Skip to main content
Download PDF

SEED: the six excesses (Liu Yin) evaluation and diagnosis scale

Chinese Medicine volume 10, Article number: 30 (2015) Cite this article

Abstract

Background

Infections such as common colds, influenza, acute upper respiratory infections, bacterial gastroenteritis, and urinary tract infections are usually diagnosed according to patients’ signs and symptoms. This study aims to develop a scale for the diagnosis of infectious diseases based on the six excesses (Liu Yin) etiological theory of Chinese medicine (CM) by the Delphi method.

Methods

A total of 200 CM-guided diagnostic items measuring signs and symptoms for infectious diseases were compiled from CM literature archives from the Han to Ming dynasties, CM textbooks in both China and Taiwan, and journal articles from the China Knowledge Resource Integrated Database. The items were based on infections and the six excesses (Liu Yin) etiological theory, i.e., Feng Xie (wind excess), Han Xie (coldness excess), Shu Xie (summer heat excess), Shi Xie (dampness excess), Zao Xie (dryness excess), and Huo Xie (fire excess). The items were further classified into the six excess syndromes and reviewed via a Delphi process to reach consensus among CM experts.

Results

In total, 178 items with a mean or median rating of 7 or above on a scale of 1–9 from a panel of 32 experts were retained. The numbers of diagnostic items in the categories of Feng (wind), Han (coldness), Shu (summer heat), Shi (dampness), Zao (dryness), and Huo (fire) syndromes were 15, 22, 25, 37, 17, and 62, respectively.

Conclusions

A CM-based six excesses (Liu Yin) evaluation and diagnosis (SEED) scale was developed for the evaluation and diagnosis of infectious diseases based only on signs and symptoms.

Background

Infections such as common colds, influenza, acute upper respiratory infections, bacterial gastroenteritis, and urinary tract infections are usually diagnosed according to patients’ signs and symptoms, while the diagnosis of pandemic infections such as influenza H1N1 [1–4] and H5N1 [5, 6] must be confirmed by expensive laboratory tests [7–9] or real-time RT-PCR assays of multiple specimens [10]. Pathogen testing in the laboratory might be of low sensitivity [11], and low accuracy in some cases [12–14], and above all time-consuming [15].

Chinese medicine (CM) can detect those infectious diseases mentioned above according to the etiological theory of Liu Yin (six excesses), i.e., Feng Xie (wind excess) representing varying temperature factors, Han Xie (coldness excess) representing falling temperature, Shu Xie (summer heat excess) representing rising temperature and humidity, Shi Xie (dampness excess) representing rising humidity, Zao Xie (dryness excess) representing falling humidity, and Huo Xie (fire excess) representing rising temperature [16, 17]. These Liu Yin (six excesses) collectively describe the circumstantial influences on Qi and Xue (blood), encompassing a number of CM diagnostic criteria checked by inquiry, inspection, olfaction, audition, percussion, palpation, and pulse examination (Fig. 1), and facilitate diagnostic and therapeutic decisions [18]. However, there has been no standard diagnostic assessment or measurement scales designed for infectious diseases based on the Liu Yin (six excesses) theory [19–28].

Fig. 1
figure 1

Infectious diseases were classifiable in CM according to the Liu Yin (six excesses), Feng (wind), Han (coldness), Shu (summer heat), Shi (dampness), Zao (dryness), and Huo (fire), and could be classified into Feng (wind), Han (coldness), Shu (summer heat), Shi (dampness), Zao (dryness), and Huo (fire) syndromes

Full size image

This study aims to develop the six excesses (Liu Yin) evaluation and diagnosis (SEED) scale for infectious diseases based on the Liu Yin (six excesses) etiological theory in CM by a Delphi process among experts. The Delphi method aims to build consensus and generate ideas in research fields [29–41], and is useful for the establishment of diagnostic criteria in clinical medicine. It is a structured communication process to establish the definition of the syndromes, the diagnostic criteria or the staging of the diseases, and the suggested treatments in the medical guidelines [42–48].

Methods

The Delphi method [49] was used to achieve a group panel consensus on the diagnostic items for the Liu Yin (six excesses) syndromes among a panel of experts between 2007 and 2008. A nationally representative panel of Chinese medical experts were invited; only CM experts with good knowledge about CM and modern research methods with master or doctoral degrees, and more than 7 years of practicing experience were invited to join the Delphi panel. Based on this consensus, we carried out further statistical analyses for infectious diseases.

