Evidence map›Paper›PMID 35132326›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Herbal Medicine Prescriptions for Functional Dyspepsia: A Nationwide Population-Based Study in Korea.

Boram Lee, Eun Kyoung Ahn, Changsop Yang

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Boram LeeKM Science Research Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of Korea.ORCID https://orcid.org/0000-0003-1679-0644
Eun Kyoung AhnKM Data Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of Korea.ORCID https://orcid.org/0000-0003-1784-793X
Changsop YangKM Science Research Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of Korea.ORCID https://orcid.org/0000-0003-1277-3329
Korea Institute of Oriental Medicine · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHerbal medicine is widely used for the treatment of functional dyspepsia (FD) in East Asian countries. We aimed to analyze the prescription patterns of herbal medicine for patients with FD in Korean medicine clinical settings through the analysis of national health insurance claims data over the past 10 years and to check how herbal medicine has been used for FD within the scope of national health insurance.

methodsAll prescription data claimed to the Health Insurance Review and Assessment Service with the diagnosis of FD and herbal medicine prescriptions in 2010-2019 were reviewed. We estimated the demographics, clinical characteristics, and annual prescription amount and cost of each herbal medicine. Frequent comorbidities of FD were investigated by analyzing the frequency of the Korean standard classification of diseases codes used together with FD.

resultsIn total, 19,388,248 herbal medicine prescriptions were identified. Herbal medicine prescriptions were mostly claimed by women, the elderly, outpatients at Korean medicine clinics, and national health insurance; the number increased every year. The most frequently prescribed herbal medicine was

conclusionThis is the first study to investigate the disease burden and actual prescription pattern of herbal medicine for FD using claim data. Future clinical research and related healthcare policies should be established based on our study.

Identifiers

PMID35132326
PMCPMC8817847
OpenAlexW4212997066

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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.