| Literature DB >> 32337064 |
Guowei Li1,2, Darong Wu3,4, Xuejiao Chen1, Jie Zeng1, Ziyi Li1, Lehana Thabane2.
Abstract
BACKGROUND: The guidelines for pilot and feasibility studies were published in 2016. Little is known about the guideline adherence of TCM (traditional Chinese medicine) pilot trials or whether the guidelines can significantly enhance the quality of implementation and reporting of TCM pilot trials. We aimed to investigate the guideline adherence, assess the impact of guidelines on TCM pilot trials, and discuss potential challenges specific to TCM pilot trials, by conducting a literature review.Entities:
Keywords: Feasibility; Guideline adherence; Pilot trial; Traditional Chinese medicine
Year: 2020 PMID: 32337064 PMCID: PMC7175575 DOI: 10.1186/s40814-020-00602-4
Source DB: PubMed Journal: Pilot Feasibility Stud ISSN: 2055-5784
Fig. 1Flow diagram showing the process of eligible study identification
Characteristics of the 50 included studies
| First study author | Publication year | Journal | Country | Type of TCM | Number of participants randomized | Type of pilot trial |
|---|---|---|---|---|---|---|
| Agarwal | 2014 | India | Herb | 62 | NFT | |
| Ahn | 2007 | USA | Acupuncture | 32 | FDT | |
| Avis | 2008 | USA | Acupuncture | 104 | NFT | |
| Chen | 2003 | China | Herb | 44 | FDT | |
| Choi | 2012 | Korea | Herb | 40 | NFT | |
| Chung | 2012 | China | Acupuncture | 50 | FDT | |
| Gong | 2019 | China | Herb | 63 | NFT | |
| Hsu | 2008 | China | Herb | 24 | NFT | |
| Huang | 2019 | China | Herb | 60 | FDT | |
| Iwasaki | 2007 | Japan | Herb | 48 | NFT | |
| Jones | 2001 | China | Qigong | 117 | NFT | |
| Kainuma | 2004 | Japan | Herb | 33 | NFT | |
| Kalman | 2007 | USA | Chinese patent medicine | 60 | NFT | |
| Kampman | 2003 | USA | Herb | 14 | NFT | |
| Kang | 1999 | China | Chinese patent medicine | 120 | NFT | |
| Kong | 2009 | Singapore | Herb | 60 | FDT | |
| Kuo | 2012 | China | Herb | 28 | NFT | |
| Kuratsune | 2010 | Japan | Herb | 12 | NFT | |
| Ladas | 2010 | USA | Herb | 106 | FDT | |
| Lee | 2010 | China | Herb | 28 | NFT | |
| Lee | 2011 | Korea | Chinese patent medicine | 40 | NFT | |
| Li | 2009 | China | Herb | 24 | NFT | |
| Li | 2015 | China | Herb | 140 | NFT | |
| Liew | 2015 | Singapore | Chinese patent medicine | 44 | FDT | |
| Liu | 2018 | China | Chinese patent medicine | 20 | NFT | |
| Luo | 2018 | China | Acupuncture | 20 | FDT | |
| Noorbala | 2005 | Iran | Herb | 88 | NFT | |
| Otto | 1998 | USA | Acupuncture | 19 | NFT | |
| Pan | 2018 | China | Other | 60 | NFT | |
| Reshef | 2013 | Israel | Acupuncture | 27 | NFT | |
| Ritenbaugh | 2008 | USA | Other | 18 | FDT | |
| Scheid | 2015 | United Kingdom | Herb and/or acupuncture | 42 | FDT | |
| Shelmadine | 2017 | USA | Chinese patent medicine | 56 | NFT | |
| Singh | 2010 | India | Herb | 7 | NFT | |
| Sitzia | 2019 | Italy | Other | 56 | NFT | |
| Sordi | 2019 | Brazil | Herb | 70 | NFT | |
| Spasov | 2000 | Russia | herb | 128 | NFT | |
| Stockert | 2007 | Austria | Acupuncture | 12 | NFT | |
| Tao | 2013 | France | Other | 40 | NFT | |
| Tsai | 2018 | China | Herb | 160 | NFT | |
| Wang | 2014 | USA | Herb and/or acupuncture | 70 | FDT | |
| Wei | 2015 | China | Chinese patent medicine | 18 | NFT | |
| Wong | 2006 | China | Acupuncture | 120 | NFT | |
| Wu | 2014 | China | Acupuncture and massage | 36 | NFT | |
| Wu | 2015 | China | Herb | 46 | NFT | |
| Xu | 2009 | China | Chinese patent medicine | 30 | NFT | |
| Yu | 2018 | Canada | Acupuncture | 60 | NFT | |
| Zhang | 2015 | China | Chinese patent medicine | 12 | NFT | |
| Zou | 2017 | Canada | Other | 21 | FDT | |
| Zou | 2017 | Canada | Other | 36 | NFT |
FDT trials in preparation for a future definitive trial, NFT non-feasibility trials
Details for guideline adherence of the included studies
| Number of item | Checklist item | Guideline adherence | ||||
|---|---|---|---|---|---|---|
| Overall studies ( | Subgroups# | |||||
| By type of pilot trial | By year of publication | |||||
| FDT ( | NFT ( | Studies published before 2016 ( | Studies published after 2016 ( | |||
| 1a | Identification as a pilot or feasibility randomized trial in the title | 47 (94.0) | 11 (91.7) | 36 (94.7) | 36 (94.7) | 11 (91.7) |
