ReviewThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale2026
Clinical Epidemiological Analysis of the Genotypic Spectrum and Mortality Risk in Carbapenem-Resistant
Review in The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Increase in Healthcare-Associated Infections: Is COVID-19 Responsible? A Narrative Review.Microorganisms · 2026Review
- Molecular and phenotypic profiles of carbapenem- and third-generation cephalosporin-resistant Klebsiella pneumoniae isolates from the fecal microbiota of pediatric patients with COVID-19.BMC microbiology · 2026Article
- Multicenter Point-Prevalence Study of Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2026Article
- Clinical Epidemiological Analysis of the Genotypic Spectrum and Mortality Risk in Carbapenem-ResistantThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Carbapenem-resistant Methods: This systematic review and meta-analysis were conducted according to the PRISMA guidelines and registered in PROSPERO (CRD420251150672). PubMed, Embase, and Web of Science were systematically searched for original studies up to September 9, 2025. Eligible studies reported genotypic types of CRKP (such as KPC, OXA-48-like, NDM, IMP, and VIM) and patient mortality. The pooled odds ratio (OR) and 95% confidence interval (CI) were calculated using a random-effects model. Subgroup analyses were performed by the genotype and region. Risk of bias was assessed using the ROBINS-I tool. Results: A total of 58 studies involving various countries and regions were included. The pooled analysis showed that CRKP infection with high-risk genotypes-defined in this study primarily as KPC and OXA-48-like types due to their strong association with increased transmission, drug resistance, and mortality-was significantly associated with increased all-cause mortality (pooled OR = 3.08, 95% CI: 2.44-3.88, Conclusions: High-risk genotypes of CRKP-defined in this study as KPC and OXA-48-like due to their strong association with increased transmission, drug resistance, and mortality-are associated with significantly increased mortality risk in infected patients, especially in China. These findings support risk stratification and personalized management of high-risk patients and provide evidence for regional prevention and control strategies. Further multicenter and mechanistic studies are warranted to improve clinical management and patient outcomes.
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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.