ArticleAntimicrobial agents and chemotherapy2022
Linear Regression Equations To Predict β-Lactam, Macrolide, Lincosamide, and Fluoroquinolone MICs from Molecular Antimicrobial Resistance Determinants in
Article in Antimicrobial agents and chemotherapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Invasive pneumococcal disease surveillance in Canada, 2023.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2026Article
- A mini review of genome-predicted β-lactam susceptibility inFrontiers in cellular and infection microbiology · 2026Review
- GPS Pipeline: portable, scalable genomic pipeline for Streptococcus pneumoniae surveillance from Global Pneumococcal Sequencing Project.Nature communications · 2025Article
- A new approach to define the optimal immunization strategy against pneumococcal disease: the example of Canada.Epidemiology and infection · 2025Article
- Phenotypic and molecular characterization of Streptococcus pneumoniae serotype 3 isolates from blood and respiratory samples in Canada: CANWARD 2007-21.The Journal of antimicrobial chemotherapy · 2024Article
- Article
- Invasive pneumococcal disease surveillance in Canada, 2021-2022.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024Article
- Predictive Modeling of Phenotypic Antimicrobial Susceptibility of Selected Beta-Lactam Antimicrobials from Beta-Lactamase Resistance Genes.Antibiotics (Basel, Switzerland) · 2024Article
- Streptococcus suis serotype 9 in Italy: genomic insights into high-risk clones with emerging resistance to penicillin.The Journal of antimicrobial chemotherapy · 2024Article
- Population structure, serotype distribution and antibiotic resistance ofMicrobial genomics · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 11 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antimicrobial resistance in Streptococcus pneumoniae represents a threat to public health, and monitoring the dissemination of resistant strains is essential to guiding health policy. Multiple-variable linear regression modeling was used to determine the contributions of molecular antimicrobial resistance determinants to antimicrobial MICs for penicillin, ceftriaxone, erythromycin, clarithromycin, clindamycin, levofloxacin, and trimethoprim-sulfamethoxazole. Training data sets consisting of Canadian S. pneumoniae isolates obtained from 1995 to 2019 were used to generate multiple-variable linear regression equations for each antimicrobial. The regression equations were then applied to validation data sets of Canadian (
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Registered trials
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.