An interdisciplinary advisory board was formed by seven members, including five CM experts, one measurement methodologist, and one statistician. The advisory board selected the participants of the Delphi panel.

Representatives from various education backgrounds, medical disciplines, geographical distributions, and clinical experience were considered for the panel. Finally, a total of 32 CM experts meeting these criteria were invited, and all agreed to participate (Table 1). Of the 32 participants, 20 were from CM departments in medical centers, 6 were from district or regional teaching hospitals, and 6 were from private practices; 7 practiced in Northern region, 11 in central region, 6 in Southern region and 8 in other region. Twenty-one panelists held master degrees, 11 had doctoral degrees in medical sciences, and 26 panelists were teachers in academic institutions. The age (mean ± SD) of the panelists was 43 ± 7.0 years with a median of 42 years. The year of practicing experience (mean ± SD) was 11.3 ± 3.7 years with a median of 10 years.

Table 1 Basic characteristics of the 32 CM experts
Full size table

The Delphi process was iterative. We began with a systematic review of traditional CM literature including the Medicine Encyclopedia collected by Kentang Wang (AC1552–1639), 122 published modern textbooks, and 7364 journal articles from the China Knowledge Resource Integrated Database. The search keywords included: Feng (wind), Han (coldness), Shu (summer heat), Shi (dampness), Zao (dryness), Huo (fire), Wai-gan (external contraction), Liu Yin (six excesses), and Yin (excess), and we identified and compiled a pool of 200 diagnostic items for the Liu Yin (six excesses) syndromes. The CM experts categorized each of these 200 items into one of the Liu Yin (six excesses) syndromes, and the results were reviewed and face-validated by the same experts. The numbers of items for each Yin (excess) syndrome were: Feng (wind), 23; Han (coldness), 32; Shu (summer heat), 25; Shi (dampness), 40; Zao (dryness), 18; and Huo (fire), 62. We had mailed the items to the panelists and invited them to add any items; the numbers remained the same.

The classified items were then incorporated into the processes of the Delphi method and circulated via mail to the panelists for their ratings with follow-up phone calls within 2 weeks (Fig. 2). In stage 1, the panelists were asked to rate the appropriateness of each of the classified signs and symptoms on a scale of 1 (highly inappropriate) to 9 (highly appropriate). They were also instructed to provide reasons for the items they rated as “inappropriate”. In stage 2, the results for the mean rating and standard deviation of the individual items were mailed to the panelists, and they were asked again to provide and return their ratings after reviewing the results. The two-stage Delphi method are enough to saturate consensus [49–57], which cannot be maximized by increasing the number of round [58–64]. The progress was assessed by any reduction in the variability of judgments among the panelists. The level of consensus was quantified by the standard deviation of their ratings. After the two-stage Delphi method, the expert-rated diagnostic items with an average or median rating of 7 or above were considered to have face-validity and integrated into the standardized assessment. The cut point of 7.0 had been chosen because it highly represents panelists’ agreement as well as the estimated time required to complete the selected items by CM doctors is expected to be no more than 30 min.

Fig. 2
figure 2

Flow chart of the Delphi process

Full size image

Results

The mean, median and standard deviation of the ratings for each item from the first and second stages were calculated (Table 2). After the two-stage Delphi method, 15, 22, 25, 37, 17, and 62 diagnostic items with a rating of 7.0 or higher were retained in Feng (wind), Han (coldness), Shu (summer heat), Shi (dampness), Zao (dryness), and Huo (fire) syndromes, respectively. The standard deviations of all 178 retained items decreased from the first stage to the second stage because of the achieved agreement, with the following exceptions: “surging but weak pulse with dipped finger tip” (both 1.02) and “unclear head and eyesight” (1.01–1.06) in Shu (summer heat) syndrome; “edematous swelling in face and limbs” (both 1.10) and “unclear head and eyesight” (both 0.67) in Shi (dampness) syndrome; and “dry and yellow fur” (1.01–1.06) and “dry, yellow and white fur” (0.61–0.63) in Huo (fire) syndrome. However, the upward changes were relatively small.

