Development and Validation of a Nomogram for Predicting Pathological Intussusceptions in Children Prior to Surgical Intervention

Xu, Ting; Duan, Xufei; Liu, Jiangbin; Xu, Weijue; Lv, Zhibao; Ye, Guogang

doi:10.3389/fped.2022.877358

Cited by 6 publications

(7 citation statements)

References 34 publications

(44 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To our best knowledge, there are few studies focusing on the development of nomograms for intussusceptions. Recently, Ting et al ( 14 ) developed a nomogram to predict pathological intussusceptions in children. Episode time, mass length and infection history were identified as the independent predictors ( 14 ).…”

Section: Discussionmentioning

confidence: 99%

“…Recently, Ting et al ( 14 ) developed a nomogram to predict pathological intussusceptions in children. Episode time, mass length and infection history were identified as the independent predictors ( 14 ). In the present study, we used multiple logistic regression analysis to develop a preoperative nomogram that predicted surgical intervention for pediatric intussusception after hydrostatic reduction.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Developing a nomogram for predicting surgical intervention in pediatric intussusception after hydrostatic reduction

Wang

Xia

et al. 2023

Front. Pediatr.

View full text Add to dashboard Cite

PurposeThe aim of this study was to develop and validate a nomogram for predicting surgical intervention in pediatric intussusception after hydrostatic reduction.MethodsChildren with intussusception who had treated with sonographically guided saline hydrostatic reduction as an initial treatment were enrolled in this study. The enrolled patients were randomly selected for training and validation sets, and the split ratio was 7:3. The medical records of enrolled patients were retrospectively reviewed. The patients were divided into a surgery and a non-surgery group according to the results of the nonsurgical reduction. A model for predicting the risk of surgical treatment was virtualized by the nomogram using logistic regression analysis.ResultsThe training set consisted of 139 patients and the validation set included 74. After logistic regression analysis using training set, duration of symptoms, bloody stools, white blood cells (WBCs), creatine kinase isoenzyme (CK-MB), long-axis diameter, poor prognostic signs by ultrasound and mental state were identified as the independent predictors of surgical intervention for intussusception. A model that incorporated the above independent predictors was developed and presented as a nomogram. The C-index of the nomogram in the validation set was 0.948 (95% CI, 0.888–1.000). The calibration curve demonstrated a good agreement between prediction and observation. The decision curve analysis (DCA) curve showed that the model achieved a net benefit across all threshold probabilities.ConclusionBased on the predictors of duration of symptoms, bloody stools, WBCs, CK-MB, long-axis diameter, poor prognostic signs by ultrasound and mental state, we developed a nomogram for predicting surgical intervention after hydrostatic reduction. This nomogram could be applied directly to facilitate pre-surgery decision for pediatric intussusception.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Developing a nomogram for predicting surgical intervention in pediatric intussusception after hydrostatic reduction

Wang

Xia

et al. 2023

Front. Pediatr.

View full text Add to dashboard Cite

show abstract

“… 21 , 22 However, there is a scarcity of reports on nomogram prediction models for intussusception, with most studies being single-center studies. For instance, Ting et al 18 conducted a study with 368 patients undergoing intussusception surgery and developed a nomogram to predict pathological intussusception in children. They identified timing of onset, mass length, and history of infection as independent predictors.…”

Section: Discussionmentioning

confidence: 99%

Developing a Nomogram for Predicting Surgical Intervention in Pediatric Intussusception After Pneumatic Reduction: A Multicenter Study from China

