Evidence map›Paper›PMID 40703943›Full record

ArticleEwha medical journal2023

Epidemiology and Etiology of Elbow Pain Based on the Healthcare Bigdata Hub in Korea: A Longitudinal Observational Study.

Hyungsuk Kim, Taeyang Jang

Abstract read
In one paragraph

Article in Ewha medical journal, 2023. 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

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

1 citing paper in PubMed.

  1. Mission and Goals of the New Editor of theEwha medical journal · 2023
    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

2 authors.

Hyungsuk KimDepartment of Orthopedic Surgery, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-3400-0263
Taeyang JangDepartment of Orthopedic Surgery, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-3805-2167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study investigated the epidemiological and etiological trends associated with elbow pain over the past decade in South Korea. Methods: Nationwide health statistics data from 2011 to 2020 pertaining to elbow pain-related diseases and soft tissue damages were sourced from the Healthcare Bigdata Hub with disease codes M771 (lateral epicondylitis), M770 (medial epicondylitis), S53 (elbow injury, dislocation, sprain), and G56 (mononeuropathies of the upper limb). The study assessed the annual fluctuations in the total medical cost and the number of patients associated with these codes. Trends over time were characterized by evaluating the crude and age-standardized prevalence rates and the annual percentage change. Changes in the proportion of medical expenses based on age distribution were also investigated. Results: A significant surge in medical costs was observed across all four codes. The M771, M770, and G56 codes experienced a pronounced increase in crude and age-standardized prevalence. Conversely, only S53 registered a significant drop in age-standardized prevalence. Moreover, within the total medical expenditures for the M771 code, the age bracket of 50 to 59 represented the largest proportion. Conclusion: The data suggest that the average age of patients reporting elbow pain is rising. Given this shifting trend in South Korea's health statistics concerning elbow pain, there will be an increasing need for socioeconomic support, which will in turn necessitate improving health policies that address allocating medical expenses and resources for elbow pain.

Indexed as

Elbow tendinopathyHealth expendituresPrevalenceRepublic of KoreaSprains and strains

Identifiers

PMID40703943
PMCPMC12093584

What OpenQuestion holds

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LicenceCC BY-NC
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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.