Evidence map›Paper›PMID 36302935›Full record

ArticleScientific reports2022

Patterns of patients with polypharmacy in adult population from Korea.

Woo-Young Shin, Tae-Hwa Go, Dae Ryong Kang, Sei Young Lee, Won Lee, Seonah Kim, Jiewon Lee, Jung-Ha Kim

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors at 3 institutions in 1 country.

Woo-Young ShinDepartment of Family Medicine, Chung-Ang University College of Medicine, Seoul, Republic of Korea.
Tae-Hwa GoDepartment of Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
Dae Ryong KangDepartment of Precision Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
Sei Young LeeDepartment of Otorhinolaryngology-Head and Neck Surgery, Chung-Ang University College of Medicine, Seoul, Republic of Korea.
Won LeeDepartment of Nursing, Chung-Ang University, Seoul, Republic of Korea.
Seonah KimDepartment of Family Medicine, Health Promotion Center, Chung-Ang University Hospital, Seoul, Republic of Korea.
Jiewon LeeDepartment of Family Medicine, Chung-Ang University College of Medicine, 102 Heukseok-ro, Dongjak-gu, Seoul, 06973, Republic of Korea.
Jung-Ha KimDepartment of Family Medicine, Chung-Ang University College of Medicine, 102 Heukseok-ro, Dongjak-gu, Seoul, 06973, Republic of Korea. girlpower219@cau.ac.kr.
Chung-Ang University · KRYonsei University · KRChung-Ang University Hospital · KR

Funding

National Health Insurance Service 2020-2-0006
6 · The paper itself

Abstract

Polypharmacy and its rising global prevalence is a growing public health burden. Using a large representative nationwide Korean cohort (N = 761,145), we conducted a retrospective cross-sectional study aiming to identify subpopulations of patients with polypharmacy and characterize their unique patterns through cluster analysis. Patients aged ≥ 30 years who were prescribed at least one medication between 2014 and 2018 were included in our study. Six clusters were identified: cluster 1 mostly included patients who were hospitalized for a long time (4.3 ± 5.3 days); cluster 2 consisted of patients with disabilities (100.0%) and had the highest mean number of prescription drugs (7.7 ± 2.8 medications); cluster 3 was a group of low-income patients (99.9%); cluster 4 was a group of high-income patients (80.2%) who frequently (46.4 ± 25.9 days) visited hospitals/clinics (7.3 ± 2.7 places); cluster 5 was mostly elderly (74.9 ± 9.8 years) females (80.3%); and cluster 6 comprised mostly middle-aged (56.4 ± 1.5 years) males (88.6%) (all P < 0.001). Patients in clusters 1-5 had more prescribed medications and outpatient visit days than those in cluster 6 (all P < 0.001). Given limited health care resources, individuals with any of the identified phenotypes may be preferential candidates for participation in intervention programs for optimal medication use.

Indexed as

PolypharmacyPrescription DrugsCross-Sectional StudiesFemaleHospitalizationHumansMaleRetrospective StudiesPrescription Drugs

Identifiers

PMID36302935
PMCPMC9613698
OpenAlexW4307444958

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.