Evidence map›Paper›PMID 28639566›Full record

ArticleChinese medical journal2017

Research of Medical Expenditure among Inpatients with Unstable Angina Pectoris in a Single Center.

Suo-Wei Wu, Qi Pan, Tong Chen, Liang-Yu Wei, Yong Xuan, Qin Wang, Chao Li, Jing-Chen Song

Open access · goldAbstract read
In one paragraph

Article in Chinese medical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 9% of its field
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

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Observational
  2. Article
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  8. Reducing the Risk of Upcoding in DRG Grouping Through a Two-Stage DRG Grouper Based on Machine Learning.Inquiry : a journal of medical care organization, provision and financing
    Article
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

8 authors at 1 institution in 1 country.

Suo-Wei WuDepartment of Medical Administration, Beijing Hospital, National Center of Gerontology, Beijing 100730, China.
Qi PanDepartment of Medical Administration, Beijing Hospital, National Center of Gerontology, Beijing 100730, China.
Tong ChenDepartment of Medical Administration, Beijing Hospital, National Center of Gerontology, Beijing 100730, China.
Liang-Yu WeiDepartment of Medical Administration, Beijing Hospital, National Center of Gerontology, Beijing 100730, China.
Yong XuanDepartment of Medical Administration, Beijing Hospital, National Center of Gerontology, Beijing 100730, China.
Qin WangDepartment of Medical Administration, Beijing Hospital, National Center of Gerontology, Beijing 100730, China.
Chao LiDepartment of Medical Administration, Beijing Hospital, National Center of Gerontology, Beijing 100730, China.
Jing-Chen SongDepartment of Medical Administration, Beijing Hospital, National Center of Gerontology, Beijing 100730, China.
Beijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the rising incidence as well as the medical expenditure among patients with unstable angina pectoris, the research aimed to investigate the inpatient medical expenditure through the combination of diagnosis-related groups (DRGs) among patients with unstable angina pectoris in a Grade A tertiary hospital to conduct the referential standards of medical costs for the diagnosis.

methodsSingle-factor analysis and multiple linear stepwise regression method were used to investigate 3933 cases between 2014 and 2016 in Beijing Hospital (China) whose main diagnosis was defined as unstable angina pectoris to determine the main factors influencing the inpatient medical expenditure, and decision tree method was adopted to establish the model of DRGs grouping combinations.

resultsThe major influential factors of inpatient medical expenditure included age, operative method, therapeutic effects as well as comorbidity and complications (CCs) of the disease, and the 3933 cases were divided into ten DRGs by four factors: age, CCs, therapeutic effects, and the type of surgery with corresponding inpatient medical expenditure standards setup. Data of nonparametric test on medical costs among different groups were all significant (P < 0.001, by Kruskal-Wallis test), with R2 = 0.53 and coefficient of variation (CV) = 0.524.

conclusionsThe classification of DRGs by adopting the type of surgery as the main branch node to develop cost control standards in inpatient treatment of unstable angina pectoris is conducive in standardizing the diagnosis and treatment behaviors of the hospital and reducing economic burdens among patients.

Indexed as

Angina, UnstableChinaFemaleHealth ExpendituresHospitalizationHumansInpatientsLinear ModelsMaleMultivariate Analysis

Identifiers

PMID28639566
PMCPMC5494914
OpenAlexW2700496861

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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 OpenQuestion graph.