ArticleIndian journal of pharmacology
Effect of combined colistin and meropenem against meropenem resistant
Article in Indian journal of pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Prevalence of colistin resistance in clinical isolates ofFrontiers in microbiology · 2024Pooled it
- Article
- Relationship between antibiotic resistance and biofilm-forming capacity with RND efflux pumps expression in clinical Acinetobacter baumannii isolates.Archives of microbiology · 2025Article
- The efficacy and safety of ceftazidime/avibactam or polymyxin B based regimens forFrontiers in pharmacology · 2025Article
- Deciphering the Intricate Interplay in the Framework of Antibiotic-Drug Interactions: A Narrative Review.Antibiotics (Basel, Switzerland) · 2024Review
- Genomic Insights into and In Vitro Evaluation of Antimicrobial Combination Therapies for Carbapenem-ResistantMedicina (Kaunas, Lithuania) · 2024Article
- Moving toward Extensively Drug-Resistant: Four-Year Antimicrobial Resistance Trends ofAntibiotics (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMeropenem-resistant Acinetobacter baumannii and Pseudomonas aeruginosa are the two most common nosocomial pathogens causing ventilator-associated pneumonia. To combat this resistance, different combinations of antibiotics have been evaluated for their efficacy in laboratories as well as in clinical situations.
aimThe aim of the study was to investigate the effect of combined colistin and meropenem against meropenem-resistant isolates of A. baumannii and P. aeruginosa by checkerboard method. MATERIALS AND
methodsFifty meropenem-resistant isolates of A. baumannii (n = 25) and P. aeruginosa (n = 25) from endotracheal aspirates were studied. The MIC of colistin and meropenem was found using the microbroth dilution method. The fractional inhibitory concentration was calculated for the combination of antibiotics by checkerboard assay and the antibiotic interactions were assessed. Fisher's exact test was carried out for statistical comparison of categorical variables.
resultsA synergistic effect between colistin and meropenem was observed in 18/25 (72%) and 6/25 (24%) isolates of Acinetobacter baumannnii and P. Aeruginosa, respectively, with fractional inhibitory concentration indices of ≤0.5. None of the tested isolates exhibited antagonism.
conclusionOur results showed that combinations of colistin and meropenem are associated with improvement in minimum inhibitory concentration and may be a promising strategy in treating meropenem-resistant A. baumannii respiratory tract infections.
Indexed as
Identifiers
What OpenQuestion holds
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.