Evidence map›Paper›PMID 40910063›Full record

ArticleFrontiers in public health2025

Who determines nasopharyngeal carcinoma inpatients' medical expenditure? Importance factor ranking using the random forest model.

Pinghua Zhu, Yu Zhang, Lilian Huang, Bo Wei, Xiaoqiang Zhu, Pingping Zeng, Jingya Nong

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Pinghua ZhuSchool of Humanities and Social Science, Guangxi Medical University, Nanning, Guangxi, China.
Yu ZhangAffiliated Cancer Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Lilian HuangGuangxi Maternal and Child Health Hospital, Nanning, Guangxi, China.
Bo WeiGuangxi Hospital Association, Nanning, Guangxi, China.
Xiaoqiang ZhuAffiliated Cancer Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Pingping ZengNursing College, Guangxi Medical University, Nanning, Guangxi, China.
Jingya NongSchool of Humanities and Social Science (School of Public Administration), Beihang University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nasopharyngeal carcinoma (NPC) is a malignant epithelial tumor most commonly in China. In 2013, NPC incidence and mortality in China were also at high levels worldwide, which poses a great health burden in China. This study analyzes the medical expenditure and influencing factors of inpatients with NPC and aims to provide reference suggestions for reducing medical expenditure for NPC. Methods: Based on the data from one of the western China hospitals, we use the random forest model to identify the important factors in total medical expenditure, out-of-pocket costs, and the rates of out-of-pocket costs. Results: Total medical expenditure, out-of-pocket costs, and the rates of out-of-pocket costs were decreased. According to the indicators of InNodePurti and %IncMSE, the top three influencing factors of total medical expenditure and out-of-pocket costs are Length of stay, Medical payment method, and Readmission status; the top three influencing factors of the rates of out-of-pocket costs are Medical payment method, Occupation, and Age. Conclusion: Length of stay was an important factor in total medical expenditure and out-of-pocket costs, and the medical payment method was an important factor in the rates of out-of-pocket costs. To reduce the burden of NPC patients' medical expenditure, (1) we can reduce the length of stay by improving the level of medical technology; (2) increasing government medical expenditures and improving the level of medical security; (3)promoting smoking bans, and strengthening screening in high-risk areas.

Indexed as

Health ExpendituresHospitalizationNasopharyngeal CarcinomaNasopharyngeal NeoplasmsAdultChinaFemaleHumansInpatientsMaleMiddle AgedModels, EconomicRandom Forestnasopharyngeal carcinomaout-of-pocket costsrandom forest modelthe rates of out-of-pocket coststotal medical expenditure

Identifiers

PMID40910063
PMCPMC12406487

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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.