Table 2 Results of the two-stage Delphi method
Full size table

The total number of retained items in each of the Liu Yin (six excesses) syndromes varied from 15 items in Feng (wind) syndrome to 62 items in Huo (fire) syndrome. All syndromes comprised two kinds of diagnostic items: subjective discomfort factors and objective examinations by the patients themselves or by clinicians. The diagnostic items for subjective discomfort included the following: items regarding sleeping, appetite, eyesight, and hearing; items regarding behavioral adjustments such as aversion, preference, anguish, and agitation; items regarding sensations of coldness, hotness, dryness, and bitterness; and items regarding feelings of pain, itch, ache, congestion, thirst, viscousness, oppression, fullness, stuffiness, heaviness, and tiredness. The diagnostic items for objective examinations included the following: general symptoms regarding complexion, eyes, lips, tongue, skin, snivel, stool, urine, phlegm, and awareness; physical responses such as breathlessness, coughing, shivering, sweating, sneezing, and vomiting; and appearance changes such as hemiplegia, deviated eyes and mouth, opisthotonos, trismus, and edema. In addition to the two kinds of diagnostic items, 4, 2, 3, 4, and 5 items of pulse examination were retained in Feng (wind), Han (coldness), Shu (summer heat), Shi (dampness), and Huo (fire) syndromes, respectively.

Some items were retained in more than one syndrome because of their overlapping contributions, as follows: “headache”, “generalized pain”, “clear snivel”, and “headache and painful stiffness in nape” in Feng (wind) and Han (coldness) syndromes; “floating and rapid pulse” in Feng (wind) and Huo (fire) syndromes; “aches and pains in joints” and “a lot of clear and white phlegm” in Han (coldness) and Shi (dampness) syndromes; “fatigue”, “heavy or tired limbs”, and “unclear head and eyesight” in Shu (summer heat) and Shi (dampness) syndromes; “thirsty”, “desire to drink”, and “dry tongue with little saliva” in Shu (summer heat), Zao (dryness), and Huo (fire) syndromes; “dry nasal cavity”, “dry lips”, “dry throat”, “hard bound or dry stool”, and “dry, yellow and white fur” in Zao (dryness) and Huo (fire) syndromes; and “aversion to heat”, “fever”, “high fever”, “profuse sweating”, “red lips”, “preference for cold drinks”, “agitation”, “shortness of urine”, “reddish yellow urine”, “red tongue”, “surging pulse”, and “rapid pulse” in Shu (summer heat) and Huo (fire) syndromes. Including these overlapping items, the SEED scale for infectious diseases, which captured the Liu Yin (six excesses) syndromes, was created and formatted as follows: Feng (wind), 15 items; Han (coldness), 22 items; Shu (summer heat), 25 items; Shi (dampness), 37 items; Zao (dryness), 17 items; and Huo (fire), 62 items. Following the integration of common items, a total of 102 diagnostic criteria conformed to the Liu Yin (six excesses) and covered the manifestations of the Liu Yin (six excesses) syndromes.

Discussion

This study codified the Liu Yin (six excesses) syndromes by the Delphi method with a panel of 32 CM experts. The 178 diagnostic items derived from the two-stage Delphi method combined information gleaned from CM classic textbooks, journal articles, and opinions of CM experts. All six syndromes encompassed diagnostic criteria regarding subjective discomfort and objective examinations, both were deemed essential for diagnostic judgment. Subjective discomfort was important for medical care considerations, while objective examinations were crucial for disease progress evaluations.

Common diagnostic items were present in different syndromes as a result of the same body responses to different Yin (excess). For example, “generalized pain” in Feng (wind) and Shi (dampness) syndromes results from obstructed circulation of Qi and Xue (blood) [65]. Common items combined with different signs or symptoms imply different body responses [66, 67]. “Fatigue” combined with “thirsty” was attributed to Shu Xie (summer heat excess), while “fatigue” combined with “not thirsty” was attributed to Shi Xie (dampness excess).

Five syndromes, except for Feng (wind) syndrome, comprised diagnostic items of tongue examinations for detecting the Qi and Xue (blood) status. Five syndromes, except for Zao (dryness) syndrome, comprised pulse examinations for instant diagnostic judgment in CM practice [68]. Clinical skills in pulse and tongue examinations were important for accurate assessment of signs and symptoms in the SEED scale [69], just as in CM clinical practice.

The 102 diagnostic criteria were checked by inquiry, inspection, olfaction, audition, percussion, palpation, and pulse examination to ensure complete consideration in medical care. Arrangement of these diagnostic items in a more systematic manner along with a designed record format for tongue and pulse examinations would be necessary for clinical practice. Practice manuals proposing the definition, description, and standardized process for each diagnostic criterion have also been developed for correct implementation.

The limitation of homogeneous education backgrounds is inevitable, since we excluded CM clinicians who had only practicing experience, but no postgraduate degrees from participating in the Delphi panel, as some research background would be required for understanding of the Delphi method and the statistical results circulated during the processes. The panelists’ average practicing experience of 11.7 years was considered to be a good representation of their clinical experience.

