ArticleAmerican journal of translational research2024
Association between type 2 diabetes mellitus and Klebsiella pneumoniae colonization: construction of nomogram model.
Article in American journal of translational research, 2024. 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.
- Clinical characteristics and prognosis of central nervous system Klebsiella pneumoniae infection: a focus on hypervirulent and classical strains.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- K. pneumoniae-induced septic embolism and prostatic abscesses in a treatment-naive type 2 diabetic patient: a case report.BMC infectious diseases · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the association between the basic and clinical characteristics of patients with type 2 diabetes mellitus (T2DM) and their susceptibility to Klebsiella pneumoniae colonization (KPC). Additionally, a clinical prediction model was developed to identify high-risk patients for KPC.
methodsData from 486 T2DM patients who visited Shanghai Fifth People's Hospital from December 2020 to December 2022 were retrospectively collected. Patients were classified into the KPC group and normal group based on their Klebsiella pneumoniae test results. Differences between the two groups were analyzed using t-test and chi-square test. Logistic regression was performed to identify factors influencing KPC susceptibility in T2DM patients, with odds ratios (ORs) calculated. A clinical prediction model was constructed using a nomogram and evaluated through the area under the receiver operating characteristic (ROC) curve (AUC), Hosmer-Lemeshow test, calibration curve, and decision curve analysis (DCA).
resultsOf the 486 T2DM patients, 124 were found to have KPC, with a colonization rate of 25.51%. Logistic regression analysis revealed that hospitalization within the past six months, elevated white blood cell count, decreased hemoglobin, and elevated ferritin levels were independent risk factors for KPC. Thyroid and liver function indicators were also associated with KPC susceptibility. The clinical prediction model achieved an AUC of 0.74 (95% CI: 0.68-0.80). The calibration curve indicated no significant differences between observed and predicted values, suggesting that the model effectively identifies high-risk KPC patients.
conclusionT2DM patients are at an increased risk of secondary KPC. Identifying key risk factors for KPC in T2DM patients has significant clinical implications for early identification, targeted interventions, and individualized treatment strategies.
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.