Evidence map›Paper›PMID 29312154›Full record

ArticleFrontiers in microbiology2017

Evaluation of Nucleic Acid Isothermal Amplification Methods for Human Clinical Microbial Infection Detection.

Brett E Etchebarne, Zenggang Li, Robert D Stedtfeld, Michael C Nicholas, Maggie R Williams, Timothy A Johnson, Tiffany M Stedtfeld, Tanja Kostic, Walid T Khalife, James M Tiedje and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Diagnosis of extraintestinal pathogenicCurrent research in microbial sciences · 2024
    Review
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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

12 authors at 2 institutions in 2 countries.

Brett E EtchebarneDepartment of Osteopathic Medical Specialties, Section of Emergency Medicine, College of Osteopathic Medicine, Michigan State University, East Lansing, MI, United States.
Zenggang LiDepartment of Osteopathic Medical Specialties, Section of Emergency Medicine, College of Osteopathic Medicine, Michigan State University, East Lansing, MI, United States.
Robert D StedtfeldCivil and Environmental Engineering, Michigan State University, East Lansing, MI, United States.
Michael C NicholasDepartment of Osteopathic Medical Specialties, Section of Emergency Medicine, College of Osteopathic Medicine, Michigan State University, East Lansing, MI, United States.
Maggie R WilliamsCivil and Environmental Engineering, Michigan State University, East Lansing, MI, United States.
Timothy A JohnsonThe Center for Microbial Ecology, Michigan State University, East Lansing, MI, United States.
Tiffany M StedtfeldCivil and Environmental Engineering, Michigan State University, East Lansing, MI, United States.
Tanja KosticCivil and Environmental Engineering, Michigan State University, East Lansing, MI, United States.
Walid T KhalifeDepartment of Microbiology, Sparrow Laboratories, Sparrow Health System, Lansing, MI, United States.
James M TiedjeThe Center for Microbial Ecology, Michigan State University, East Lansing, MI, United States.
Syed A HashshamCivil and Environmental Engineering, Michigan State University, East Lansing, MI, United States.
Mary J HughesDepartment of Osteopathic Medical Specialties, Section of Emergency Medicine, College of Osteopathic Medicine, Michigan State University, East Lansing, MI, United States.
Michigan State University · USSparrow Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Battling infection is a major healthcare objective. Untreated infections can rapidly evolve toward the condition of sepsis in which the body begins to fail and resuscitation becomes critical and tenuous. Identification of infection followed by rapid antimicrobial treatment are primary goals of medical care, but precise identification of offending organisms by current methods is slow and broad spectrum empirical therapy is employed to cover most potential pathogens. Current methods for identification of bacterial pathogens in a clinical setting typically require days of time, or a 4- to 8-h growth phase followed by DNA extraction, purification and PCR-based amplification. We demonstrate rapid (70-120 min) genetic diagnostics methods utilizing loop-mediated isothermal amplification (LAMP) to test for 15 common infection pathogen targets, called the Infection Diagnosis Panel (In-Dx). The method utilizes filtration to rapidly concentrate bacteria in sample matrices with lower bacterial loads and direct LAMP amplification without DNA purification from clinical blood, urine, wound, sputum and stool samples. The In-Dx panel was tested using two methods of detection: (1) real-time thermocycler fluorescent detection of LAMP amplification and (2) visual discrimination of color change in the presence of Eriochrome Black T (EBT) dye following amplification. In total, 239 duplicate samples were collected (31 blood, 122 urine, 73 mucocutaneous wound/swab, 11 sputum and two stool) from 229 prospectively enrolled hospital patients with suspected clinical infection and analyzed both at the hospital and by In-Dx. Sensitivity (Se) of the In-Dx panel targets pathogens from urine samples by In-Dx was 91.1% and specificity (Sp) was 97.3%, with a positive predictive value (PPV) of 53.7% and a negative predictive value (NPV) of 99.7% as compared to clinical microbial detection methods. Sensitivity of detection of the In-Dx panel from mucocutaneous swab samples was 65.5% with a Sp of 99.3%, and a PPV of 84% and NPV of 98% as compared to clinical microbial detection methods. Results indicate the LAMP-based In-Dx panel allows rapid and precise diagnosis of clinical infections by targeted pathogens across multiple culture types for point-of-care utilization.

Indexed as

clinical pathogen infectiondirect amplificationrapid detectionsepsis

Identifiers

PMID29312154
PMCPMC5732957
OpenAlexW2771664660

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.