Evidence map›Paper›PMID 28326302›Full record

ArticleJournal of bone metabolism2017

Characteristics of Patients Diagnosed with Osteoporosis in South Korea: Results from the National Claim Registry.

Hyun Koo Yoon, Young-Kyun Lee, Yong-Chan Ha

Abstract read
In one paragraph

Article in Journal of bone metabolism, 2017. 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
1.1field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Effect ofNutrients · 2022
    Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. 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

3 authors at 3 institutions in 1 country.

Hyun Koo YoonDepartment of Internal Medicine, Cheil General Hospital & Women's Healthcare Center, Dankook University College of Medicine, Seoul, Korea.
Young-Kyun LeeDepartment of Orthopaedic Surgery, Seoul National University Bundang Hospital, Seongnam, Korea.
Yong-Chan HaDepartment of Orthopaedic Surgery, Chung-Ang University College of Medicine, Seoul, Korea.
Cheil General Hospital and Women's Healthcare Center · KRChung-Ang University · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough osteoporosis is increasing medical issue in the elderly population, attempts to analyze the characteristics of patients diagnosed with osteoporosis are rare in South Korea. We investigated the characteristics of patients diagnosed with osteoporosis using Korea's National Health Insurance claims data, which includes almost Korean population.

methodsWe evaluated the patients who were diagnosed and treated with osteoporosis in medical institute in South Korea, using the national database by the Health Insurance Review & Assessment Service (HIRA). We evaluated the characteristic of patients and state of medical service utilization in 2010.

resultsThe number of patients who were diagnosed with osteoporosis were 1,733,685, and almost of them (91.1%) were females. Fourteen point three percent of the patients had experienced osteoporosis-related fracture. The most commonly used type of institute and department was hospital and orthopedic surgery.

conclusionsConsidering increasing age population, basic information including characteristic of patients and current state of medical service utilization could be useful to perform appropriate management and treatment for osteoporosis patients in South Korea, using the National Health Insurance claims data.

Indexed as

National health programsOsteoporosisOsteoporotic fracturesRepublic of Korea

Identifiers

PMID28326302
PMCPMC5357613
OpenAlexW2597304392

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.