Evidence map›Paper›PMID 33384923›Full record

ReviewIntegrative medicine research2021

Clinical reasoning in traditional medicine exemplified by the clinical encounter of Korean medicine: a narrative review.

Tae-Hun Kim, Terje Alraek, Zhao-Xiang Bian, Stephen Birch, Mark Bovey, Juah Lee, Myeong Soo Lee, Nicola Robinson, Christopher Zaslawski

Abstract readReview
In one paragraph

Review in Integrative medicine research, 2021. 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
–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

4 citing papers in PubMed.

  1. Observational
  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

9 authors.

Tae-Hun KimCollege of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.
Terje AlraekFaculty of Health Science, Department of Community Medicine, The National Research Center in Complementary and Alternative Medicine, NAFKAM, UiT The Arctic University of Norway, Tromsø, Norway.
Zhao-Xiang BianInstitute of Brain and Gut Research, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, SAR, PR China.
Stephen BirchDepartment of Health Sciences, Kristiania University College, Oslo, Norway.
Mark BoveyBritish Acupuncture Council, London, UK.
Juah LeeHwa-pyeong Institute of Integrative Medicine, Incheon, Republic of Korea.
Myeong Soo LeeClinical Medicine Research, Korea Institute of Oriental Medicine, Daejeon, South Korea.
Nicola RobinsonSchool of Health and Social Care, London South Bank University, London, UK.
Christopher ZaslawskiChinese Medicine Discipline, School of Life Sciences, University of Technology, PO Box 123, Broadway 2007, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical reasoning is generally defined to be a way of thinking for diagnostic or therapeutic decision making in clinical practice. Different cognitive models have been proposed for the clinical reasoning which takes place during the clinical encounter with a patient. This may have similarities with similar approaches used in Traditional Korean Medicine (TKM).

methodsExperts consensus were reached through panel discussion. Narrative description on the concept of clinical reasoning and explanation on Jinchal process in TKM were suggested.

resultsThis article analyses the

conclusionFuture research should focus on the similarities and differences in understanding clinical reasoning in KM as well as the broader field of traditional East Asian Medicine.

Indexed as

Clinical encounterClinical reasoningJinchalTheoretical modelsTraditional Korean medicine and narrative review

Identifiers

PMID33384923
PMCPMC7772549

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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.