Evidence map›Paper›PMID 38045582›Full record

ArticleClinics in orthopedic surgery2023

Analysis of Long-Term Medical Expenses in Vertebral Fracture Patients.

Seung Hoon Kim, Suk-Yong Jang, Kyeongdong Nam, Yonghan Cha

Abstract read
In one paragraph

Article in Clinics in orthopedic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

6 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

4 authors.

Seung Hoon KimDepartment of Preventive Medicine, Eulji University School of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0002-7704-6213
Suk-Yong JangDepartment of Healthcare Management, Graduate School of Public Health, Yonsei University, Seoul, Korea.ORCID https://orcid.org/0000-0003-0558-1505
Kyeongdong NamDepartment of Orthopaedic Surgery, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea.ORCID https://orcid.org/0009-0008-5217-0171
Yonghan ChaDepartment of Orthopaedic Surgery, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0002-7616-6694

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The objective of this study was to analyze the direct medical expenses of a vertebral fracture cohort (VC) and a matched cohort (MC) over 5 years preceding and following the fracture, analyze the duration of the rise in medical expenses due to the fracture, and examine whether the expenses vary with age group, utilizing a national claims database. Methods: Subjects with vertebral fractures and matched subjects were chosen from the National Health Insurance Service Sample cohort (NHIS-Sample) of South Korea. Patients with vertebral fractures were either primarily admitted to acute care hospitals (index admissions) or those who received kyphoplasty or vertebroplasty during the follow-up period (2002-2015). A risk-set matching was performed using 1 : 5 random sampling to simulate a real-world situation. Individual-level direct medical expenses per quarter were calculated for 5 years prior and subsequent to the vertebral fracture. In this analysis using a comparative interrupted time series design, we examined the direct medical expenses of a VC and an MC. Results: A total of 3,923 incident vertebral fracture patients and 19,615 matched subjects were included in this study. The mean age was 75.5 ± 7.4 years, and 69.5% were women. The mean difference in medical expenses between the two groups increased steadily before the fracture. The medical expenses of the VC peaked in the first quarter following the fracture. The cost changes were 1.82 times higher for the VC than for the MC (95% confidence interval, 1.62-2.04; Conclusions: Based on our study results, we suggest that health and medical policies for vertebral fractures should be designed to last up to approximately 1 year after the fracture. Health policies should be differentiated according to age group.

Indexed as

Fractures, BoneFractures, CompressionKyphoplastyOsteoporotic FracturesSpinal FracturesVertebroplastyAgedAged, 80 and overFemaleHumansMaleRepublic of KoreaHealth care costsInterrupted time series analysisSpine fractureVertebral fracture

Identifiers

PMID38045582
PMCPMC10689215

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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.