ArticleInfection and drug resistance2025
Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Artificial intelligence applications in biofilm research: computational approaches for biofilm analysis and antimicrobial prediction.Frontiers in microbiology · 2026Review
- Incidence and Antibiotic Susceptibility of Gram-Negative Bacteria Associated With Chest Infections in Intensive Care Unit Patients From a Selected Hospital in the Kingdom of Saudi Arabia.BioMed research international · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Methods: A big hospital in Qunfudah provided 137 cases of infected individuals for this retrospective analysis. It was conducted on the available data on ICU patients' records. Various types of specimens were used. The data collected includes patients' demographic data, laboratory investigation, and tests for antimicrobial susceptibility. The isolates were identified and subjected to antimicrobial susceptibility tests using the compact system identification method. Data input and analysis were done using SPSS, version 26. Results: The outcomes of this study reflected that more than half of Conclusion: In conclusion, this study examines the antimicrobial resistance of
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Registered trials
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