Evidence map›Paper›PMID 27329148›Full record

Trial reportScientific reports2016

Stroke in Traditional Korean Medicine: A Nine-Year Multicentre Community-Based Study in South Korea.

Mi Mi Ko, Ju Ah Lee, Min Ho Cha, Byoung-Kab Kang, Myeong Soo Lee

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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.

Mi Mi KoKM Fundamental Research Division, Korea Institute of Oriental Medicine, Daejeon 305-811, South Korea.
Ju Ah LeeKM Fundamental Research Division, Korea Institute of Oriental Medicine, Daejeon 305-811, South Korea.
Min Ho ChaKM Fundamental Research Division, Korea Institute of Oriental Medicine, Daejeon 305-811, South Korea.
Byoung-Kab KangKM Fundamental Research Division, Korea Institute of Oriental Medicine, Daejeon 305-811, South Korea.
Myeong Soo LeeClinical Research Division, Korea Institute of Oriental Medicine, Daejeon 305-811, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Korea, patients with stroke are commonly treated using traditional Korean medicine (TKM). The aim of this study was to provide information on the clinical characteristics of the pattern identification (PI) of stroke used in TKM. Stroke patients admitted to 15 TKM university hospitals from April 2005 through December 2013 were evaluated. The measured variables included the following factors as they related to the PI: (a) stroke etiology; (b) distribution of symptoms/signs; (c) physical characteristics and lifestyle parameters; (d) medical history; and (e) stroke-related laboratory results. Among 4912 stroke patients, 3466 patients received the same PI by two experts with the following distribution: Qi-Deficiency pattern (n = 810), Fire-Heat (FH) pattern (n = 1031), Dampness-Phlegm (DP) pattern (n = 1127), and Yin-Deficiency pattern (n = 498). Approximately 89.9% of subjects enrolled in this study had cerebral infarction. Some of specific symptoms were related to each type of PI, and obese phenotypes and blood lipids were significantly related to DP and FH. These results showed the characteristics of each type of PI and should lead to the standardization of diagnosis for stroke in TKM.

Indexed as

Medicine, Korean TraditionalAgedAged, 80 and overCerebral InfarctionFemaleHumansMaleMiddle AgedRepublic of KoreaStroke

Identifiers

PMID27329148
PMCPMC4916442

What OpenQuestion holds

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Registered trials

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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.