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Record W4206510179 · doi:10.1155/2022/2768444

The Efficacy and Safety of Zhengqing Fengtongning for Knee Osteoarthritis: A Systematic Review and Meta-Analysis of Randomized Clinical Trials

2022· review· en· W4206510179 on OpenAlexaboutno aff
Zeling Huang, Xiao Yan Mao, Junming Chen, Junjun He, Shanni Shi, Miao Gui, Hongjian Gao, Zhenqiang Hong

Bibliographic record

VenueEvidence-based Complementary and Alternative Medicine · 2022
Typereview
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACOsteoarthritisRandomized controlled trialMeta-analysisCochrane LibraryConfidence intervalStrictly standardized mean differenceInternal medicineVisual analogue scalePhysical therapyClinical trialAlternative medicinePathology

Abstract

fetched live from OpenAlex

Background. Zhengqing Fengtongning release tablet (ZQFTN) is a proprietary Chinese medicine preparation of sinomenine, the main active component of the traditional Chinese medicine (TCM) Sinomenium acutum. It is used in China as a complementary and alternative medicine (CAM) for knee osteoarthritis (KOA). The objective of this study was to evaluate the clinical efficacy and safety of ZQFTN in KOA treatment. Method. Randomized controlled trials of ZQFTN in KOA treatment were searched in PubMed, Cochrane Library, China National Knowledge Infrastructure, Chinese Scientific Journals Database, and Wanfang database. Two reviewers independently conducted the screening, extracted the data, and assessed the methodological quality. Statistical analysis was performed using RevMan 5.3 software. Results. Eighteen studies were assessed that included 1512 participants (757 in the treatment group and 755 in the control group). The results showed that compared with the control group, the Visual Analogue Scale (standardized mean difference (SMD) = −0.87, 95% confidence interval (CI): [−1.08, −0.66], <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>P</mi> <mo>&lt;</mo> <mn>0.001</mn> </math> ), Western Ontario and Mc Master University (WOMAC) Osteoarthritis Index pain score (SMD = −0.67, 95% CI: [−0.88, −0.46], <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mi>P</mi> <mo>&lt;</mo> <mn>0.001</mn> </math> ), WOMAC stiffness score (SMD = −0.53, 95% CI: [−0.86, −0.20], <math xmlns="http://www.w3.org/1998/Math/MathML" id="M3"> <mi>P</mi> <mo>=</mo> <mn>0.001</mn> </math> ), WOMAC function score (SMD = −0.76, 95% CI: [−0.97, −0.55], <math xmlns="http://www.w3.org/1998/Math/MathML" id="M4"> <mi>P</mi> <mo>&lt;</mo> <mn>0.001</mn> </math> ), serum interleukin-1β level (SMD = −4.36, 95% CI: [−6.41, −2.31], <math xmlns="http://www.w3.org/1998/Math/MathML" id="M5"> <mi>P</mi> <mo>&lt;</mo> <mn>0.001</mn> </math> ), and serum tumor necrosis factor-α level (SMD = −8.45, 95% CI: [−11.20, −5.69], <math xmlns="http://www.w3.org/1998/Math/MathML" id="M6"> <mi>P</mi> <mo>&lt;</mo> <mn>0.001</mn> </math> ) of the ZQFTN treatment group were lower, and the total effective rate was higher relative risk (RR = 1.15, 95% CI [1.07, 1.23], <math xmlns="http://www.w3.org/1998/Math/MathML" id="M7"> <mi>P</mi> <mo>&lt;</mo> <mn>0.001</mn> </math> ). There was no significant difference in the incidence of adverse reactions between the two groups (RR = 0.96, 95% CI: [0.69, 1.35], <math xmlns="http://www.w3.org/1998/Math/MathML" id="M8"> <mi>P</mi> <mo>=</mo> <mn>0.82</mn> </math> ). Conclusion. ZQFTN can effectively relieve knee pain, morning stiffness, and daily activity function disorders, reduce the expression of inflammatory factors in serum, and improve the total clinical response rate without increasing the incidence of adverse reactions. Therefore, ZQFTN has considerable potential as a CAM for KOA. However, due to the limitation of the quality of the included studies, the strength of this conclusion is affected. In the next step, multicenter, large sample, high-quality randomized controlled studies are needed to further confirm the present conclusion.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.037
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.527
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0370.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0260.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.395
GPT teacher head0.490
Teacher spread0.095 · 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; both teacher heads agree on what is shown here.

Study designMeta-analysis
Domainnot available
GenreReview

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

Citations11
Published2022
Admission routes1
Has abstractyes

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