The association between blood lipid and phlegm turbidity syndrome of angina pectoris: A systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: A series of case-control studies have been conducted to investigate the association between blood lipid and phlegm turbidity syndrome of angina pectoris, but produced inconsistent results. OBJECTIVE: We performed a meta-analysis to determine the association between blood lipid and phlegm turbidity syndrome of angina pectoris more precisely. METHODS: Manual screening as well as screening of the China National Knowledge Infrastructure (CNKI), Chinese Journal full-text database (VIP), Wanfang database (WF), ScienceDirect, Pubmed, the Cochrane Library, and Embase were carried out for relevant literature. The formula was translated to calculate the pooled mean value and standard deviation value. The "Newcastle-Ottawa Quality Assessment Scale: Case-Control Studies" (NOS) was taken to assess the quality of the included studies. The Revman 5.2.6 software provided by "The Cochrane Collaboration" was used to analyze the collected data. The subgroup analysis was established according to the sample size proportion between the test group and the control group. Sensitivity analysis was constructed by using two different effect models. Besides, a funnel plot was created to analyze potential publication bias. RESULTS: No statistically meaningful difference existed between the test group and control group of total cholesterol (TC) and low-density lipoprotein-cholesterol (LDL-C) in non-Qi and yin deficiency syndrome (QYDS) and non-Yang deficiency syndrome (YDS) subgroup, whereas the two biotic indicators in the test group were higher than the non-phlegm syndrome group in other subgroups. Triglyceride (TG) in phlegm syndrome group showed superior to non-phlegm syndrome group in the rest subgroups except for the non-CCS (Cold coagulating syndrome)-non-YDS subgroup. High-density lipoprotein-cholesterol (HDL-C) levels of the phlegm group were lower than that of the non-phlegm group in all subgroups. CONCLUSION: When comparing with Traditional Chinese Medicine (TCM) syndromes of asthenia nature, such as YDS, QYDS, and heart qi deficiency syndrome), the levels of TG, TC, and LDL-C were higher in phlegm turbidity syndrome. However, for sthenia syndromes such as Qi stagnation syndrome (QSS), heart blood stasis syndrome (HBSS), and CCS, there was no obvious difference. Furthermore, HDL-C levels in the phlegm turbidity group were lower than those of the non-phlegm group. Nevertheless, these results should be confirmed with further studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.033 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.032 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".