Because the Liu Yin (six excesses) syndromes were general categories, exploratory and confirmatory factor analyses were conducted to derive and validate the underlying structures of the SEED scale and to reveal the correlations among signs and symptoms. Future studies, including clinical observations to avoid item redundancy and to confirm the clinical practice of the SEED scale in infectious diseases, are required.

It’s the first scale based on the six excesses (Liu Yin) and constructed by the Delphi method; the CM experts epitomized the contents of CM literature and journal articles via the process. Future applications of the SEED scale in clinical practice, research and CM education are expected.

Conclusion

A CM-based SEED scale was developed for the evaluation and diagnosis of infectious diseases based on only signs and symptoms.

References

  1. Writing Committee of the WHO Consultation on Clinical Aspects of Pandemic Influenza. Clinical aspects of pandemic 2009 influenza A (H1N1) virus infection. N Engl J Med. 2010;362(18):1708–19.

    Article  Google Scholar 

  2. Miller E, Hoschler K, Hardelid P, Stanford E, Andrews N, Zambon M. Incidence of 2009 pandemic influenza A H1N1 infection in England: a cross-sectional serological study. Lancet. 2010;375(9720):1100–8.

    Article  PubMed  Google Scholar 

  3. Baden LR, Drazen JM, Kritek PA, Curfman GD, Morrissey S, Campion EW. H1N1 Influenza A disease—information for health professionals. N Engl J Med. 2009;360(25):2666–7.

    Article  CAS  PubMed  Google Scholar 

  4. Echevarría-Zuno S, Mejía-Aranguré JM, Mar-Obeso AJ, Grajales-Muñiz C, Robles-Pérez E, González-León M, et al. Infection and death from influenza A H1N1 virus in Mexico: a retrospective analysis. The Lancet. 2009;374(9707):2072–9.

    Article  Google Scholar 

  5. Gambotto A, Barratt-Boyes SM, de Jong MD, Neumann G, Kawaoka Y. Human infection with highly pathogenic H5N1 influenza virus. Lancet. 2008;371(9622):1464–75.

    Article  CAS  PubMed  Google Scholar 

  6. Webster RG, Govorkova EA. H5N1 influenza-continuing evolution and spread. N Engl J Med. 2006;355(21):2174–7.

    Article  CAS  PubMed  Google Scholar 

  7. Blyth CC, Iredell JR, Dwyer DE. Rapid-test sensitivity for novel swine-origin influenza A (H1N1) virus in humans. N Engl J Med. 2009;361(25):2493.

    Article  PubMed  Google Scholar 

  8. Oner AF, Bay A, Arslan S, Akdeniz H, Sahin HA, Cesur Y, et al. Avian influenza A (H5N1) infection in eastern Turkey in 2006. N Engl J Med. 2006;355(21):2179–85.

    Article  CAS  PubMed  Google Scholar 

  9. Beigel JH, Farrar J, Han AM, Hayden FG, Hyer R, de Jong MD, et al. Avian influenza A (H5N1) infection in humans. N Engl J Med. 2005;353(13):1374–85.

    Article  PubMed  Google Scholar 

  10. Abdel-Ghafar AN, Chotpitayasunondh T, Gao Z, Hayden FG, Nguyen DH, de Jong MD, et al. Update on avian influenza A (H5N1) virus infection in humans. N Engl J Med. 2008;358(3):261–73.

    Article  CAS  PubMed  Google Scholar 

  11. Glezen WP. Prevention and treatment of seasonal influenza. N Engl J Med. 2008;359(24):2579–85.

    Article  CAS  PubMed  Google Scholar 

  12. Stamm W, Wagner K, Amsel R, Alexander E, Turck M, Counts G, et al. Causes of the acute urethral syndrome in women. N Engl J Med. 1980;303(8):409–15.

    Article  CAS  PubMed  Google Scholar 

  13. Richards D, Toop L, Chambers S, Fletcher L. Response to antibiotics of women with symptoms of urinary tract infection but negative dipstick urine test results: double blind randomised controlled trial. BMJ. 2005;331(7509):143–6.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Poehling KA, Edwards KM, Weinberg GA, Szilagyi P, Staat MA, Iwane MK, et al. The underrecognized burden of influenza in young children. N Engl J Med. 2006;355(1):31–40.

    Article  CAS  PubMed  Google Scholar 

  15. Lessler J, Reich NG, Brookmeyer R, Perl TM, Nelson KE, Cummings DA. Incubation periods of acute respiratory viral infections: a systematic review. Lancet Infect Dis. 2009;9(5):291–300.

