Evidence map›Paper›PMID 34818683›Full record

ArticleJournal of clinical pharmacy and therapeutics2022

Visualization of cross-resistance between antimicrobial agents by asymmetric multidimensional scaling.

Yasutoshi Hatsuda, Syou Maki, Toshihiko Ishizaka, Sachiko Omotani, Naonori Koizumi, Yukako Yasui, Takako Saito, Michiaki Myotoku, Akinori Okada, Tadashi Imaizumi

Abstract read
In one paragraph

Article in Journal of clinical pharmacy and therapeutics, 2022. 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
–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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

10 authors.

Yasutoshi HatsudaFaculty of Pharmacy, Osaka Ohtani University, Osaka, Japan.ORCID https://orcid.org/0000-0002-5419-9065
Syou MakiInstitute of Frontier Science and Technology, Okayama University of Science, Okayama, Japan.
Toshihiko IshizakaSakai City Medical Center, Osaka, Japan.
Sachiko OmotaniFaculty of Pharmacy, Osaka Ohtani University, Osaka, Japan.
Naonori KoizumiSakai City Medical Center, Osaka, Japan.
Yukako YasuiSakai City Medical Center, Osaka, Japan.
Takako SaitoSakai City Medical Center, Osaka, Japan.
Michiaki MyotokuFaculty of Pharmacy, Osaka Ohtani University, Osaka, Japan.
Akinori OkadaRikkyo University, Tokyo, Japan.
Tadashi ImaizumiFaculty of Management and Information Sciences, Tama University, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

WHAT IS KNOWN AND

objectiveIn our previous studies, we developed a cross-resistance rate (CRR) correlation diagram (CRR diagram) that visually captures the magnitude of CRRs between antimicrobials using scatter plots. We used asymmetric multidimensional scaling (MDS) to transform cross-resistance similarities between antimicrobials into a 2-dimensional map and attempted to visually express them. We also explored the antibiograms of Pseudomonas aeruginosa before and after the transfer to newly built hospitals, and we determined by the CRR diagram that the CRRs among β-lactam antimicrobials other than carbapenems decreased substantially with the facility transfer. The present study tests whether the analysis of CRRs by asymmetric MDS can be used as new visual information that is easy for healthcare professionals to understand.

methodWe tested the impact of changes in the nosocomial environment due to institutional transfers on CRRs among antimicrobials in asymmetric MDS, as well as contrasted the asymmetric MDS map and CRR diagram. RESULTS AND DISCUSSION: In the asymmetric MDS map, antimicrobial groups with the same mechanism of action were displayed close together, and antimicrobial groups with different mechanisms of action were displayed separately. The asymmetric MDS map drawn solely for antimicrobials belonging to the group with the same mechanism of action showed similarities to the CRR diagram. Also, the distance of each antimicrobial to other antimicrobials shown in the asymmetric MDS map was negatively correlated with the CRRs for them against that antimicrobial. WHAT IS NEW AND

conclusionThe asymmetric MDS map expresses the dissimilarity as distances between agents, and there are no meanings or units on the ordinate and abscissa axes of the output map. In contrast, the CRR diagram expresses the antimicrobials' resistance status as values, such as resistance rate and CRR. By analysing the CRRs in the asymmetric MDS, it is feasible to visually recognize cross-resistance similarities between antimicrobial groups as distances. The use of the asymmetric MDS combined with the CRR diagram allows us to visually understand the resistance and cross-resistance status of each antimicrobial agent as a 2-dimensional map, as well as to understand the trends and characteristics of the data by means of quantitative values.

Indexed as

Anti-Infective AgentsMultidimensional Scaling AnalysisAnti-Bacterial AgentsHumansMicrobial Sensitivity TestsPseudomonas aeruginosaAnti-Bacterial AgentsAnti-Infective Agentsantimicrobialasymmetric MDScross-resistanceCRR diagramhospitalPseudomonas aeruginosa

Identifiers

PMID34818683
PMCPMC9298725

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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.