ArticleFrontiers in pediatrics2026
Constructing a predictive model for the risk of periventricular leukomalacia in very low birth weight premature infants based on Lasso-Logistic regression analysis.
Article in Frontiers in 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To analyze the predictors of periventricular leukomalacia (PVL) in very low birth weight premature infants based on Lasso-Logistic regression and construct a nomogram prediction model. Methods: From March 2022 to May 2024, 248 very low birth weight premature infants born and hospitalized in our hospital were marked as the modeling group. Another 106 very low birth weight premature infants hospitalized from June 2024 to March 2025 were selected as the verification group. Lasso Logistic regression was used to screen for the predictors of PVL in very low birth weight premature infants. The nomogram risk prediction model was constructed. Hosmer-Lemeshow test and ROC analysis were used to evaluate the predictive value of the model. The decision curve analysis (DCA) was used to evaluate the clinical application value of the model. Results: The total incidence of PVL in 354 premature infants was 23.73%. Lasso and logistic regression results showed that Apgar score at 1 min after birth (OR = 0.645), C-reactive protein (CRP) (OR = 5.687), neonatal respiratory distress syndrome (NRDS) (OR = 5.412), sepsis (OR = 6.752), patent ductus arteriosus (OR = 9.428), and chorioamnionitis (OR = 8.342) were the predictors of PVL in very low birth weight premature infants ( Conclusion: The risk of PVL in very low birth weight premature infants is closely related to Apgar score at 1 min after birth, CRP, NRDS, sepsis, patent ductus arteriosus, and chorioamnionitis. The model established based on these six factors has good predictive performance.
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.