Evidence map›Paper›PMID 35209705›Full record

ArticleEpidemiology and health2022

Recent trends in opioid prescriptions in Korea from 2002 to 2015 based on the Korean NHIS-NSC cohort.

Joungyoun Kim, Sang-Jun Shin, Jihyun Yoon, Hyeong-Seop Kim, Jae-Woo Lee, Ye-Seul Kim, Yonghwan Kim, Hyo-Sun You, Hee-Taik Kang

Open access · diamondAbstract read
In one paragraph

Article in Epidemiology and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  5. Assessment of Epidemiological Data and Surveillance in Korea Substance Use Research: Insights and Future Directions.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2024
    Review
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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

9 authors at 4 institutions in 1 country.

Joungyoun KimCollege of Nursing, Mo-Im Kim Nursing Research Institute, Yonsei University, Seoul, Korea.
Sang-Jun ShinDepartment of Information & Statistics, Chungbuk National University, Cheongju, Korea.
Jihyun YoonDepartment of Family Medicine, Yonsei University College of Medicine, Yongin, Korea.
Hyeong-Seop KimClinical Trials Center, Severance Hospital, Yonsei University Health System, Seoul, Korea.
Jae-Woo LeeDepartment of Family Medicine, Chungbuk National University Hospital, Cheongju, Korea.
Ye-Seul KimDepartment of Family Medicine, Chungbuk National University Hospital, Cheongju, Korea.
Yonghwan KimDepartment of Family Medicine, Chungbuk National University Hospital, Cheongju, Korea.
Hyo-Sun YouDepartment of Family Medicine, Chungbuk National University Hospital, Cheongju, Korea.
Hee-Taik KangDepartment of Family Medicine, Chungbuk National University Hospital, Cheongju, Korea.
Chungbuk National University Hospital · KRChungbuk National University · KRYonsei University · KRSeverance Hospital · KR

Funding

National Research Foundation of Korea 2019R1I1A3A01059886National Research Foundation of Korea 2021R1G1A1006485
6 · The paper itself

Abstract

objectivesOpioids are prescribed to treat moderate to severe pain. We investigated recent trends in opioid (morphine, oxycodone, fentanyl, and hydromorphone) prescriptions using data from the Korean National Health Insurance Service-National Sample Cohort between 2002 and 2015.

methodsThe morphine milligram equivalent (MME) was calculated to standardize the relative potency of opioids. The number (cases) or amount (MME) of annual opioid prescriptions per 10,000 registrants was computed to analyze trends in opioid prescriptions after age standardization. Joinpoint regression analysis was conducted to calculate the annual percentage change and average annual percentage change (AAPC).

resultsThe number (cases) of prescriptions per 10,000 registrants increased from 0.07 in 2002 to 41.23 in 2015 (AAPC, 76.0%; 95% confidence interval [CI], 61.6 to 91.7). The MME per 10,000 registrants increased from 15.06 in 2002 to 40,727.80 in 2015 (AAPC, 103.0%; 95% CI, 78.2 to 131.3). The highest AAPC of prescriptions and MME per 10,000 registrants were observed in the elderly (60-69 years) and in patients treated at general hospitals. Fentanyl prescriptions increased most rapidly among the 4 opioids.

conclusionsConsumption of opioids greatly increased in Korea over the 14-year study period.

Indexed as

Analgesics, OpioidPractice Patterns, Physicians'AgedDrug PrescriptionsFentanylHumansNational Health ProgramsOxycodonePrescriptionsAnalgesics, OpioidFentanylOxycodoneAnalgesicsFentanylHydromorphoneMorphineOpioidOxycodone

Identifiers

PMID35209705
PMCPMC9117092
OpenAlexW4213413722

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.