Evidence map›Paper›PMID 31180047›Full record

ArticleJournal of biosciences2019

Comparison of

Ronaldo Omizolo DE Souza, Kesia Esther DA Silva, Rodrigo Matheus Pereira, Simone Simionatto

Abstract readComparative Study
PubMed
In one paragraph

Article in Journal of biosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Ronaldo Omizolo DE Souza
Kesia Esther DA Silva
Rodrigo Matheus Pereira
Simone Simionatto
Universidade Federal da Grande Dourados · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Syphilis is a sexually transmitted infection caused by Treponema pallidum, which is highly prevalent in several countries, including Brazil. The use of bioinformatics' tools for the identification of resistance genes is an important practice for the study of microorganisms, such as T. pallidum. In this study, the complete genomes of 43 strains of T. pallidum, isolated from different countries, were analyzed. A total of 41,514 sequences were obtained, and compared against prokaryote resistance gene databases using BLASTn, BLASTx and RGI for gene alignment and prediction. From the alignments, it was possible to identify antibiotic resistance genes for each strain. The genes identified in each comparison were grouped according to the antibiotic category in which they show resistance to. The antibiotic-resistant genes related to drugs used to treat syphilis were grouped separately. The in silico tools used have shown to be effective in identifying resistance genes in genomes of T. pallidum strains. Due to the lack of research and accurate information regarding the antibiotic resistance genes in T. pallidum, this study serves as a basis for studies in molecular biology whose aim is the identification of these genes, besides being a reference to help in the control and treatment of this infection.

Indexed as

Genes, BacterialAnti-Bacterial AgentsBase SequenceCephalosporinsChinaComputational BiologyDrug Resistance, Multiple, BacterialHumansMacrolidesPenicillinsPortugalSequence AlignmentSyphilisTreponema pallidumUnited StatesAnti-Bacterial AgentsCephalosporinsMacrolidesPenicillins

Identifiers

PMID31180047
OpenAlexW2940040207

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.