Evidence map›Paper›PMID 32967210›Full record

ArticleAntibiotics (Basel, Switzerland)2020

Clinical Significance of Carbapenem-Tolerant

Momoyo Azuma, Keiji Murakami, Rina Murata, Keiko Kataoka, Hideki Fujii, Yoichiro Miyake, Yasuhiko Nishioka

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 54% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

7 authors at 3 institutions in 1 country.

Momoyo AzumaDevision of Infection Control and Prevention, Tokushima University Hospital, Tokushima 770-8503, Japan.
Keiji MurakamiDevision of Infection Control and Prevention, Tokushima University Hospital, Tokushima 770-8503, Japan.
Rina MurataDepartment of Oral Microbiology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima 770-8501, Japan.
Keiko KataokaDepartment of Microbiology and Genetic Analysis, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima 770-8501, Japan.
Hideki FujiiDepartment of Oral Microbiology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima 770-8501, Japan.ORCID 0000-0001-7923-4165
Yoichiro MiyakeDepartment of Oral Microbiology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima 770-8501, Japan.
Yasuhiko NishiokaDepartment of Respiratory Medicine and Rheumatology, Graduate School of Biomedical Sciences, Tokushima University, Tokushima 770-8501, Japan.
Tokushima University · JPTokushima University Hospital · JPTokushima Bunri University · JP

Funding

Japan Society for the Promotion of Science 18K09535
6 · The paper itself

Abstract

We often come across difficult to treat infections-even after administering appropriate antibiotics according to the minimal inhibitory concentration of the causative bacteria. Antibiotic tolerance has recently started to garner attention as a crucial mechanism of refractory infections. However, few studies have reported the correlation between clinical outcomes and antibiotic tolerance. This study aims to clarify the effect of antibiotic tolerance on clinical outcomes of respiratory tract infection caused by

Indexed as

antibiotic tolerancecarbapenem tolerancepersistent infectionsPseudomonas aeruginosarespiratory tract infection

Identifiers

PMID32967210
PMCPMC7558279
OpenAlexW3087200472

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.