Evidence map›Paper›PMID 25887924›Full record

ArticleBMC complementary and alternative medicine2015

Constitutional multicenter bank linked to Sasang constitutional phenotypic data.

Hee-Jeong Jin, Younghwa Baek, Ho-Seok Kim, Jonghyang Ryu, Siwoo Lee

Open access · goldAbstract read
In one paragraph

Article in BMC complementary and alternative medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.4field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

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  8. Investigating the Biomarkers of the Sasang Constitution via Network Pharmacology Approach.Evidence-based complementary and alternative medicine : eCAM · 2021
    Article
  9. Article
  10. Association between Resting Energy Expenditure and Heat Pattern in Traditional Medicine.Evidence-based complementary and alternative medicine : eCAM · 2020
    Article
  11. Article
  12. Article
  13. Metabolite Markers for Characterizing Sasang Constitution Type through GC-MS andEvidence-based complementary and alternative medicine : eCAM · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Relationship of the Cold-Heat Sensation of the Limbs and Abdomen with Physiological Biomarkers.Evidence-based complementary and alternative medicine : eCAM · 2016
    Article
  18. 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

5 authors at 1 institution in 1 country.

Hee-Jeong JinKM Health Technology Research Group, Korea Institute of Oriental Medicine, 461-24, Jeonmin-dong, Yuseong-gu, Daejeon, 305-811, South Korea. hjjin@kiom.re.kr.
Younghwa BaekKM Health Technology Research Group, Korea Institute of Oriental Medicine, 461-24, Jeonmin-dong, Yuseong-gu, Daejeon, 305-811, South Korea. aori79@kiom.re.kr.
Ho-Seok KimKM Health Technology Research Group, Korea Institute of Oriental Medicine, 461-24, Jeonmin-dong, Yuseong-gu, Daejeon, 305-811, South Korea. hodol9980@kiom.re.kr.
Jonghyang RyuKM Health Technology Research Group, Korea Institute of Oriental Medicine, 461-24, Jeonmin-dong, Yuseong-gu, Daejeon, 305-811, South Korea. jhyoo@kiom.re.kr.
Siwoo LeeKM Health Technology Research Group, Korea Institute of Oriental Medicine, 461-24, Jeonmin-dong, Yuseong-gu, Daejeon, 305-811, South Korea. bfree@kiom.re.kr.
Korea Institute of Oriental Medicine · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiobanks are more important in medical area because they can give researchers data for demonstrating and validating their research. In this study, we developed a biobank called the Korea Constitutional Multicenter Bank (KCMB) based on Sasang Constitutional Medicine (SCM). The aim of the KCMB was a foundation to providing the scientific basis of SCM.

methodsThe KCMB has been constructed since 2006 in 24 Korean medical clinics with collection of questionnaire data, physical measurements and biological information comprised the results from blood test and DNA analyses. All participants were prescribed Sasang Constitution (SC)-specific herbal remedies for the treatment, and showed improvement of original symptoms as confirmed by Korean medicine doctor. Collected data went through de-identification process using the electronic case report form system. For calculation of several SC type specific tendencies, we used the direct standardization and Chi-square tests.

resultsThe KCMB collected clinical information from 3,711 study participants (1,353 men and 2,358 women) aged more than 10 years. The mean age (± standard deviation) was 47.1 (±16.6) and 47.7 (±15.8) years for men and women respectively. After applying the direct standardization, the estimated constitutional distributions for the SC types were as follows: 39.2% for Tae-eumin(TE), 27.1% for Soeumin(SE), 33.7% for Soyangyin(SY), and non-zero but below 0.1% for Taeyangyin(TY). The estimated distribution of TE was about 10% less, while that of SY and SE were slightly more than the distribution reported by Jema Lee established the SCM. Based on the participants' medical history within the KCMB, each SC type had notably different frequencies for some diseases such as hypertension, diabetes, hyperlipidemia, stroke, and obesity (P < 0.001).

conclusionsThe KCMB may serve to verify and validate SCM theories and practices. It may also provide new insights into SCM mechanisms. The results from many studies using the KCMB data are of great importance and value for making decisions in healthcare policy and developing novel therapies.

Indexed as

Body ConstitutionDatabases, FactualMedicine, Korean TraditionalAdultAgedAsian PeopleDatasets as TopicDNAFemaleHematologic TestsHumansMaleMiddle AgedPhenotypeRepublic of KoreaStrokeDNA

Identifiers

PMID25887924
PMCPMC4378550
OpenAlexW2100715119

What OpenQuestion holds

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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.