| 1b | Structured summary of pilot trial design, methods, results, and conclusions (for specific guidance see CONSORT abstract extension for pilot trials) | 37 (74.0) | 9 (75.0) | 28 (73.7) | 27 (71.1) | 10 (83.3) |
| 2a | Scientific background and explanation of rationale for future definitive trial, and reasons for randomized pilot trial | 11 (22.0) | 3 (25.0) | 8 (21.1) | 8 (21.1) | 3 (25.0) |
| 2b | Specific objectives or research questions for pilot trial | 9 (18.0) | 3 (25.0) | 6 (18.4) | 8 (15.8) | 1 (8.3) |
| 3a | Description of pilot trial design (such as parallel, factorial) including allocation ratio | 35 (70.0) | 8 (66.7) | 27 (71.1) | 26 (68.4) | 9 (75.0) |
| 4c | How participants were identified and consented | 39 (78.0) | 9 (75.0) | 30 (79.0) | 29 (76.3) | 10 (83.3) |
| 5 | The interventions for each group with sufficient details to allow replication, including how and when they were actually administered | 44 (88.0) | 10 (83.3) | 34 (89.5) | 34 (89.5) | 10 (83.3) |
| 6a | Completely defined prespecified assessments or measurements to address each pilot trial objective specified in 2b, including how and when they were assessed | 44 (88.0) | 10 (83.3) | 34 (89.5) | 34 (89.5) | 10 (83.3) |
| 6c | If applicable, prespecified criteria used to judge whether, or how, to proceed with future definitive trial | 2 (4.0) | 1 (8.3) | 1 (2.6) | 1 (2.6) | 1 (8.3) |
| 7a | Rationale for numbers in the pilot trial | 4 (8.0) | 3 (25.0)* | 1 (2.6)* | 3 (7.9) | 1 (8.3) |
| 12a | Methods used to address each pilot trial objective whether qualitative or quantitative | 48 (96.0) | 11 (91.7) | 37 (97.3) | 21 (55.3)* | 12 (100.0)* |
| 13a | For each group, the numbers of participants who were approached and/or assessed for eligibility, randomly assigned, received intended treatment, and were assessed for each objective | 34 (68.0) | 10 (83.3) | 24 (63.2) | 26 (68.4) | 8 (66.7) |
| 20 | Pilot trial limitations, addressing sources of potential bias, and remaining uncertainty about feasibility | 33 (66.0) | 7 (58.3)* | 13 (34.2)* | 27 (71.1) | 6 (50.0) |
| 21 | Generalizability (applicability) of pilot trial methods and findings to future definitive trial and other studies | 9 (18.0) | 3 (25.0) | 6 (15.8) | 7 (18.4) | 2 (16.7) |
| 22a | Implications for progression from pilot to future definitive trial, including any proposed amendments | 31 (62.0) | 6 (50.0) | 25 (65.8) | 24 (63.2) | 7 (58.3) |
#two subgroup analyses conducted by study type (FDT vs NFT) and publication year (before 2016 vs after 2016)
*p value < 0.05 for difference test
Details of identified issues specific to TCM pilot trials
| Issues specific to TCM pilot trials | Authors’ statements | Reference |
|---|---|---|
| Blinding; intervention | “in this study JWSYS [Jia-Wey Shiau-Yau San] was given in powder form and Premelle in tablet form. The question arises as to whether the women receiving JWSYS were aware that they were taking an established traditional Chinese herbal remedy. Since the trial was not a blind one and the improvement in the symptoms of these women could be due to an expectancy/placebo effect, given the cultural milieu” | Chen [ |
| Randomization and blinding; intervention | “treatment with the complementary therapies of CM [Chinese medicine] had to be agreed by the patients or their families, thus randomly assigning the patients to the ST [standard treatment] or CH [Chinese herbs] by a completely blind method was difficult” “there was no fixed CM formula” | Lee [ |
| Comparison and effect estimate | “in addition, there is no standard treatment for AD [atopic dermatitis] based on evidence-based medicine that could be used for comparison. Therefore, it is very difficult to rate an intervention compared to a standard herbal medicine” | Choi 2012 [ |
| Blinding | “although the shape and color of the placebo were similar to Yueju, the smells of Yueju and placebo were not exactly identical, which may lead to the plausible incomplete blind treatment to patients. | Wu [ |
| Intervention and bias control | “the current study cannot exclude the possible effects of HAT [herbal acupuncture therapy] on other factors, such as basic herbal regimens, proper acupuncture selection, and long-term therapeutic courses involved in the response of IDH [Intradialytic hypotension]” | Tsai [ |