    Article  PubMed Central  PubMed  Google Scholar 

  16. Tang JL, Liu BY, Ma KW. Traditional Chinese medicine. Lancet. 2008;372(9654):1938–40.

    Article  PubMed  Google Scholar 

  17. Peng J. Historical studies of the systems of diagnosis and treatment of exopathogenic diseases. Zhonghua Yi Shi Za Zhi. 1999;29(2):70–3.

    CAS  PubMed  Google Scholar 

  18. Scheid V. The globalization of Chinese medicine. Lancet. 1999;354 (Suppl:SIV10).

  19. Zhang GG, Bausell B, Lao L, Handwerger B, Berman BM. Assessing the consistency of traditional Chinese medical diagnosis: an integrative approach. Altern Ther Health Med. 2003;9(1):66–71.

    PubMed  Google Scholar 

  20. Zhang GG, Lee W, Bausell B, Lao L, Handwerger B, Berman B. Variability in the traditional Chinese medicine (TCM) diagnoses and herbal prescriptions provided by three TCM practitioners for 40 patients with rheumatoid arthritis. J Altern Complement Med. 2005;11(3):415–21.

    Article  CAS  PubMed  Google Scholar 

  21. Kalauokalani D, Sherman KJ, Cherkin DC. Acupuncture for chronic low back pain: diagnosis and treatment patterns among acupuncturists evaluating the same patient. South Med J. 2001;94(5):486–92.

    Article  CAS  PubMed  Google Scholar 

  22. Birch S, Sherman K. Zhong Y acupuncture and low-back pain: traditional Chinese medical acupuncture differential diagnoses and treatments for chronic lumbar pain. J Altern Complement Med. 1999;5(5):415–25 (discussion 27–8).

    Article  CAS  PubMed  Google Scholar 

  23. Lindahl MG, Barrett R, Peterson D, Zheng L, Nedrow A. Development of an integrative patient history intake tool: a Delphi study. Altern Ther Health Med. 2005;11(1):52–6.

    PubMed  Google Scholar 

  24. Liu GP, Wang YQ, Dong Y, Zhao NQ, Xu ZX, Li FF, et al. Development and evaluation of an inquiry scale for diagnosis of heart system syndromes in traditional Chinese medicine. Zhong Xi Yi Jie He Xue Bao. 2009;7(1):20–4.

    Article  PubMed  Google Scholar 

  25. Schnyer RN, Conboy LA, Jacobson E, McKnight P, Goddard T, Moscatelli F, et al. Development of a Chinese medicine assessment measure: an interdisciplinary approach using the Delphi method. J Altern Complement. 2005;11(6):1005–13.

    Article  Google Scholar 

  26. Hogeboom CJ, Sherman KJ, Cherkin DC. Variation in diagnosis and treatment of chronic low back pain by traditional Chinese medicine acupuncturists. Complement Ther Med. 2001;9(3):154–66.

    Article  CAS  PubMed  Google Scholar 

  27. Sherman KJ, Cherkin DC, Hogeboom CJ. The diagnosis and treatment of patients with chronic low-back pain by traditional Chinese medical acupuncturists. J Altern Complement Med. 2001;7(6):641–50.

    Article  CAS  PubMed  Google Scholar 

  28. Coeytaux RR, Chen W, Lindemuth CE, Tan Y, Reilly AC. Variability in the diagnosis and point selection for persons with frequent headache by traditional Chinese medicine acupuncturists. J Altern Complement Med. 2006;12(9):863–72.

    Article  PubMed  Google Scholar 

  29. Fitch K, Bernstein SJ, Aguilar MD, Burnand B, Lacalle JR, Lazaro P. The RAND/UCLA appropriateness method user’s manual: Natl Book Network 2000.

  30. Dixon AE, Sugar EA, Zinreich SJ, Slavin RG, Corren J, Naclerio RM, et al. Criteria to screen for chronic sinonasal disease. Chest. 2009;136(5):1324–32.

    Article  PubMed Central  PubMed  Google Scholar 

  31. Zhang W, Doherty M, Leeb BF, Alekseeva L, Arden NK, Bijlsma JW, et al. EULAR evidence-based recommendations for the diagnosis of hand osteoarthritis: report of a task force of ESCISIT. Ann Rheum Dis. 2009;68(1):8–17.

