ArticleBioengineering (Basel, Switzerland)2023
Predictive Analysis of Hospital Stay after Caesarean Section: A Single-Center Study.
Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 47 citations in OpenAlex.
- Use of artificial intelligence to study the hospitalization of women undergoing caesarean section.BMC public health · 2025Article
- Investigation of emergency department abandonment rates using machine learning algorithms in a single centre study.Scientific reports · 2024Article
- The classification algorithms to support the management of the patient with femur fracture.BMC medical research methodology · 2024Article
- Multiple Cesarean Section Outcomes and Complications: A Retrospective Study in Jazan, Saudi Arabia.Healthcare (Basel, Switzerland) · 2023Article
- Classification and regression model to manage the hospitalization for laparoscopic cholecystectomy.Scientific reports · 2023Article
- Towards a positive postnatal experience in Sub-Saharan African countries: the receipt of adequate services during the immediate postpartum period: a multilevel analysis.Frontiers in public health · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Caesarean section (CS) rate has seen a significant increase in recent years, especially in industrialized countries. There are, in fact, several causes that justify a CS; however, evidence is emerging that non-obstetric factors may contribute to the decision. In reality, CS is not a risk-free procedure. The intra-operative, post-pregnancy risks and risks for children are just a few examples. From a cost point of view, it must be considered that CS requires longer recovery times, and women often stay hospitalized for several days. This study analyzed data from 12,360 women who underwent CS at the "San Giovanni di Dio e Ruggi D'Aragona" University Hospital between 2010 and 2020 by multiple regression algorithms, including multiple linear regression (MLR), Random Forest, Gradient Boosted Tree, XGBoost, and linear regression, classification algorithms and neural network in order to study the variation of the dependent variable (total LOS) as a function of a group of independent variables. We identify the MLR model as the most suitable because it achieves an
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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.