Evidence map›Paper›PMID 33391194›Full record

ArticleFrontiers in microbiology2020

Jees Sebastian, Rashmi Ravindran Nair, Sharmada Swaminath, Parthasarathi Ajitkumar

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Structural and functional characterization of FabG4 from Mycolicibacterium smegmatis.Acta crystallographica. Section F, Structural biology communications · 2024
    Article
  4. Gallein and isoniazid act synergistically to attenuatebioRxiv : the preprint server for biology · 2024
    Article
  5. Fate ofFrontiers in microbiology · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. The Biological and Clinical Aspects of a Latent Tuberculosis Infection.Tropical medicine and infectious disease · 2022
    Review
  10. The HCurrent research in microbial sciences · 2022
    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

4 authors at 1 institution in 1 country.

Jees SebastianDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, India.
Rashmi Ravindran NairDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, India.
Sharmada SwaminathDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, India.
Parthasarathi AjitkumarDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, India.
Indian Institute of Science Bangalore · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Majority of the cells in the bacterial populations exposed to lethal concentrations of antibiotics for prolonged duration succumbs to the antibiotics' sterilizing activity. The remaining cells survive by diverse mechanisms that include reduced permeability of the antibiotics. However, in the cells surviving in the continued presence of lethal concentrations of antibiotics, it is not known whether any cell surface alterations occur that in turn may reduce permeability of the antibiotics. Here we report the presence of a highly negatively charged, hydrophilic, thickened capsular outer layer (TCOL) on a small proportion of the rifampicin surviving population (RSP) of

Indexed as

Mycobacterium tuberculosisnegatively charged polysaccharidesrifampicin permeabilityrifampicin surviving cellsthickened capsular outer layer

Identifiers

PMID33391194
PMCPMC7773709
OpenAlexW3111259902

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.