    Article  CAS  PubMed  Google Scholar 

  32. Sherman PM, Hassall E, Fagundes-Neto U, Gold BD, Kato S, Koletzko S, et al. A global, evidence-based consensus on the definition of gastroesophageal reflux disease in the pediatric population. Am J Gastroenterol. 2009;104(5):1278–95 (quiz 96).

    Article  PubMed  Google Scholar 

  33. Ferri CP, Prince M, Brayne C, Brodaty H, Fratiglioni L, Ganguli M, et al. Global prevalence of dementia: a Delphi consensus study. The Lancet. 2005;366(9503):2112–7.

    Article  Google Scholar 

  34. Gallagher P, Ryan C, Byrne S, Kennedy J, O’Mahony D. STOPP (screening tool of older person’s prescriptions) and START (screening tool to alert doctors to right treatment) consensus validation. Int J Clin Pharmacol Ther. 2008;46(2):72–83.

    Article  CAS  PubMed  Google Scholar 

  35. Bowles KH, Holmes JH, Ratcliffe SJ, Liberatore M, Nydick R, Naylor MD. Factors identified by experts to support decision making for post acute referral. Nurs Res. 2009;58(2):115–22.

    Article  PubMed Central  PubMed  Google Scholar 

  36. McGlynn EA, Asch SM, Adams J, Keesey J, Hicks J, DeCristofaro A, et al. The quality of health care delivered to adults in the United States. N Engl J Med. 2003;348(26):2635–45.

    Article  PubMed  Google Scholar 

  37. Koekkoek B, van Meijel B, Schene A, Hutschemaekers G. A Delphi study of problems in providing community care to patients with nonpsychotic chronic mental illness. Psychiatr Serv. 2009;60(5):693–7.

    Article  PubMed  Google Scholar 

  38. Jha AK, DesRoches CM, Campbell EG, Donelan K, Rao SR, Ferris TG, et al. Use of electronic health records in US hospitals. N Engl J Med. 2009;360(16):1628–38.

    Article  CAS  PubMed  Google Scholar 

  39. Tierney S, Fox JR. Chronic anorexia nervosa: a Delphi study to explore practitioners’ views. Int J Eat Disord. 2009;42(1):62–7.

    Article  PubMed  Google Scholar 

  40. Alahlafi A, Burge S. What should undergraduate medical students know about psoriasis? Involving patients in curriculum development: modified Delphi technique. BMJ. 2005;330(7492):633–6.

    Article  PubMed Central  PubMed  Google Scholar 

  41. Kassab S, Cummings M, Berkovitz S, van Haselen R, Fisher P. Homeopathic medicines for adverse effects of cancer treatments. Cochrane Database Syst Rev. 2009;(2):CD004845. doi:10.1002/14651858.CD004845.pub2

  42. Salliot C, Dernis E, Lavie F, Cantagrel A, Gaudin P, Wendling D, Claudepierre P, Flipo RM, Goupille PM, Le Loët X, Maillefert JF, Paul C, Saraux A, Schaeverbeke T, Tebib J, Combe B. Diagnosis of peripheral psoriatic arthritis: recommendations for clinical practice based on data from the literature and experts opinion. Joint Bone Spine. 2009;76(5):532–9.

    Article  PubMed  Google Scholar 

  43. Taylor WJ, Shewchuk R, Saag KG, Schumacher HR Jr, Singh JA, Grainger R, et al. Toward a valid definition of gout flare: results of consensus exercises using Delphi methodology and cognitive mapping. Arthritis Rheum. 2009;61(4):535–43.

    Article  CAS  PubMed  Google Scholar 

  44. Murray PT, Devarajan P, Levey AS, Eckardt KU, Bonventre JV, Lombardi R, et al. A framework and key research questions in AKI diagnosis and staging in different environments. Clin J Am Soc Nephrol. 2008;3(3):864–8.

    Article  PubMed  Google Scholar 

  45. Guellac N, Niehues T. Interdisciplinary and evidence-based treatment guideline for juvenile idiopathic arthritis. Klin Padiatr. 2008;220(6):392–402.

    Article  CAS  PubMed  Google Scholar 

  46. Graham B, Regehr G, Wright JG. Delphi as a method to establish consensus for diagnostic criteria. J Clin Epidemiol. 2003;56(12):1150–6.

    Article  PubMed  Google Scholar 

  47. Pastor AC, Osman F, Teitelbaum DH, Caty MG, Langer JC. Development of a standardized definition for Hirschsprung’s-associated enterocolitis: a Delphi analysis. J Pediatr Surg. 2009;44(1):251–6.

