ArticleWorld journal of clinical cases2020
Research on diagnosis-related group grouping of inpatient medical expenditure in colorectal cancer patients based on a decision tree model.
Article in World journal of clinical cases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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
24 citing papers in PubMed.
- Machine learning-driven prediction of healthcare resource trends and optimal allocation strategies: a data-driven approach.BMC health services research · 2026Article
- The impact of unplanned reoperation on clinical and economic outcomes among hospitalized surgical patients: a DRG-adjusted real-world retrospective cohort study.BMC health services research · 2026Article
- Hospitalization expenses for radical prostatectomy in a tertiary hospital in China: a quantile regression and CHAID decision tree analysis.BMC health services research · 2026Article
- An empirical study of diagnosis-related group classification for hospitalization costs in lumbar disk herniation patients treated in Chinese medicine hospitals in China.Frontiers in public health · 2026Article
- A real-world study on the influence of unplanned reoperations on hospitalized patients using the diagnosis-related group.Annals of medicine · 2025Article
- A tree-structured multiobjective optimization framework for constructing diagnosis-related groups.NPJ digital medicine · 2025Article
- MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction.BMC bioinformatics · 2025Article
- A study on the impact of DRG payment on physicians' prescribing behavior in China: a case study of a healthcare consortium in J City.Frontiers in public health · 2025Article
- Two-stage DRG grouping of cerebral infarction based on comorbidity and complications classification.Frontiers in public health · 2025Article
- Impact of Diagnosis-Related Groups (DRG) reform on cost homogeneity of treatment for patients with malignant tumours.Scientific reports · 2024Article
- Development of a System for Predicting Hospitalization Time for Patients With Traumatic Brain Injury Based on Machine Learning Algorithms: User-Centered Design Case Study.JMIR human factors · 2024Article
- Prediction and the influencing factor study of colorectal cancer hospitalization costs in China based on machine learning-random forest and support vector regression: a retrospective study.Frontiers in public health · 2024Article
- Optimization of Diagnosis-Related Groups for 14,246 Patients with Uterine Leiomyoma in a Single Center in Western China Using a Machine Learning Model.Risk management and healthcare policy · 2024Article
- A Bibliometric Analysis of Diagnosis Related Groups from 2013 to 2022.Risk management and healthcare policy · 2023Review
- Does the disclosure of medical insurance information affect patients' willingness to adopt the diagnosis related groups system.Frontiers in public health · 2023Article
- A lung cancer risk warning model based on tongue images.Frontiers in physiology · 2023Article
- Performance assessment of medical service for organ transplant department based on diagnosis-related groups: A programme incorporating ischemia-free liver transplantation in China.Frontiers in public health · 2023Article
- Application of DRGs in hospital medical record management and its impact on service quality.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2022Article
- Study of Hospitalization Costs in Patients with Cerebral Ischemia Based on E-CHAID Algorithm.Journal of healthcare engineering · 2022Article
- DeepDRG: Performance of Artificial Intelligence Model for Real-Time Prediction of Diagnosis-Related Groups.Healthcare (Basel, Switzerland) · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 2018, the diagnosis-related groups prospective payment system (DRGs-PPS) was introduced in a trial operation in Beijing according to the requirements of medical and health reform. The implementation of the system requires that more than 300 disease types pay through the DRGs-PPS for medical insurance. Colorectal cancer (CRC), as a common malignant tumor with high prevalence in recent years, was among the 300 disease types.
aimTo investigate the composition and factors related to inpatient medical expenditure in CRC patients based on disease DRGs, and to provide a basis for the rational economic control of hospitalization expenses for the diagnosis and treatment of CRC.
methodsThe basic material and cost data for 1026 CRC inpatients in a Grade-A tertiary hospital in Beijing during 2014-2018 were collected using the medical record system. A variance analysis of the composition of medical expenditure was carried out, and a multivariate linear regression model was used to select influencing factors with the greatest statistical significance. A decision tree model based on the exhaustive
resultsThe average hospital stay of the 1026 CRC patients investigated was 18.5 d, and the average hospitalization cost was 57872.4 RMB yuan. Factors including age, gender, length of hospital stay, diagnosis and treatment, as well as clinical operations had significant influence on inpatient expenditure (
conclusionIt is important to strengthen the control over the use of drugs and management of the hospitalization process, surgery, diagnosis and treatment to reduce the economic burden on patients. Tailored adjustments to medical payment standards should be made according to the characteristics and treatment of disease types to improve the comprehensiveness and practicability of the DRGs-PPS.
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.