ArticleInfection and drug resistance2023
Analysis of Risk Factors for Carbapenem Resistant
Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
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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
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.
- Risk factors for carbapenem-resistant Klebsiella pneumoniae infection in hospitalized patients: a meta-analysis.Frontiers in cellular and infection microbiology · 2026Pooled it
- Decolonization strategies for ESBL-producing or carbapenem-resistant Enterobacterales carriage: a systematic review and meta-analysis.Scientific reports · 2024Pooled it
- Drug resistance mechanisms and molecular epidemiology of carbapenem-resistant Klebsiella pneumoniae in pulmonary infections.BMC infectious diseases · 2026Article
- Development and Validation of an Interpretable Machine Learning Model for Predicting Carbapenem-ResistantInfection and drug resistance · 2026Article
- Predictive model for carbapenem-resistant Klebsiella pneumoniae bloodstream infection based on a nomogram: a retrospective study.BMC research notes · 2025Article
- Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability.Scientific reports · 2025Article
- Clinical and Molecular Characteristics of Patients with Bloodstream Infections Caused by KPC and NDM Co-Producing Carbapenem-ResistantInfection and drug resistance · 2024Article
- Analysis of Risk Factors for Carbapenem ResistantInfection and drug resistance · 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 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Healthcare-associated infections caused by Methods: The clinical data of patients with Results: Six predictive factors of ICU stay, fever time, central venous catheterization time, catheter indwelling time, carbapenem use and tetracycline use screened by lasso regression were included in the logistic regression model, and the nomogram was drawn to visualize the results. The area under ROC curve of training set and validation set was 0.894 (95% CI: 0.857, 0.931) and 0.872 (95% CI: 0.805, 0.939); The results of decision curve analysis also show that the model has good prediction accuracy. Conclusion: This study established a nomogram to predict CRKP infection based on lasso-logistic regression model, which has certain guiding significance for early diagnosis of CRKP infections.
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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.