ArticleMedicina (Kaunas, Lithuania)2020
Artificial Neural Network and Cox Regression Models for Predicting Mortality after Hip Fracture Surgery: A Population-Based Comparison.
Article in Medicina (Kaunas, Lithuania), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled 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.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Artificial Intelligence for Hip Fracture Detection and Outcome Prediction: A Systematic Review and Meta-analysis.JAMA network open · 2023Pooled it
- Application of artificial neural networks to evaluate femur development in the human fetus.PloS one · 2024Article
- Machine learning applications for the prediction of extended length of stay in geriatric hip fracture patients.World journal of orthopedics · 2023Article
- Survival prediction and prognostic factors in colorectal cancer after curative surgery: insights from cox regression and neural networks.Scientific reports · 2023Article
- Determinants of Inadequate Empiric Antimicrobial Therapy in ICU Sepsis Patients in Al-Madinah Al-Munawwarah, Saudi Arabia: A Comparison of Artificial Neural Network and Regression Analysis.Antibiotics (Basel, Switzerland) · 2023Article
- Use of artificial neural networks in the prognosis of musculoskeletal diseases-a scoping review.BMC musculoskeletal disorders · 2023Article
- Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.BMC geriatrics · 2022Article
- Implementation of a machine learning application in preoperative risk assessment for hip repair surgery.BMC anesthesiology · 2022Article
- Pilot Project for a Web-Based Dynamic Nomogram to Predict Survival 1 Year After Hip Fracture Surgery: Retrospective Observational Study.Interactive journal of medical research · 2022Article
- Classification Performance of Neural Networks Versus Logistic Regression Models: Evidence From Healthcare Practice.Cureus · 2022Review
- Status quo and future prospects of artificial neural network from the perspective of gastroenterologists.World journal of gastroenterology · 2021Review
- Predictive Values of Preoperative Characteristics for 30-Day Mortality in Traumatic Hip Fracture Patients.Journal of personalized medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
This study purposed to validate the accuracy of an artificial neural network (ANN) model for predicting the mortality after hip fracture surgery during the study period, and to compare performance indices between the ANN model and a Cox regression model. A total of 10,534 hip fracture surgery patients during 1996-2010 were recruited in the study. Three datasets were used: a training dataset (
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.