    Article  PubMed  Google Scholar 

  48. Cheon JH, Kim ES, Shin SJ, Kim TI, Lee KM, Kim SW, et al. Development and validation of novel diagnostic criteria for intestinal Behcet’s disease in Korean patients with ileocolonic ulcers. Am J Gastroenterol. 2009;104(10):2492–9. doi:10.1038/ajg.2009.331.

    Article  PubMed  Google Scholar 

  49. Campos F, Sousa A, Rodrigues V, Marques A, Queiros C, Dores A. Practical guidelines for peer support programmes for mental health problems. Rev Psiquiatr Salud Ment. 2014. doi:10.1016/j.rpsm.2014.06.002.

    PubMed  Google Scholar 

  50. Ferreira JJ, Santos AT, Domingos J, Matthews H, Isaacs T, Duffen J, et al. Clinical parameters and tools for home-based assessment of Parkinson’s disease: results from a Delphi study. J Parkinsons Dis. 2015;5(2):281–90.

    Article  PubMed  Google Scholar 

  51. Loeffen EA, Mulder RL, Kremer LC, Michiels EM, Abbink FC, Ball LM, et al. Development of clinical practice guidelines for supportive care in childhood cancer-prioritization of topics using a Delphi approach. Support Care Cancer. 2014. doi:10.1007/s00520-014-2559-7.

    Google Scholar 

  52. Munck A, Mayell SJ, Winters V, Shawcross A, Derichs N, Parad R, et al. Cystic fibrosis screen positive, inconclusive diagnosis (CFSPID): a new designation and management recommendations for infants with an inconclusive diagnosis following newborn screening. J Cyst Fibros. 2015. doi:10.1016/j.jcf.2015.01.001.

    Google Scholar 

  53. Pucher PH, Brunt LM, Fanelli RD, Asbun HJ, Aggarwal R. SAGES expert Delphi consensus: critical factors for safe surgical practice in laparoscopic cholecystectomy. Surg Endosc. 2015. doi:10.1007/s00464-015-4079-z.

    Google Scholar 

  54. Roberts DM, Yates C, Megarbane B, Winchester JF, Maclaren R, Gosselin S, et al. Recommendations for the role of extracorporeal treatments in the management of acute methanol poisoning: a systematic review and consensus statement. Crit Care Med. 2015;43(2):461–72. doi:10.1097/ccm.0000000000000708.

    Article  CAS  PubMed  Google Scholar 

  55. Slade SC, Dionne CE, Underwood M, Buchbinder R. Standardised method for reporting exercise programmes: protocol for a modified Delphi study. BMJ Open, vol. 12. England: BMJ Publishing Group Limited; 2014. p. e006682.

    Google Scholar 

  56. Suzuki Y, Fukasawa M, Nakajima S, Narisawa T, Keiko A, Kim Y. Developing a consensus-based definition of “Kokoro-no Care” or mental health services and psychosocial support: drawing from experiences of mental health professionals who responded to the Great East Japan Earthquake. PLoS Curr. 2015. doi:10.1371/currents.dis.cfcbaf509711641ab5951535851e572e.

    PubMed Central  PubMed  Google Scholar 

  57. Trevelyan EG, Turner WA, Robinson N. Developing an acupuncture protocol for treating phantom limb pain: a Delphi consensus study. Acupunct Med, vol. 1. England: BMJ Publishing Group Limited; 2015. p. 42–50.

    Google Scholar 

  58. James DJ, Warren-Forward HM. Development of consensus statements for pregnancy screening in diagnostic nuclear medicine: a delphi study. J Nucl Med Technol, vol. 1. United States: The Society of Nuclear Medicine and Molecular Imaging, Inc; 2015. p. 74–9.

    Google Scholar 

  59. Kunneman M, Pieterse AH, Stiggelbout AM, Marijnen CA. Which benefits and harms of preoperative radiotherapy should be addressed? A Delphi consensus study among rectal cancer patients and radiation oncologists. Radiother Oncol. 2015;114(2):212–7. doi:10.1016/j.radonc.2014.11.034.

    Article  PubMed  Google Scholar 

  60. Muller BG, van den Bos W, Brausi M, Futterer JJ, Ghai S, Pinto PA, et al. Follow-up modalities in focal therapy for prostate cancer: results from a Delphi consensus project. World J Urol. 2015. doi:10.1007/s00345-014-1475-2.

