Evidence map›Paper›PMID 22678348›Full record

ReviewEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2012

Next-generation and whole-genome sequencing in the diagnostic clinical microbiology laboratory.

W M Dunne, L F Westblade, B Ford

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 pooled it
–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

73 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Journal of clinical microbiology · 2023
    Article
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  20. Integrating Scalable Genome Sequencing Into Microbiology Laboratories for Routine Antimicrobial Resistance Surveillance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article

13 more citing papers are in PubMed but not listed here.

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

3 authors.

W M DunnebioMérieux, Inc., 100 Rodolphe Street, Durham, NC, 27712, USA. william.dunne@biomerieux.com
L F Westblade
B Ford

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification and/or prediction of the antimicrobial resistance of microorganisms in clinical materials solely by molecular means in the diagnostic microbiology laboratory is not novel. However, the ability to sequence multitudes of bacterial genomes and deliver and interpret the resultant sequence information in near "real-time" is the basis of next-generation sequencing (NGS) technologies. There have been numerous applications and successes of NGS applications in the clinical and public health domain. However, none have, as yet, delivered perhaps the most sought after application, i.e., the generation of microbial sequence data for "real-time" patient management. In this review, we discuss the use of NGS and whole-genome sequencing (WGS) of microorganisms as a logical next step for the routine diagnosis of infection and the prediction of antimicrobial susceptibility in the clinical microbiology laboratory.

Indexed as

Genome, BacterialAnti-Bacterial AgentsBacterial InfectionsBacteriological TechniquesDrug Resistance, BacterialHigh-Throughput Nucleotide SequencingHumansMolecular Diagnostic TechniquesAnti-Bacterial Agents

Identifiers

What OpenQuestion holds

Textmetadata
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.