Evidence map›Paper›PMID 27065040›Full record

ArticleSpringerPlus2016

Cultivation-independent approach for the direct detection of bacteria in human clinical specimens as a tool for analysing culture-negative samples: a prospective study.

Ma Guadalupe Aguilera-Arreola, Marcos Daniel Martínez-Peña, Fabiola Hernández-Martínez, Sara R Juárez Enriques, Beatriz Rico Verdín, Cristina Majalca-Martínez, Graciela Castro-Escarpulli, Enrique Albarrán-Fernández, S Cecilia Serrano-López

Abstract read
In one paragraph

Article in SpringerPlus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Urinary Microbiome: Yin and Yang of the Urinary Tract.Frontiers in cellular and infection microbiology · 2021
    Review
  4. Article
  5. Correct Identification ofFrontiers in medicine · 2018
    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

9 authors.

Ma Guadalupe Aguilera-ArreolaDepartment of Microbiology, Instituto Politécnico Nacional (IPN), Escuela Nacional de Ciencias Biológicas (ENCB), Mexico City, D.F. Mexico.
Marcos Daniel Martínez-PeñaDepartment of Microbiology, Instituto Politécnico Nacional (IPN), Escuela Nacional de Ciencias Biológicas (ENCB), Mexico City, D.F. Mexico ; Microbial Genetic Resources Laboratory, Centro Nacional de Recursos Genéticos (CNRG)-INIFAP, Tepatitlán de Morelos, Jalisco Mexico.
Fabiola Hernández-MartínezDepartment of Microbiology, Instituto Politécnico Nacional (IPN), Escuela Nacional de Ciencias Biológicas (ENCB), Mexico City, D.F. Mexico ; Department of Zoology, Escuela Nacional de Ciencias Biológicas - Instituto Politécnico Nacional, Mexico City, D.F. Mexico.
Sara R Juárez EnriquesSpecial Test Laboratory, Centro Médico Nacional (CMN) 20 de Noviembre - Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE), Mexico City, D.F. Mexico.
Beatriz Rico VerdínDepartment of Epidemiology, Centro Médico Nacional (CMN) 20 de Noviembre del Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE), Mexico City, D.F. Mexico.
Cristina Majalca-MartínezSpecial Test Laboratory, Centro Médico Nacional (CMN) 20 de Noviembre - Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE), Mexico City, D.F. Mexico.
Graciela Castro-EscarpulliDepartment of Microbiology, Instituto Politécnico Nacional (IPN), Escuela Nacional de Ciencias Biológicas (ENCB), Mexico City, D.F. Mexico.
Enrique Albarrán-FernándezDepartment of Epidemiology, Centro Médico Nacional (CMN) 20 de Noviembre del Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE), Mexico City, D.F. Mexico.
S Cecilia Serrano-LópezSpecial Test Laboratory, Centro Médico Nacional (CMN) 20 de Noviembre - Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE), Mexico City, D.F. Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Administration of empirical antibiotic therapy prior to microbiological diagnosis is thought to be associated the failure of subsequent bacterial growth in culture. The aim of this study was to detect bacterial pathogens via direct amplification and sequencing of the 16S rDNA gene in samples showing negative culture results as alternative diagnostic tools to troubleshoot difficult samples. Twenty-three (7.66 %) positive samples were detected, most of which were monomicrobial infections; 15 of the cases were identified as HAIs, 6 had catheter colonisation, and 2 had sample colonisation. The pathogens identified included Escherichia, Salmonella, Pseudomonas spp., Enterococcus spp. and coagulase-negative staphylococci (CoNS). The most frequent infections were bacteraemia and urinary tract infection, but meningitis, warm infection and soft tissue infection were also documented. These findings emphasise the efficacy and usefulness of molecular diagnosis, thus 16S rDNA gene analysis is strongly indicated by HAIs diagnostics.

Indexed as

16S rDNABroad-range PCRCulture-negativeDirect sequencingHospital-acquired infections

Identifiers

PMID27065040
PMCPMC4792836

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.