Evidence map›Paper›PMID 28835478›Full record

ReviewJournal of clinical microbiology2017

Towards a Universal Molecular Microbiological Test.

Richard J N Allcock, Amy V Jennison, David Warrilow

Abstract readReview
In one paragraph

Review in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Infection in xenotransplantation: opportunities and challenges.Current opinion in organ transplantation · 2019
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
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.

Richard J N AllcockSchool of Biomedical Sciences, University of Western Australia, Nedlands, Western Australia, Australia.
Amy V JennisonPublic Health Microbiology Laboratory, Queensland Health Forensic and Scientific Services, Archerfield, Queensland, Australia.
David WarrilowPublic Health Virology Laboratory, Queensland Health Forensic and Scientific Services, Archerfield, Queensland, Australia David.Warrilow@health.qld.gov.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The standard paradigm for microbiological testing is dependent on the presentation of a patient to a clinician. Tests are then requested based on differential diagnoses using the patient's symptoms as a guide. The era of high-throughput genomic methods has the potential to replace this model for the first time with what could be referred to as "hypothesis-free testing." This approach utilizes one of a variety of methodologies to obtain a sequence from potentially any nucleic acid in a clinical sample, without prior knowledge of its content. We discuss the advantages of such an approach and the challenges in making this a reality.

Indexed as

Communicable DiseasesGenomicsHumansMicrobiological TechniquesMolecular Diagnostic Techniquesbacteriologybioinformaticsdiagnosticsgenome analysishigh-throughput sequencinghypothesis-free testingnext-generation sequencingpersonalized medicinevirology

Identifiers

PMID28835478
PMCPMC5654900

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.