    Google Scholar 

  61. Paneque M, Sequeiros J, Skirton H. Quality issues concerning genetic counselling for presymptomatic testing: a European Delphi study. Eur J Hum Genet. 2015. doi:10.1038/ejhg.2015.23

    Google Scholar 

  62. Strosberg JR, Fisher GA, Benson AB, Anthony LB, Arslan B, Gibbs JF, et al. Appropriateness of systemic treatments in unresectable metastatic well-differentiated pancreatic neuroendocrine tumors. World J Gastroenterol. 2015;21(8):2450–9. doi:10.3748/wjg.v21.i8.2450.

    Article  PubMed Central  PubMed  Google Scholar 

  63. Temkin-Greener H, Ladwig S, Caprio T, Norton S, Quill T, Olsan T, et al. Developing palliative care practice guidelines and standards for nursing home-based palliative care teams: a Delphi study. J Am Med Dir Assoc. 2015;16(1):86 e1–7. doi:10.1016/j.jamda.2014.10.013.

    Article  PubMed  Google Scholar 

  64. Vilches-Moraga A, Arino-Blasco S, Verdejo-Bravo C, Mateos-Nozal J. University studies plan in geriatric medicine developed using a modified Delphi technique. Rev Esp Geriatr Gerontol. 2014. doi:10.1016/j.regg.2014.10.003.

    PubMed  Google Scholar 

  65. Fitch K, Bernstein SJ, Aguilar MD, Burnand B, LaCalle JR, Lazaro P, et al. The RAND/UCLA appropriateness users manual. Santa Monica: RAND Institute; 2001.

    Google Scholar 

  66. Anonymous. Huangdi’s internal classic, before Han dynasty.

  67. Hsiao CF, Tsou HH, Wu YJ, Lin CH, Chang YJ. Translation in different diagnostic procedures—traditional Chinese medicine and Western medicine. J Formos Med Assoc. 2008;107(12 Suppl):74–85.

    Article  PubMed  Google Scholar 

  68. O’Brien KA, Abbas E, Zhang J, Guo ZX, Luo R, Bensoussan A, et al. Understanding the reliability of diagnostic variables in a Chinese Medicine examination. J Altern Complement Med. 2009;15(7):727–34.

    Article  PubMed  Google Scholar 

  69. Chiang PJ, Su YC, Liou DM. Acupuncture for chronic low back pain. N Engl J Med. 2010;363(18):1775–6 author reply 77–8.

    Article  CAS  PubMed  Google Scholar 

  70. WHO Regional Office for the Western Pacific. WHO international standard terminologies on traditional medicine in the Western Pacific Region. 2007.

Download references

Authors’ contributions

YCS conceived and designed the study. PJC, TCL, LLC and JDL analyzed the data. PJC wrote the manuscript. TCL and CHC revised the manuscript. All authors read and approved the final manuscript.

Acknowledgements

This project was supported by Grant (number CCMP97-RD-113) from the Committee on Traditional Chinese Medicine and Pharmacy, Department of Health, Executive Yuan, Taiwan. The support of statistic analysis from the Biostatistics Center of China Medical University was also appreciated.

Compliance with ethical guidelines

Competing interests The authors declare that they have no competing interests.

Author information

Authors and Affiliations

  1. Graduate Institute of Chinese Medicine, School of Chinese Medicine, China Medical University, Taichung, Taiwan

    Pei-Jung Chiang & Yi-Chang Su

  2. Department of Traditional Chinese Medicine, Taichung Veterans General Hospital, Taichung, Taiwan

    Pei-Jung Chiang

  3. Graduate Institute of Biostatistics, China Medical University, Taichung, Taiwan

    Tsai-Chung Li

  4. Feinberg School of Medicine, Northwestern University, Chicago, USA

    Chih-Hung Chang

  5. School of Nursing, China Medical University, Taichung, Taiwan

    Li-Li Chen

  6. Department of Nursing, China Medical University Hospital, Taichung, Taiwan

    Li-Li Chen

  7. Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan

    Jun-Dai Lin

Authors
  1. Pei-Jung Chiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tsai-Chung Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chih-Hung Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Li-Li Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jun-Dai Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yi-Chang Su
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yi-Chang Su.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chiang, PJ., Li, TC., Chang, CH. et al. SEED: the six excesses (Liu Yin) evaluation and diagnosis scale. Chin Med 10, 30 (2015). https://doi.org/10.1186/s13020-015-0059-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13020-015-0059-4

Keywords

  • Chinese Medicine
  • Delphi Method
  • Delphi Process
  • Summer Heat
  • Delphi Panel

Chinese Medicine

ISSN: 1749-8546

Contact us