Evidence map›Paper›PMID 35313934›Full record

ReviewCritical care (London, England)2022

Digital PCR applications for the diagnosis and management of infection in critical care medicine.

Irene Merino, Amanda de la Fuente, Marta Domínguez-Gil, José María Eiros, Ana P Tedim, Jesús F Bermejo-Martín

Open access · goldAbstract readReview
In one paragraph

Review in Critical care (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.2field-weighted citation impact, top 2% of its field
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

29 citing papers in PubMed, 49 citations in OpenAlex.

  1. Can Digital PCR Enhance the Detection ofPathogens (Basel, Switzerland) · 2026
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  5. Review
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  9. Recent advances in diagnostic technologies for postoperative central nervous system infections: a review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
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  12. Review
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  17. Droplet Digital PCR forAntibiotics (Basel, Switzerland) · 2024
    Article
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  19. Review
  20. 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

6 authors at 3 institutions in 1 country.

Irene MerinoGroup for Biomedical Research in Sepsis (BioSepsis), Instituto de Investigación Biomédica de Salamanca, (IBSAL), Paseo de San Vicente, 58-182, 37007, Salamanca, Spain.
Amanda de la FuenteGroup for Biomedical Research in Sepsis (BioSepsis), Instituto de Investigación Biomédica de Salamanca, (IBSAL), Paseo de San Vicente, 58-182, 37007, Salamanca, Spain.
Marta Domínguez-GilMicrobiology Department, Hospital Universitario Río Hortega, Calle Dulzaina, 2, 47012, Valladolid, Spain.
José María EirosMicrobiology Department, Hospital Universitario Río Hortega, Calle Dulzaina, 2, 47012, Valladolid, Spain.
Ana P TedimGroup for Biomedical Research in Sepsis (BioSepsis), Instituto de Investigación Biomédica de Salamanca, (IBSAL), Paseo de San Vicente, 58-182, 37007, Salamanca, Spain. assantos.iecscyl@saludcastillayleon.es.ORCID 0000-0003-1016-7173
Jesús F Bermejo-MartínGroup for Biomedical Research in Sepsis (BioSepsis), Instituto de Investigación Biomédica de Salamanca, (IBSAL), Paseo de San Vicente, 58-182, 37007, Salamanca, Spain.
Instituto de Investigación Biomédica de Salamanca · ESHospital Universitario Río Hortega · ESInstituto de Salud Carlos III · ES

Funding

European Society of Clinical Microbiology and Infectious Diseases APTInstituto de Salud Carlos III CD18/00123Instituto de Salud Carlos III CM18/00157Instituto de Salud Carlos III FI20/00278Instituto de Salud Carlos III PI19/00590
6 · The paper itself

Abstract

Infection (either community acquired or nosocomial) is a major cause of morbidity and mortality in critical care medicine. Sepsis is present in up to 30% of all ICU patients. A large fraction of sepsis cases is driven by severe community acquired pneumonia (sCAP), which incidence has dramatically increased during COVID-19 pandemics. A frequent complication of ICU patients is ventilator associated pneumonia (VAP), which affects 10-25% of all ventilated patients, and bloodstream infections (BSIs), affecting about 10% of patients. Management of these severe infections poses several challenges, including early diagnosis, severity stratification, prognosis assessment or treatment guidance. Digital PCR (dPCR) is a next-generation PCR method that offers a number of technical advantages to face these challenges: it is less affected than real time PCR by the presence of PCR inhibitors leading to higher sensitivity. In addition, dPCR offers high reproducibility, and provides absolute quantification without the need for a standard curve. In this article we reviewed the existing evidence on the applications of dPCR to the management of infection in critical care medicine. We included thirty-two articles involving critically ill patients. Twenty-three articles focused on the amplification of microbial genes: (1) four articles approached bacterial identification in blood or plasma; (2) one article used dPCR for fungal identification in blood; (3) another article focused on bacterial and fungal identification in other clinical samples; (4) three articles used dPCR for viral identification; (5) twelve articles quantified microbial burden by dPCR to assess severity, prognosis and treatment guidance; (6) two articles used dPCR to determine microbial ecology in ICU patients. The remaining nine articles used dPCR to profile host responses to infection, two of them for severity stratification in sepsis, four focused to improve diagnosis of this disease, one for detecting sCAP, one for detecting VAP, and finally one aimed to predict progression of COVID-19. This review evidences the potential of dPCR as a useful tool that could contribute to improve the detection and clinical management of infection in critical care medicine.

Indexed as

COVID-19Critical CareHumansReal-Time Polymerase Chain ReactionReproducibility of ResultsCritically ill patientsDigital PCRHost responseInfection diagnosisPrognosis and treatment guidance

Identifiers

PMID35313934
PMCPMC8935253
OpenAlexW4220905115

What OpenQuestion holds

Textmetadata
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.