Evidence map›Paper›PMID 26110091›Full record

ReviewJournal of pathology informatics2015

A review of the current state of digital plate reading of cultures in clinical microbiology.

Daniel D Rhoads, Susan M Novak, Liron Pantanowitz

Abstract readReview
In one paragraph

Review in Journal of pathology informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. In vitro antimicrobial susceptibility testing methods: agar dilution to 3D tissue-engineered models.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
    Review
  4. Article
  5. Article
  6. Automatic Digital Plate Reading for Surveillance Cultures.Journal of clinical microbiology · 2016
    Article
  7. Review of Telemicrobiology.Archives of pathology & laboratory medicine · 2016
    Review
  8. Performance of Copan WASP for Routine Urine Microbiology.Journal of clinical microbiology · 2016
    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

3 authors.

Daniel D RhoadsDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Susan M NovakSouthern California Permanente Medical Group, Regional Reference Laboratories, North Hollywood, California, USA.
Liron PantanowitzDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital plate reading (DPR) is increasingly being adopted as a means to facilitate the analysis and improve the quality and efficiency within the clinical microbiology laboratory. This review discusses the role of DPR in the context of total laboratory automation and explores some of the platforms currently available or in development for digital image capturing of microbial growth on media. The review focuses on the advantages and challenges of DPR. Peer-reviewed studies describing the utility and quality of these novel DPR systems are largely lacking, and professional guidelines for DPR implementation and quality management are needed. Further development and more widespread adoption of DPR is anticipated.

Indexed as

Automationdigital pathologymicrobiologyplate readingtelepathology

Identifiers

PMID26110091
PMCPMC4466785

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.