Evidence map›Paper›PMID 34168479›Full record

ArticleClinical, cosmetic and investigational dermatology2021

Antibacterial Susceptibility Testing of

Ingus Skadins, Aleksejs Zavorins, Juta Kroica, Terēze Pavloviča, Dagnija Bruzgule, Tatjana Averjanova

Open access · goldAbstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Ingus SkadinsRiga Stradiņš University, Department of Biology and Microbiology, Riga, LV-1007, Latvia.
Aleksejs ZavorinsRīga Stradiņš University, Department of Dermatoveneorology, Riga, LV-1010, Latvia.ORCID 0000-0003-1007-7434
Juta KroicaRiga Stradiņš University, Department of Biology and Microbiology, Riga, LV-1007, Latvia.ORCID 0000-0003-0805-7063
Terēze PavlovičaRiga Stradiņš University, Faculty of Medicine, Riga, LV-1007, Latvia.ORCID 0000-0002-8265-5048
Dagnija BruzguleRiga Stradiņš University, Faculty of Medicine, Riga, LV-1007, Latvia.
Tatjana AverjanovaRiga Stradiņš University, Faculty of Medicine, Riga, LV-1007, Latvia.ORCID 0000-0002-4225-5584
Riga Stradiņš University · LV

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCombination therapy is widely used for the treatment of acne vulgaris (AV), including local anti-inflammatory drugs containing antimicrobials, such as clindamycin or erythromycin, to inhibit

methodsThe prospective study included 56 patients with clinically diagnosed AV symptoms and 12 patients were included in the CG who did not have AV. In the AV group, patient specimen was contents of pustules obtained by squeezing pustules, but in the CG, the specimen was content of sebaceous glands. All specimens were cultivated on a combined Mueller-Hinton solid medium. Identification was done by VITEK2 and followed by determination of antibacterial susceptibility of the isolated

results

conclusionPatients with AV have higher rates of resistance to erythromycin than the CG, while resistance to clindamycin is comparable. Resistance data showed no statistically significant association between use of erythromycin and clindamycin and the development of resistance. More

Indexed as

acne vulgarisantibacterial susceptibilityclindamycinCutibacterium acneserythromycin

Identifiers

PMID34168479
PMCPMC8219112
OpenAlexW3173048093

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.