Criteria for Evaluating Treatment Efficacy in Solid Tumors 2000.8.9

Criteria for Evaluating Treatment Efficacy in Solid Tumors 2000.8.9

I. Short-term efficacy: Comparison between the fourth week after treatment initiation and the pre-treatment state. CR: Complete remission, with disappearance of lesions and no new lesions appearing. PR: Partial remission, with lesion reduction of more than 50% and no new lesions appearing. MR: Mild remission, with lesion reduction of 25%–50%. SD: Stable, with lesion reduction of less than 25%. PD: Progression, with no reduction in lesions but rather enlargement.

II. Mid-term efficacy: Calculated starting from the fifth week after treatment initiation.

1. Remission phase: Duration of partial remission.
2. Complete remission phase: Period without any tumor presence.
3. Relapse phase: Occurrence of relapse during the remission phase.
4. Metastasis phase: Appearance of metastases.

III. Scoring criteria for general health status

1. Kazuay scoring system 100 points: Everything is normal, just like a healthy person. 90 points: Normal activities with mild symptoms. 80 points: Barely able to perform normal activities, with pain but not severe. 70 points: Able to take care of oneself, but unable to work normally. 60 points: Mostly self-sufficient, sometimes requiring assistance. 50 points: Mostly dependent on others. 40 points: Completely dependent on others, often requiring constant care. 30 points: Severe pain, requiring hospitalization. 20 points: Very ill, life-threatening. 10 points: Critically ill, at risk of death at any moment. 0 points: Deceased.

2. Zrshzod scoring system: Similar to the Kazuay system, except that 100 points are converted to 10° (10°–0°). IV. Standard deviation V. Test for significant difference Estimating the range of the population mean or rate based on the sample mean or rate; in medicine, the commonly used 95% confidence interval means that there is a 95% probability that the population mean or rate will fall within this range based on the sample data. If the lower limit of treatment using Method A is higher than the upper limit of Method B (with a 95% probability), then it indicates a significant difference, p < 0.05; if the probability is 99% (confidence interval), then p < 0.01, indicating a highly significant difference. X^2^ is the best choice for comparing two sets of data: first calculate the T value, then compute the chi-square value, and finally look up the p-value in the chi-square table. A p-value < 0.05 indicates a significant difference, while a p-value < 0.01 indicates a highly significant difference.