ArticleTranslational pediatrics2026
Development and validation of a risk prediction model for respiratory tract
Article in Translational pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Methods: A total of 430 preterm infants admitted to the Department of Neonatology of Jinjiang Municipal Hospital from September 2022 to December 2024 were selected as the research subjects. Polymerase chain reaction (PCR)-fluorescent probe method was used to detect UU-DNA in respiratory secretions within 48 hours after admission. According to the test results, the preterm infants were divided into the UU-positive group (n=92) and the UU-negative group (n=338). Multivariable binary logistic regression analysis was performed to identify independent risk factors for UU infection. R software was used to construct a nomogram prediction model for respiratory UU infection in preterm infants, and the receiver operating characteristic (ROC) curve was used to evaluate the efficacy of the model. Results: Multivariable logistic regression analysis showed that maternal vaginal delivery [odds ratio (OR) =0.07, 95% confidence interval (CI): 0.033-0.149], premature rupture of membranes (OR =6.04, 95% CI: 3.023-12.065), chorioamnionitis (OR =3.498, 95% CI: 1.545-7.921), UU infection of the genital tract (OR =13.949, 95% CI: 6.858-28.373), and white blood cell count in preterm infants (OR =1.11, 95% CI: 1.033-1.192) were independent risk factors for UU infection in preterm infants. The above risk factors were introduced into R software to construct a nomogram model. The area under the ROC curve was 0.931 (95% CI: 0.905-0.956), the sensitivity was 90.2%, and the specificity was 82.8%, which had good prediction efficiency. Conclusions: The nomogram model based on the five independent risk factors of vaginal delivery, premature rupture of membranes, chorioamnionitis, UU infection of the genital tract, and white blood cell count of preterm infants has a high predictive ability. For preterm infants with high-risk factors, UU detection should be performed in time to achieve early diagnosis and intervention, reduce the incidence of serious complications, and improve the prognosis of children.
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.