Evidence map›Paper›PMID 28724560›Full record

ArticleJournal of clinical microbiology2017

Accurate Detection of Methicillin-Resistant Staphylococcus aureus in Mixtures by Use of Single-Bacterium Duplex Droplet Digital PCR.

Jun Luo, Junhua Li, Hang Yang, Junping Yu, Hongping Wei

Abstract read
In one paragraph

Article 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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  4. Review
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  7. Laboratory tools for the direct detection of bacterial respiratory infections and antimicrobial resistance: a scoping review.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. A Method to Directly IdentifyFoods (Basel, Switzerland) · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Preparation of IgY Oriented Conjugated FeFrontiers in public health · 2022
    Article
  18. Article
  19. Article
  20. Rapid Discrimination of Methicillin-ResistantPathogens (Basel, Switzerland) · 2019
    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

5 authors.

Jun LuoKey Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Junhua LiKey Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Hang YangKey Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Junping YuKey Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Hongping WeiKey Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China hpwei@wh.iov.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and rapid identification of methicillin-resistant

Indexed as

Bacterial ProteinsCarrier StateGenetic MarkersHumansLimit of DetectionMethicillin-Resistant Staphylococcus aureusMicrococcal NucleaseNosePenicillin-Binding ProteinsPolymerase Chain ReactionStaphylococcal InfectionsBacterial ProteinsGenetic MarkersmecA protein, Staphylococcus aureusMicrococcal Nucleasenuc protein, staphylococcusPenicillin-Binding Proteinschimeric lysin ClyHmethicillin-resistant Staphylococcus aureusMRSA index ratiossingle-bacterium duplex droplet digital PCRtemperature-controlled lysis

Identifiers

PMID28724560
PMCPMC5625380

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.