Dear editor
We sincerely thank Shen et al for the time and effort spent reviewing our article and for offering constructive feedback based on its strengths.1 Your encouraging words and insightful suggestions are highly valued and will surely help improve our work. We believe that implementing your advice will greatly refine our research. Please find our detailed response to your feedback below.
First, despite Kaiser’s (1974) classic standard that a KMO value ≥ 0.6 is the minimum acceptable threshold, many studies indicate that in some specific research fields, factor analysis may still be feasible with a KMO value slightly below 0.6, supplemented by other tests (eg, Bartlett’s test of sphericity). If the KMO value is slightly low (0.5–0.6) but the Bartlett’s test is significant (P < 0.05), factor analysis can still be cautiously conducted to reject the assumption of variable independence.2–6 In this study, the Bartlett’s test yielded a P < 0.001, indicating that factor analysis is appropriate. In addition, whether the sample size is sufficiently large is also a factor that needs to be considered in determining the suitability for performing exploratory factor analysis.7 Therefore, in practical applications, researchers need to consider these indicators comprehensively, rather than relying on a single standard to determine the applicability of exploratory factor analysis.8 In numerous studies and literature, a cumulative variance explained percentage exceeding 50% is generally regarded as a fairly reasonable reference criterion, indicating better model interpretability in exploratory factor analysis.9–13 However, given that the exploratory factor analysis results have not reached an optimal state, although they possess a certain degree of explanatory power, they should be interpreted with caution.
Second, as you mentioned, the sample size of 10 patients is indeed small. However, we referred to many similar articles published in top domestic journals of acupuncture (Chinese Acupuncture and Moxibustion and Acupuncture Research). Most of these articles impose no restrictions on sample size,14–16 and those that do typically set the sample size also at over 10.17 This is generally because there are various syndrome types in the differentiation of diseases in traditional Chinese medicine. Most clinical studies include multiple syndrome types and select acupoints based on syndrome differentiation. However, few studies specify the sample size for each syndrome type. Our study incorporates the selection of acupoints based on syndrome differentiation for each syndrome type. Thus, the 10 - case sample size is aimed at roughly meeting the basic sample size for each syndrome type on average. The actual total sample size for each study is far more than 10 cases. Regarding the literature span issue, our inclusion criteria state: “Patients were diagnosed with migraine according to the diagnostic criteria established and applied in the clinical studies during that particular period.” This statement pertains to the diagnostic criteria for our study. In reality, many meta - analyses and data mining studies incorporate databases from their inception to the present. This is a conventional practice for this type of article, aiming to cover a broader range of data. Even so, as you mentioned in the letter, in future research, we can conduct further subgroup analyses on different periods, sample size, and subtypes and compare their similarities and differences.
Thirdly, as you mentioned in the letter, the proportion of the number of acupoints in the head and neck region should be 37.02%. We truly appreciate your keen - eyed comments.
We look forward to potential future communication and joint efforts with you. It is our expectation that, under your guidance and with your backing, we will achieve more meaningful results in the field of Traditional Chinese Medicine research.
Disclosure
The authors have no conflicts of interest to declare in this communication.
