Evidence map›Paper›PMID 38413889›Full record

ArticleBMC pediatrics2024

Risk factor analysis and nomogram prediction model construction for NEC complicated by intestinal perforation.

Pei Huang, Nandu Luo, Xiaoqi Shi, Jiahong Yan, Jiaojiao Huang, Yan Chen, Zuochen Du

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 17% of its field
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

9 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  3. [Recent advances in predicting the surgical timing for neonatal necrotizing enterocolitis].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026
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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 at 3 institutions in 1 country.

Pei HuangDepartment of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Nandu LuoDepartment of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Xiaoqi ShiDepartment of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Jiahong YanDepartment of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Jiaojiao HuangDepartment of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Yan ChenDepartment of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China. cyz600@163.com.
Zuochen DuDepartment of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China. dzc9036@126.com.
First People’s Hospital of Zunyi · CNZunyi Medical University · CNAffiliated Hospital of Zunyi Medical College · CN

Funding

Collaborative Innovation Center of Chinese Ministry of Education JKJTH-2020‑39Guizhou Provincial Science and Technology Projects QKHPTRC‑CXTD[2021]010National Natural Science Foundation of China 82260036
6 · The paper itself

Abstract

objectiveTo investigate the clinical characteristics of neonatal necrotizing enterocolitis (NEC) complicated by intestinal perforation and predict the incidence of intestinal perforation in NEC.

methodsNeonates diagnosed with NEC at the Affiliated Hospital of Zunyi Medical University from January 2012 to May 2022 were enrolled, and the clinical data were collected and analyzed retrospectively. The patients were divided into two groups based on intestinal perforation occurrence or not. Mann-Whitney U tests, t-tests, chi-square tests, and fisher's exact tests were performed between-group comparisons. Logistic and lasso regressions were applied to screen independent risk factors for concomitant bowel perforation, and R software (RMS package) was used to formulate the nomogram prediction model. In addition, the receiver operating curve (ROC) and the calibration curve were drawn to verify the predictive power, while decision curve analysis (DCA) was constructed to evaluate the clinical applicability of the nomogram model.

resultsOne hundred eighty neonates with NEC were included, of which 48 had intestinal perforations, and 132 did not; the overall incidence of intestinal perforation was 26.67% (48/180). Bloody stool (OR = 5.60), APTT ≥ 50 s (OR = 3.22), thrombocytopenia (OR = 4.74), and hypoalbuminemia (OR = 5.56) were identified as independent risk variables for NEC intestinal perforation (P < 0.05) through multivariate logistic regression analysis. These factors were then applied to develop a nomogram prediction model (C-index = 0.838) by using the R software. The area under the curve (AUC) for the nomogram in the training and validation cohorts were 0.838 (95% Cl: 0.768, 0.908) and 0.802 (95% CI: 0.659, 0.944), respectively. The calibration curve shown that the nomogram has a good predictive ability for predicting the risk of intestinal perforation occurrence. And the decision curve and clinical impact curve analyses demonstrated good clinical utility of the nomogram model.

conclusionWe found that Bloody stool, APTT ≥ 50 s, Thrombocytopenia, and hypoalbuminemia could be used as independent risk factors for predicting intestinal perforation in neonates with NEC. The nomogram model based on these variables had high predictive values to identify NEC patients with intestinal perforation.

Indexed as

HypoalbuminemiaIntestinal PerforationThrombocytopeniaFactor Analysis, StatisticalHumansInfant, NewbornNomogramsRetrospective StudiesRisk FactorsIntestinal perforationNecrotizing enterocolitisNeonateNomogramRisk factor

Identifiers

PMID38413889
PMCPMC10898055
OpenAlexW4392200377

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LicenceCC BY
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Registered trials

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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.