A prescription for eliminating lung tumor accumulation

Abstract

The invention provides a lung tumor eliminating accumulation formula, in particular to a lung tumor eliminating accumulation formula for treating advanced non-small cell lung cancer with mixed phlegm and blood stasis. The mother uses the method of clearing the lungs and reducing phlegm, turmeric and curcuma to promote qi and relieve pain, cat's claw, honeycomb, and yew to relieve swelling and stagnation, rhodiola tonify qi and clear the lungs, and raw coix seed to strengthen the spleen and dampness. Shi, reducing phlegm and removing blood stasis and strengthening the body, the compatibility is appropriate, and the preliminary observation shows that the clinical curative effect is reliable. In this study, by comparing the progression-free survival, quality of life, and TCM symptom scores between the two groups, the efficacy of Lungliu Xiaoji Formula in the treatment of advanced non-small cell lung cancer with intermingled phlegm and blood stasis was verified, providing a scientific theoretical basis for the clinical treatment of lung cancer At the same time, it will establish a foundation for the follow-up research on the mechanism of traditional Chinese medicine in the treatment of lung cancer from the perspective of cytology or gene.

Description

technical field [0001] The invention relates to the technical field of traditional Chinese medicines, in particular to a lung tumor eliminating accumulation formula for treating advanced non-small cell lung cancer with intermingled phlegm and blood stasis. Background technique [0002] Lung cancer is one of the common malignant tumors. Its morbidity and mortality have risen rapidly in the past 100 years. Chinese medicine has become an important part of lung cancer treatment. Traditional Chinese medicine has shown certain curative effects and advantages in many aspects, such as stabilizing tumor focus, prolonging the survival time with tumor, increasing the immune function of the body, improving clinical symptoms, improving the quality of life, and reducing the side effects of radiotherapy and chemotherapy. In traditional Chinese medicine, lung cancer is classified into categories such as "cough", "lung accumulation", "hemoptysis", "chest pain", "cardiac", "pulmonary gangren...

AI Technical Summary

Problems solved by technology

[0005] In recent years, Chinese medicine has made great progress in the treatment of lung cancer, but there are still some major problems. For example, the current TCM syndrome classification of lung cancer is relatively scattered, and most of the syndrome types are divided based on personal experience, lacking unified and standardized standards , although it can reflect the distribution of lung cancer syndromes to a certain extent, it is unavoidable to be mixed with individual subjective factors, and the number of patients observed by individuals is limited, so it is difficult to represent and reflect the overall situation. Academic exchanges have also affected the formulation of standardized diagnosis and treatment of lung cancer; in terms of clinical research, research is often limited to one unit or a few units, the sample size is insufficient, and the sample selection lacks randomness, resulting in weak convincing research results , cannot represent the group situation; in terms of experimental research, whether it is immune indicators, trace elements, changes in blood rheology, or new targets, most of them just borrow traditional Chinese medicine to repeat the known pharmacological pathways or apply Western medicine research and development models. The classification of TCM syndromes and the research on the essence of syndromes are not specific; there is a lack of efficacy evaluation criteria after TCM treatment, and the evaluation criteria of solid tumors in Western medicine are not suitable for the embodiment of the advantages of TCM in the treatment of lung cancer, and the actual clinical efficacy There is a big gap, and it is urgent to establish new standards suitable for traditional Chinese medicine

Images