Evidence map›Paper›PMID 39987188›Full record

ArticleScientific reports2025

Diagnosis-related groups study of uterine leiomyoma patients based on E-CHAID.

Zhi Zou, Dan Deng

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  1. Article
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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

2 authors.

Zhi ZouSchool of Public Health, Chongqing Medical University, Youyi Road 1, Chongqing, 400016, China.
Dan DengSchool of Public Health, Chongqing Medical University, Youyi Road 1, Chongqing, 400016, China. 100079@cqmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis-related groups (DRG) is emerging as an effective tool for measuring the quality and efficiency of medical services. This study aims to explore a DRG combination scheme for control the hospitalization costs in patients with uterine leiomyoma (UL). This study enrolled a total of 3087 UL patients from a tertiary hospital in Chongqing between year 2017 and 2021. The data of front sheet of the medical record of each UL patient were retrospectively extracted. Mann-Whitney U test and Kruskal-Wallis H test, and subsequent multivariate logistic regression analysis were used to identify the significant factor influencing the hospitalization cost. Then, a decision tree model was performed to establish the DRG case mix model, and to calculate the payment standards and cost caps for each DRG group. The average age of all patients was 43.03 years old, the average length of stay (LOS) was 6.66 days, and the average total hospitalization cost was 22,436.11 yuan. The highest proportion of the total hospitalization cost was treatment cost (29.46%), followed by diagnostic cost (28.98%), consumable cost (26.01%), etc. Factors including surgery type, LOS, and complications or comorbidities had significant impact on hospitalization costs, among which surgery type were the main influencing factor. Using the three factors as classification nodes, a total of 10 DRG groups were established by a decision tree model. The value of reduction in variance was 0.68, indicating significant heterogeneity between groups. The coefficient of variation for hospitalization costs ranged from 0.08 to 0.44, indicating minimal variation and reasonable grouping result. The established hospitalization cost scheme for patients with UL is reasonable in this study. It provides a reference for the advancement and implementation of DRG payments in local area.

Indexed as

Diagnosis-Related GroupsLeiomyomaUterine NeoplasmsAdultChinaDecision TreesFemaleHospital CostsHospitalizationHumansLength of StayMiddle AgedRetrospective StudiesDecision treeDiagnosis-related groupsE-CHAIDUterine leiomyoma

Identifiers

PMID39987188
PMCPMC11846877

What Socratic holds

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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 Socratic graph.