References
- 1.Shen Z, Zhou C, Lin X. Exploration of the application rules and clinical significance of acupoints in acupuncture treatment of migraine based on data mining [Letter]. J Pain Res. 2025;18:3359–3360. doi: 10.2147/JPR.S548954 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Qureshi MI, Iftikhar M, Bhatti MN, Shams T, Zaman K. Critical elements in implementations of just-in-time management: empirical study of cement industry in Pakistan. Springerplus. 2013;2:645. doi: 10.1186/2193-1801-2-645 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Fenta M, Jordaan A, Melka Y. Vulnerability of Southern Afar pastoralists to climate variability and change, Ethiopia. Jamba. 2019;11:575. doi: 10.4102/jamba.v11i1.575 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Annemer S, Farah A, Stambouli H, et al. Chemometric investigation and antimicrobial activity of Salvia rosmarinus spenn essential oils. Molecules. 2022;27:2914. doi: 10.3390/molecules27092914 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Lanzillotti HS, Barros ME, Afonso FDM, Barbosa RMS. [Instrument to evaluate the combination of foods to make iron more bioavailable in the diet]. Cien Saude Colet. 2018;23:4107–4118. Estonian. doi: 10.1590/1413-812320182312.192520161 [DOI] [PubMed] [Google Scholar]
- 6.Lu J-X, Song Q-M, Zhang X-C, et al. [Analysis of acupoints selection rules and efficacy evaluation of acupuncture and moxibustion for allergic rhinitis]. Zhen Ci Yan Jiu. 2023;48:44–52. Hausa. doi: 10.13702/j.1000-0607.20221110 [DOI] [PubMed] [Google Scholar]
- 7.Rouquette A, Falissard B. Sample size requirements for the internal validation of psychiatric scales. Int J Methods Psychiatr Res. 2011;20:235–249. doi: 10.1002/mpr.352 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Kang H. [A guide on the use of factor analysis in the assessment of construct validity]. J Korean Acad Nurs. 2013;43:587–594. doi: 10.4040/jkan.2013.43.5.587 [DOI] [PubMed] [Google Scholar]
- 9.Comrey AL. A First Course in Factor Analysis. Psychology Press; 2013. [Google Scholar]
- 10.Keller KG, Toriola AT, Schneider JK. Psychometric evaluation of the powe fatalism inventory. J Nurs Meas. 2024;32:445–454. doi: 10.1891/JNM-2023-0010 [DOI] [PubMed] [Google Scholar]
- 11.Pretorius TB, Padmanabhanunni A. A unidimensional short form of the Beck Hopelessness Scale (BHS-7) derived using item response theory. Sci Rep. 2024;14:6021. doi: 10.1038/s41598-024-56792-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Golz C, Hahn S, Zwakhalen SMG. Psychometric validation of the digital competence questionnaire for nurses. SAGE Open Nurs. 2024;10:23779608241272641. doi: 10.1177/23779608241272641 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Caballo VE, Salazar IC, Arias V, Hofmann SG, Curtiss J. Psychometric properties of the Liebowitz Social Anxiety Scale in a large cross-cultural Spanish and Portuguese speaking sample. Braz J Psychiatry. 2019;41:122–130. doi: 10.1590/1516-4446-2018-0006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Ye M, Zhang L, Yuan A-H, Xie H-Y, Xia Y, Yang J. Rules of acupoint selection in treatment of cancer-related insomnia with acupuncture and moxibustion based on data mining technology. Zhen Ci Yan Jiu. 2024;49:726–735. doi: 10.13702/j.1000-0607.20240085 [DOI] [PubMed] [Google Scholar]
- 15.Zhang C-Y, Yang Y-Z, Luo Y, et al. [Analysis on the clinical advantages and the rules of acupoint selection in treatment of chronic obstructive pulmonary disease with the integration of acupuncture and medication based on data mining]. Zhen Ci Yan Jiu. 2025;50:232–242. Hausa. doi: 10.13702/j.1000-0607.20231122 [DOI] [PubMed] [Google Scholar]
- 16.Zhang Y-W, Cheng G-Y, Wang X, Cheng W-P. [Analysis of mechanism of core points in acupuncture and moxibustion treatment for epilepsy based on data mining]. Zhen Ci Yan Jiu. 2024;49:415–423. Hausa. doi: 10.13702/j.1000-0607.20230019 [DOI] [PubMed] [Google Scholar]
- 17.Chen -X-X, Tang L-J, Ren D, Zhao L-H. [Analysis on acupoint compatibility regularity and application characteristics of moxibustion in the treatment of cognitive disorders]. Zhen Ci Yan Jiu. 2025;50:694–702. Hausa. doi: 10.13702/j.1000-0607.20241054 [DOI] [PubMed] [Google Scholar]
