Evidence map›Paper›PMID 40936765›Full record

Observational studyPeerJ2025

Easy-to-use nomogram to predict neonatal hyperbilirubinemia.

Shanshan Wang, Chan Wang, Siqi Zheng, Haiping Dou, Danyang Qu, Yuqian Wang, Liu Yang

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shanshan Wang *Department of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, China.
Chan Wang *Department of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, China.
Siqi ZhengDepartment of Otolaryngology, The Second Hospital of Dalian Medical University, Dalian, China.
Haiping DouDepartment of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, China.
Danyang QuDepartment of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, China.
Yuqian WangDepartment of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, China.
Liu YangDepartment of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neonatal hyperbilirubinemia is a common condition and a leading cause of hospitalization in newborns in their first week of life. Thus early identification of infants at risk is particularly important. In this study, we explored risk factors for its development of neonatal hyperbilirubinemia, and then constructed and validated an easy-to-use nomogram for the early prediction. Methods: This study was conducted retrospectively and non-interventionally, involving 646 neonates born at the Second Hospital of Dalian Medical University between January 2021 and January 2024. The study population was systematically partitioned through cluster sampling into a training set comprising of 454 neonates and a validation set of 192 neonates, adhering to a 7:3 ratio, utilizing the R-4.4.0 program. Independent predictors of neonatal hyperbilirubinemia were identified using least absolute shrinkage and selection operator (LASSO) regression from the training set, and a nomogram was constructed based on these predictors. The performance of the nomogram was assessed using receiver operating characteristic (ROC) curves, calibration curves and decision curve analysis (DCA). Results: Among 646 newborns, there were 350 males and 296 females, with a mean gestational age (GA) of 38.4 ± 1.4 weeks and birth weight (BW) of 3,264.1 ± 490.7 g. Six independent factors associated with hyperbilirubinemia were identified: GA, BW, premature rupture of membranes (PROM) ≥ 18 hours or concurrent maternal fever, maternal-infant blood type incompatibility with positive direct Coombs test, supplementation with probiotics, and weight loss > 9% within 3 days. Calibration curves indicated that the nomogram closely matched the actual observed values in both the training and validation sets. The areas under the ROC curves for predicting hyperbilirubinemia were 0.825 (95% confidence interval (CI) [0.777-0.874]) in the training set and 0.829 (95% CI [0.757-0.901]) in the validation set. DCA showed that the nomogram has clinical applicability. Conclusion: The nomogram constructed in this study has good differentiation, calibration and clinical applicability, and has the potential to be used for predicting neonatal hyperbilirubinemia.

Indexed as

Hyperbilirubinemia, NeonatalNomogramsBirth WeightFemaleGestational AgeHumansInfant, NewbornMalePredictive Value of TestsRetrospective StudiesRisk FactorsROC CurveHyperbilirubinemiaNeonateNomogramNon-invasive testPredictive model

Identifiers

PMID40936765
PMCPMC12422276

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.