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Record W4408489607 · doi:10.2196/63933

Efficacy And Safety of Acupoint Catgut Embedding for Perennial Allergic Rhinitis: Protocol for a Randomized Clinical Trial

2025· article· en· W4408489607 on OpenAlexvenueno aff
Zijie Cai, Chunxue Meng, Chunzhi Tang, Bin Guo

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsnot available
Fundersnot available
KeywordsPreprintMedicineProtocol (science)Randomized controlled trialAlternative medicineTraditional medicineSurgeryComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND: Allergic rhinitis (AR) is a noninfectious chronic inflammatory disease of the nasal mucosa characterized mainly by itching, sneezing, nasal congestion, and rhinorrhea. It is mediated by immunoglobulin E (IgE). AR is one of the most common allergic diseases globally, affecting 10% to 20% of the population worldwide, with some regions even reaching rates as high as 50%, posing a global health issue. The prevalence of AR has been increasing since the 1960s, with a significant increase in recent years. At present, modern medicine-including desensitization therapy, the use of antiallergic drugs, antihistamines, hormones, and other treatments-can improve symptoms or regulate the immune system. However, both short- and long-term efficacy remain limited, as symptoms often recur after treatment cessation, and long-term drug use is associated with toxicity and side effects. OBJECTIVE: Acupoint catgut embedding (ACE) therapy is widely used to treat AR in China. ACE therapy has been reported to be effective in managing the symptoms of AR, but the evidence faces methodological limitations. Therefore, we designed a parallel-arm, randomized controlled, multicentered, placebo-controlled, and single-blinded trial to evaluate the efficacy and safety of ACE therapy for AR. METHODS: This study will be a parallel-group, patient-blind, placebo-controlled randomized controlled trial conducted in the Third Affiliated Hospital of Sun Yat-sen University, Ningxia Chinese Medicine Research Center, and the Affiliated Hospital of Shanxi University of Traditional Chinese Medicine. The trial consists of a 4-week treatment period, along with a 3-month follow-up. After providing written informed consent, eligible participants will be randomized at a ratio of 1: 1 into one of 2 groups: the ACE group receiving treatment and the sham ACE group. Both groups will receive conventional loratadine treatment. RESULTS: The funding began in January 2022. The study was initiated on February 1, 2025, and will end in February 2026. Patient recruitment has already started, and the study results will be released in March 2026. CONCLUSIONS: We expect that this research will provide important insights into the efficacy of ACE treatment for AR and generate robust data for the foundation of future research in this field. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR2500095634; https://www.chictr.org.cn/historyversionpubEN.html?regno=ChiCTR2500095634. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/63933.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.058
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.019
Meta-epidemiology (narrow)0.0070.002
Meta-epidemiology (broad)0.0130.006
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0030.004
Open science0.0030.002
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0580.008

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.

Opus teacher head0.248
GPT teacher head0.592
Teacher spread0.344 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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