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Biomedical subjects

Y B Xiang

Publications and source records attributed to Y B Xiang.

7 recordsLinked to original sources
PubMed2005

A case-control study in Shanghai of fruit and vegetable intake and endometrial cancer.

In a population-based case-control study of 832 incident endometrial cancer cases and 846 frequency-matched controls among Chinese women in Shanghai, using a validated food-frequency questionnaire, dietary habits were estimated by in-person interviews. Total vegetable consumption was inversely associated with endometrial cancer risk (highest quartile vs lowest: OR=0.69, 95% CI 0.50-0.96). The risk was reduced with increasing intake of dark green/dark yellow vegetables (trend test, P=0.02), fresh legumes (trend test, P<0.01), and allium vegetables (trend test, P=0.04). Fruit consumption was unrelated to risk. These results suggest that high consumption of certain vegetables may reduce the risk of endometrial cancer.

Adult↗
PubMed2000

Preserved foods in relation to risk of nasopharyngeal carcinoma in Shanghai, China.

A population-based case-control study was conducted in Shanghai, China, to investigate the association between dietary factors and risk of nasopharyngeal carcinoma (NPC). The study included 935 NPC patients aged 15 to 74 years and 1,032 community controls. Exposures to salted fish and other protein-containing preserved food were associated with increased risk of NPC. Individuals who ate salted fish at least once a week had an 80% increase in risk of NPC relative to those who ate salted fish less than once a month (p = 0.07). Compared with those in the lowest quartile of protein-containing preserved foods, subjects in the highest quartile of intake experienced a statistically significant 78% increase in risk of NPC [odds ratio (OR) = 1.78, 95% confidence interval (CI) = 1.37-2.31], with a dose-dependent relationship (p for linear trend < 0.001 ). A similar association between intake of preserved vegetables and NPC risk was observed (OR = 1.39, p for linear trend = 0.003). In contrast, high intake of oranges/tangerines was associated with a statistically significant reduction in risk of NPC (OR = 0.55, p for linear trend < 0.001). When we examined the joint effect of preserved food and oranges/tangerines on risk of NPC, subjects in the highest tertile of preserved food and the lowest tertile of orange/ tangerine intake had a 3-fold increase in risk (95% CI = 2.08-4.91) compared with those in the lowest tertile of preserved food and the highest tertile of orange/tangerine intake.

Adolescent↗
PubMed2000

Non-dietary risk factors for nasopharyngeal carcinoma in Shanghai, China.

A population-based case-control study was conducted in Shanghai, China, to investigate the associations between exposures to various non-dietary variables and risk of nasopharyngeal carcinoma (NPC). A total of 935 NPC patients and 1,032 community controls were included. Active cigarette smoking was a moderate risk factor for NPC [odds ratio (OR) = 1.28, 95% confidence interval (CI) 1.02-1.61]. Results were highly consistent between men and women. It is estimated that 12% of NPC cases in Shanghai, China, can be attributable to cigarette smoking. Among lifelong nonsmokers, there was a strong and statistically significant positive association between NPC risk and exposure to substantial secondhand smoke as a child or as an adult in women. However, the associations among lifelong nonsmoking men were weaker and not statistically significant. The gender differences in risk associated with passive smoking were either statistically significant or almost so. There were excess numbers of NPC patients compared with control subjects who had a history of chronic ear and nose disease (OR = 1.96, 95% CI 1.56-2.46) and a family history of NPC (OR = 7.47, 95% CI 2.14-12.88).

Adolescent↗
PubMed1999

Study of prognostic predictors for non-small cell lung cancer.

BACKGROUND: The outcome of treatment in non-small cell lung cancer (NSCLC) remains poor. One of the reasons is that in many patients its biological behavior does not follow a definite pattern, and can not be accurately predicted prior to treatment. In the present study we have examined the significant prognostic predictors. METHODS: One hundred and fifty-eight patients with NSCLC entered this study. They received surgery alone (95 cases) or combined therapy with postoperative irradiation (63 cases). Three types of data have been collected: (1) clinical characteristics: age, sex, Karnofsky performance status, weight loss, T stage, and N stage; (2) histopathology studies: histological types, tumor differentiation, status of vascular and lymphatic vessel invasions; (3) laboratory measurements by immunohistochemistry assay: oncoprotein overexpression, including pan-ras, c-myc, neu, epidermal growth factor receptor (EGFR) and p53, and tumor cell proliferation by proliferating cell nuclear antigen (PCNA). RESULTS: For the entire group, 5-year actuarial survival, local control and distant metastasis rates were 44, 63 and 40%, respectively. In the univariate analyses, T stage, N stage and lymphatic vessel invasion correlated to survival; T stage and N stage to local control; N stage, lymphatic vessel invasion and pan-ras protein positive stain to distant metastasis. When the index of oncoprotein positive stains was used, the higher index was associated with a higher distant metastasis rate. In the multivariate analyses, T stage, N stage and lymphatic vessel invasion could be independent predictors for survival; T stage for local control; N stage, lymphatic vessel invasion and index of positive oncoprotein stains for distant metastasis. CONCLUSIONS: Late T and N stages, lymphatic vessel invasion and multi-oncoprotein positive stains would predict poor prognoses for NSCLC.

Actuarial Analysis↗
PubMed1995

[Five methods for the estimation of confidence intervals on survival rate].

Descriptive analysis on medical follow-up data often involves estimation of survival rates, such as Kaplan-Meier product limit estimator or life table survival rate for small or large scale data sets, respectively. Five methods for estimating the confidence intervals (CI) of survival rates were described. These methods for estimation of intervals were the classic (based on Greenwood's formula), correctness, arcsine transformation, log (-log) transformation and logit transformation. Two examples were described in detailed for the calculation of 95% confidence intervals.

Confidence Intervals↗