0000-0003-2299-9356
Carmelo BonomoDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy.ORCID 0000-0001-5426-8799
Dafne BongiornoDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy.ORCID 0000-0002-8672-0484
Stefania StefaniDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy.ORCID 0000-0003-1594-7427
Nicolò MussoDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy.ORCID 0000-0003-2451-1158

Funding

Ministry of Education, Universities and Research PE 00000007 INF-ACTMinistry of Education, Universities and Research SAMOTHRACE ECS00000022
6 · The paper itself

Abstract

Digital polymerase chain reaction (dPCR) has emerged as a groundbreaking technology in molecular biology and diagnostics, offering exceptional precision and sensitivity in nucleic acid detection and quantification. This review highlights the core principles and transformative potential of dPCR, particularly in infectious disease diagnostics and environmental surveillance. Emphasizing its evolution from traditional PCR, dPCR provides accurate absolute quantification of target nucleic acids through advanced partitioning techniques. The review addresses the significant impact of dPCR in sepsis diagnosis and management, showcasing its superior sensitivity and specificity in early pathogen detection and identification of drug-resistant genes. Despite its advantages, challenges such as optimization of experimental conditions, standardization of data analysis workflows, and high costs are discussed. Furthermore, we compare various commercially available dPCR platforms, detailing their features and applications in clinical and research settings. Additionally, the review explores dPCR's role in water microbiology, particularly in wastewater surveillance and monitoring of waterborne pathogens, underscoring its importance in public health protection. In conclusion, future prospects of dPCR, including methodological optimization, integration with innovative technologies, and expansion into new sectors like metagenomics, are explored.

Indexed as

digital PCRenvironmental surveillanceinfectious disease diagnostics

Identifiers

PMID39125474
PMCPMC11311727

What OpenQuestion holds

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LicenceCC BY
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.