Evidence map›Paper›PMID 36731463›Full record

ArticleCancer research and treatment2023

Recent Trends of Medical Expenses Associated with Radiation Therapy in Korea Based on HIRA Big Data.

Jeong Eun Lee, Kyungmi Yang, Yong Chan Ahn, Won Park, Seung Jae Huh

Abstract read
In one paragraph

Article in Cancer research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Jeong Eun LeeDepartment of Radiation Oncology, Kyungpook National University, School of Medicine, Daegu, Korea.
Kyungmi YangDepartment of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Yong Chan AhnDepartment of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Won ParkDepartment of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seung Jae HuhHealthcare Review and Assessment Committee, Health Insurance Review and Assessment Service, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to determine the trends in the use of radiotherapy (RT) and the expenses associated with it in South Korea. Materials and Methods: The statistical data of the claims and reimbursement records provided on the Health and Insurance Review and Assessment Service website were utilized. This included information such as the number of patients, fractions, medical expenses according to treatment codes, in/outpatient, sex, age, and regions of hospitals. We analyzed data from 2016 to 2020.

resultsWith a growing RT infrastructure and an increase in the number of radiation oncologists, the expenses for RT were 605.5 million USD in 2020, which had increased 1.5 times from 394.7 million USD in 2016. This growth was mainly because of the increased usage of advanced RT techniques. Furthermore, the proportion of intensity-modulated radiation therapy (IMRT) expenses in the total expenses increased by 1.6 times from 48.8% in 2016 to 76.9% in 2020. Advanced techniques were used more commonly in older individuals or children. However, the proportion of IMRT expenses increased mostly in young women. Additionally, geographical differences in RT use and expense were observed, although the gap in the IMRT fractions decreased among the regions.

conclusionRecent medical expenses associated with RT in Korea have increased in tandem with technological advances and changes in demographics.

Indexed as

Radiation OncologyRadiotherapy, Intensity-ModulatedAgedBig DataCell Cycle ProteinsChildFemaleHistone ChaperonesHospitalsHumansRepublic of KoreaTranscription FactorsCell Cycle ProteinsHIRA protein, humanHistone ChaperonesTranscription FactorsHealth care costsIntensity-modulatedPopulation dynamicsRadiotherapy

Identifiers

PMID36731463
PMCPMC10372580

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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.