Liu,

Wang,

Jiang

et al. 2024

TCRM

View full text Add to dashboard Cite

Purpose The objective of this study was to develop and validate a nomogram for predicting the need for surgical intervention in pediatric intussusception after pneumatic reduction. Patients and Methods This retrospective study analyzed the clinical data of children with acute intussusception admitted to four hospitals in China from January 2019 to January 2022. Based on the results of pneumatic reduction, the patients were divided into two groups: the successful reduction group (control group) and the failed reduction group (operation group). The total sample was randomly divided into a training set and a validation set in a 7:3 ratio. Logistic regression analysis was performed to establish a predictive model for surgical risk. Results A total of 1041 samples were included in this study, with 852 in the control group and 189 in the operation group. Among the total sample, 728 cases were used for training and 313 cases were used for validation. Logistic regression analysis of the training set identified age, time of abdominal pain, presence or absence of hematostoecia, C-reactive protein value from blood test on admission, and nested position indicated by B-ultrasound as independent predictors of intussusception intervention. Based on the five independent risk factors identified through multivariate logistic regression, a nomogram was successfully constructed to predict the failure of resetting by air enema under X-ray. Conclusion A nomogram was developed to predict the need for surgical intervention after intussusception pneumatic reduction in children. The nomogram was based on clinical risk factors including age, time of abdominal pain, presence or absence of blood in stool, value of C-reactive protein in blood test on admission, and nested position indicated by B-ultrasound. Our internal validation demonstrated that this nomogram can serve as a useful tool for identifying risk factors associated with failure of air enema in children with intussusception.

show abstract

“…Over time, nomogram is no longer limited to the study of oncology, but more applied to the study of diagnosis and prediction of non-tumor-related diseases. For example, nomograms were used to analyze the correlation between factors in genomics or proteomics and the development and progression of diseases ( 32 – 34 ); Nomograms were used to predict adverse outcomes in obstetrics or reproductive medicine ( 35 – 38 ); it can also be combined with radiomics to analyze the relationship between different image features or image segmentation factors and disease diagnosis ( 39 , 40 ), predict chronic disease incidence in orthopedics ( 41 – 43 ), or analyze and detect the incidence of chronic diseases combined with metabolomics ( 37 ). In addition, the display modes of nomogram are gradually diversified.…”

Section: Discussionmentioning

confidence: 99%

From past to future: Bibliometric analysis of global research productivity on nomogram (2000–2021)

Wang

Song

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

BackgroundNomogram, a visual clinical predictive model, provides a scientific basis for clinical decision making. Herein, we investigated 20 years of nomogram research responses, focusing on current and future trends and analytical challenges.MethodsWe mined data of scientific literature from the Core Collection of Web of Science, searching for the original articles with title “Nomogram*/Parton Table*/Parton Nomogram*”, published within January 1st, 2000 to December 30th, 2021. Data records were validated using HistCite Version and analyzed with a transformable statistical method, the Bibliometrix 3.0 package of R Studio.ResultsIn total, 4,176 original articles written by 19,158 authors were included from 915 sources. Annually, Nomogram publications are continually produced, which have rapidly grown since 2018. China published the most articles; however, its total citations ranked second after the United States. Both total citations and average article citations in the United States rank first globally, and a high degree of cooperation exists between countries. Frontiers in Oncology published the most papers (238); this number has grown rapidly since 2019. Journal of Urology had the highest H-index, with an average increase in publications over the past 20 years. Most research topics were tumor-related, among which tumor risk prediction and prognostic evaluation were the main contents. Research on prognostic assessment is more published and advanced, while risk prediction and diagnosis have good developmental prospects. Furthermore, nomogram of the urinary system has been highly developed. Following advancements in nomogram modeling, it has recently been applied to non-oncological subjects.ConclusionThis bibliometric analysis provides a comprehensive overview of the current nomogram status, which could enable better understanding of its development over the years, and provide global researchers a comprehensive analysis and structured information to help identify hot spots and gaps in future research.

show abstract

Development and Validation of a Nomogram for Predicting Pathological Intussusceptions in Children Prior to Surgical Intervention

Cited by 6 publications

References 34 publications

Developing a nomogram for predicting surgical intervention in pediatric intussusception after hydrostatic reduction

Developing a nomogram for predicting surgical intervention in pediatric intussusception after hydrostatic reduction

Developing a Nomogram for Predicting Surgical Intervention in Pediatric Intussusception After Pneumatic Reduction: A Multicenter Study from China

From past to future: Bibliometric analysis of global research productivity on nomogram (2000–2021)

Contact Info

Product

Resources

About