International Evidence‐Based Guidelines for Traditional Chinese Medicine Management of Allergic Rhinitis
Bibliographic record
Abstract
Allergic rhinitis (AR) is a prevalent chronic condition that significantly impacts patients' quality of life and poses challenges to effective management. Traditional Chinese medicine (TCM) offers a holistic approach, emphasizing syndrome differentiation, individualized care, and natural treatment strategies. To develop comprehensive evidence-based guidelines for AR management using TCM interventions, incorporating rigorous evidence assessment and expert consensus. The guidelines were developed using the GRADE-TCM framework, analyzing 351 randomized controlled trials (RCTs) involving 43,276 participants. Supplementary evidence from published textbooks, standardized documents, ancient literature, and TCM medical records was incorporated. Five rounds of expert consensus, involving 80 expert person-times and over 10,000 valid responses, refined the recommendations. The guidelines provide 32 recommendations covering four primary TCM syndromes (Deficiency-cold of Lung Qi, Spleen Qi Deficiency and Weakness, Kidney-yang Deficiency, and Latent Heat in Lung Meridian) which are mainly involved in AR. These recommendations include both internal interventions (such as herbal and patent medicines) and external therapies (such as acupuncture, moxibustion, and other acupoint-based treatment). Of these interventions, 10 received strong recommendations, while 22 were classified as weak recommendations. TCM treatments demonstrated significant efficacy in alleviating AR symptoms, reducing recurrence, and improving quality of life. Additionally, TCM can complement conventional AR treatments by reducing the need for pharmacological therapy while maintaining a favorable safety profile. The guidelines integrate classical TCM principles with modern evidence-based methodologies, offering a structured framework for AR management. They serve as clinical references for practitioners worldwide, supporting a promising approach to AR treatment. Future updates will incorporate emerging evidence and real-world clinical data to further optimize the role of TCM in AR management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".