Evidence map›Paper›PMID 36993786›Full record

ArticleFrontiers in medical technology2023

Objective evaluation of tongue diagnosis ability using a tongue diagnosis e-learning/e-assessment system based on a standardized tongue image database.

Makoto Segawa, Norio Iizuka, Hiroyuki Ogihara, Koichiro Tanaka, Hajime Nakae, Koichiro Usuku, Kojiro Yamaguchi, Kentaro Wada, Akihiro Uchizono, Yuji Nakamura and 7 more

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In one paragraph

Article in Frontiers in medical technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 7 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

17 authors at 13 institutions in 1 country.

Makoto SegawaDepartment of Kampo Medicine, Yamaguchi University Hospital, Ube, Japan.
Norio IizukaDepartment of Kampo Medicine, Yamaguchi University Hospital, Ube, Japan.
Hiroyuki OgiharaDepartment of Computer Science and Electronic Engineering, National Institute of Technology, Tokuyama Collage, Shunan, Japan.
Koichiro TanakaDepartment of Traditional Medicine, Faculty of Medicine, Toho University, Tokyo, Japan.
Hajime NakaeDepartment of Emergency and Critical Care Medicine, Akita University Graduate School of Medicine, Akita, Japan.
Koichiro UsukuSakura Red Cross Hospital, Kumamoto, Japan.
Kojiro YamaguchiOutpatient of Dental Chronic Disease, TANAKA Orthodontic Clinic, Medical Corporation HAYANOKAI, Kagoshima, Japan.
Kentaro WadaDivision of Nephrology and Dialysis, Department of Internal Medicine, Nippon Kokan Fukuyama Hospital, Hiroshima, Japan.
Akihiro UchizonoSendai Otorhinolaryngology Clinic, Kagoshima, Japan.
Yuji NakamuraShobara Red Cross Hospital, Hiroshima, Japan.
Yoshihiro NishidaDepartment of Obstetrics and Gynecology, Faculty of Medicine, Oita University, Oita, Japan.
Toshiko UedaFukuoka Tokushukai Hospital, Fukuoka, Japan.
Atsuko ShiotaDepartment of Health Sciences, Faculty of Medicine, Kagawa University, Kitagun, Japan.
Naoko HasunumaDepartment of Medical Education, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Kyoko NakaharaWomen's Clinic Lapport, Hiroshima, Japan.
Miwa HebiguchiSato Hospital, Akita, Japan.
Yoshihiko HamamotoDivision of Electrical, Electronic and Information Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan.
Yamaguchi University Hospital · JPAkita University · JPFukuoka Tokushukai Hospital · JPFukuyama Cardiovascular Hospital · JPHiroshima University · JPJapanese Red Cross Kumamoto Hospital · JPKagawa University · JPKishokai Medical Corporation · JPNational Institute of Technology, Tokuyama College · JPOita University · JPSatou Hospital · JPToho University · JPYamaguchi University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In Kampo medicine, tongue examination is used to diagnose the pathological condition "Sho," but an objective evaluation method for its diagnostic ability has not been established. We constructed a tongue diagnosis electronic learning and evaluation system based on a standardized tongue image database. Purpose: This study aims to verify the practicality of this assessment system by evaluating the tongue diagnosis ability of Kampo specialists (KSs), medical professionals, and students. Methods: In the first study, we analyzed the answer data of 15 KSs in an 80-question tongue diagnosis test that assesses eight aspects of tongue findings and evaluated the (i) test score, (ii) test difficulty and discrimination index, (iii) diagnostic consistency, and (iv) diagnostic match rate between KSs. In the second study, we administered a 20-question common Kampo test and analyzed the answer data of 107 medical professionals and 56 students that assessed the tongue color discrimination ability and evaluated the (v) correct answer rate, (vi) test difficulty, and (vii) factors related to the correct answer rate. Result: In the first study, the average test score was 62.2 ± 10.7 points. Twenty-eight questions were difficult (correct answer rate, <50%), 34 were moderate (50%-85%), and 18 were easy (≥85%). Regarding intrarater reliability, the average diagnostic match rate of five KSs involved in database construction was 0.66 ± 0.08, and as for interrater reliability, the diagnostic match rate between the 15 KSs was 0.52 (95% confidence interval, 0.38-0.65) for Gwet's agreement coefficient 1, and the degree of the match rate was moderate. In the second study, the difficulty level of questions was moderate, with a correct rate of 81.3% for medical professionals and 82.1% for students. The discrimination index was good for medical professionals (0.35) and poor for students (0.06). Among medical professionals, the correct answer group of this question had a significantly higher total score on the Kampo common test than the incorrect answer group (85.3 ± 8.4 points vs. 75.8 ± 11.8 points, Conclusion: This system can objectively evaluate tongue diagnosis ability and has high practicality. Utilizing this system can be expected to contribute to improving learners' tongue diagnosis ability and standardization of tongue diagnosis.

Indexed as

assessment systemdiagnostic abilitye-learninginterrater reliabilityintrarater reliabilitystandardizationtest difficultytongue diagnosis

Identifiers

PMID36993786
PMCPMC10040798
OpenAlexW4324088978

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read60
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.