Evidence map›Paper›PMID 30332754›Full record

ArticleAntibiotics (Basel, Switzerland)2018

Identification of Essential Oils with Strong Activity against Stationary Phase

Jie Feng, Wanliang Shi, Judith Miklossy, Genevieve M Tauxe, Conor J McMeniman, Ying Zhang

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Uncharted Source of Medicinal Products: The Case of theMedicines (Basel, Switzerland) · 2020
    Review
  16. Article
  17. Article
  18. Lyme Disease Frontiers: ReconcilingPathogens (Basel, Switzerland) · 2019
    Review
  19. Essential Oils with High Activity against Stationary PhaseAntibiotics (Basel, Switzerland) · 2019
    Article
  20. 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

6 authors.

Jie FengDepartment of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA. jfeng16@jhu.edu.
Wanliang ShiDepartment of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA. wshi3@jhu.edu.
Judith MiklossyInternational Alzheimer Research Centre, Prevention Alzheimer International Foundation, Martigny-Croix CP 16 1921, Switzerland. judithmiklossy@bluewin.ch.
Genevieve M TauxeDepartment of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA. gtauxe1@jhu.edu.
Conor J McMenimanDepartment of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA. cmcmeni1@jhu.edu.
Ying ZhangDepartment of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA. yzhang@jhsph.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lyme disease is the most common vector borne-disease in the United States (US). While the majority of the Lyme disease patients can be cured with 2⁻4 weeks antibiotic treatment, about 10⁻20% of patients continue to suffer from persisting symptoms. While the cause of this condition is unclear, persistent infection was proposed as one possibility. It has recently been shown that

Indexed as

antimicrobial activitybiofilmBorrelia burgdorferiessential oilspersisters

Identifiers

PMID30332754
PMCPMC6316231

What OpenQuestion holds

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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.