Evidence map›Paper›PMID 41484361›Full record

ArticleScientific reports2026

LowLoad-qPCR as a novel clinical strategy for detecting low-load bacteremia.

Paula Gómez Estévez, José Miguel Cisneros, José Antonio Lepe, Guillermo Martín-Gutiérrez, José Manuel Ortiz de la Rosa

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

5 authors.

Paula Gómez EstévezClinical Unit of Infectious Diseases, Microbiology and Parasitology, University Hospital Virgen del Rocío, Av. Manuel Siurot s/n 41013, Seville, Spain.
José Miguel CisnerosClinical Unit of Infectious Diseases, Microbiology and Parasitology, University Hospital Virgen del Rocío, Av. Manuel Siurot s/n 41013, Seville, Spain.
José Antonio LepeClinical Unit of Infectious Diseases, Microbiology and Parasitology, University Hospital Virgen del Rocío, Av. Manuel Siurot s/n 41013, Seville, Spain.
Guillermo Martín-GutiérrezClinical Unit of Infectious Diseases, Microbiology and Parasitology, University Hospital Virgen del Rocío, Av. Manuel Siurot s/n 41013, Seville, Spain. gmartin-ibis@us.es.
José Manuel Ortiz de la RosaClinical Unit of Infectious Diseases, Microbiology and Parasitology, University Hospital Virgen del Rocío, Av. Manuel Siurot s/n 41013, Seville, Spain. ortiz_dela_8@hotmail.com.

Funding

Consejería de Salud y Consumo, Junta de Andalucía B-0006-2019Instituto de Salud Carlos III FI24/00301Instituto de Salud Carlos III PI23/01760
6 · The paper itself

Abstract

The primary obstacle in detecting bloodstream infections is their often extremely low bacterial concentration. To accurately detect such infections, we developed a quantitative PCR assay, named LowLoad-qPCR, based on the combination of increased input DNA by random priming amplification method and the use of multiple probes sharing a single fluorophore. Here, we detail the key improvements over conventional qPCR and evaluate its performance using blood samples.

Indexed as

BacteremiaBacterial LoadReal-Time Polymerase Chain ReactionDNA, BacterialHumansSensitivity and SpecificityDNA, BacterialBacteriemiaBlood infectionqPCRRapid diagnosticSensitivity

Identifiers

PMID41484361
PMCPMC12859039

What OpenQuestion holds

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Registered trials

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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.