收费全文 | 162篇 |
免费 | 13篇 |
国内免费 | 8篇 |
耳鼻咽喉 | 2篇 |
儿科学 | 5篇 |
妇产科学 | 4篇 |
基础医学 | 24篇 |
口腔科学 | 24篇 |
临床医学 | 11篇 |
内科学 | 33篇 |
皮肤病学 | 6篇 |
神经病学 | 6篇 |
特种医学 | 1篇 |
外科学 | 11篇 |
综合类 | 7篇 |
预防医学 | 11篇 |
眼科学 | 4篇 |
药学 | 17篇 |
中国医学 | 1篇 |
肿瘤学 | 16篇 |
2023年 | 3篇 |
2022年 | 7篇 |
2021年 | 2篇 |
2020年 | 6篇 |
2019年 | 13篇 |
2018年 | 17篇 |
2017年 | 2篇 |
2016年 | 12篇 |
2015年 | 9篇 |
2014年 | 6篇 |
2013年 | 10篇 |
2012年 | 17篇 |
2011年 | 14篇 |
2010年 | 8篇 |
2009年 | 7篇 |
2008年 | 7篇 |
2007年 | 8篇 |
2006年 | 8篇 |
2005年 | 6篇 |
2004年 | 3篇 |
2003年 | 8篇 |
2002年 | 5篇 |
1999年 | 2篇 |
1997年 | 1篇 |
1989年 | 1篇 |
1982年 | 1篇 |
Background
Mustard gas, a known chemical weapon, was used during the Iran-Iraq war of 1980-1988. We aimed to determine if exposure to mustard gas among men was significantly associated with abnormalities and disorders among progenies.Methods
Using a case-control design, we identified all progenies of Sardasht men (exposed group, n = 498), who were born at least nine months after the exposure, compared to age-matched controls in Rabat, a nearby city (non-exposed group, n = 689). We conducted a thorough medical history, physical examination, and appropriate paraclinical studies to detect any physical abnormality and/or disorder. Given the presence of correlated data, we applied Generalized Estimating Equation (GEE) multivariable models to determine associations.Results
The overall frequency of detected physical abnormalities and disorders was significantly higher in the exposed group (19% vs. 11%, Odds Ratio [OR] 1.93, 95% Confidence Interval [CI], 1.37-2.72, P = 0.0002). This was consistent across sexes. Congenital anomalies (OR 3.54, 95% CI, 1.58-7.93, P = 0.002) and asthma (OR, 3.12, 95% CI, 1.43-6.80, P = 0.004) were most commonly associated with exposure. No single abnormality was associated with paternal exposure to mustard gas.Conclusion
Our study demonstrates a generational effect of exposure to mustard gas. The lasting effects of mustard gas exposure in parents effects fertility and may impact child health and development in the long-term. 相似文献Background
Gestational weight gain (GWG) proportional to body mass index before pregnancy is one of the factors on maternal and neonatal outcomes. The aim of the current study was to assess association between GWG, and cesarean section, birth weight and gestational age at birth in women with normal BMI prior to pregnancy.Methods
This was a cross-sectional study carried out in 103 hospitals in Tehran, the capital of Iran, from July 6 to 21, 2015. The data were extracted by 103 trained midwives. Finally, 2394 pregnant women with normal BMI before pregnancy and singleton birth were examined. GWG was categorized based on Institute of Medicine (IOM) recommendations.Results
Prevalence of low birth weight (LBW) was 5.41% and prevalence of macrosomia was 2.18%. The prevalence of LBW in women with GWG less than the weight gain recommended by IOM was 2.13 times [95% confidence interval (CI) 1.13–4.02, P = 0.019] more than in women with GWG equal to the weight gain recommended by IOM. There was no statistically significant difference in the prevalence of LBW between women with GWG more than recommended weight gain by IOM and women with GWG equal to the weight gain recommended by IOM (OR = 1.21, 95% CI 0.61–2.38, P = 0.580).Conclusion
After controlling for confounding variables, the prevalence of cesarean section and preterm birth had no significant difference at various levels of GWG. Accordingly, the prevalence of LBW among women with GWG less than the recommended weight gain by IOM was significantly 2.13 more than that among women with GWG equal to the recommended weight gain by IOM.Method: This nested case–control study was carried out on 270 pregnant women with preeclampsia as the case group and 270 pregnant women who did not have symptoms of preeclampsia at the time of referral were interviewed according to inclusion criteria as the control group. The factors studied included age, body mass index, history of hypertension in mother, history of diabetes in mother, history of lupus in mother, number of pregnancies, history of preeclampsia in previous pregnancies, twin or more pregnancies, season of occurrence, maternal educational level, maternal blood group, maternal occupation status, infant’s sex and smoking status which were compared etween the two groups. t test and Chi-square tests were used to compare the variables in both groups. Fisher's exact test or Mann–Whitney U test was used if necessary.
Findings: Of the 6929 pregnant women who participated in our study, 541 (7.8%) had preeclampsia. The means of body mass index (BMI) (24.86% versus 23.52%) (P = 0.032), the history of hypertension (19.3% versus 10.7%) (P = 0.006), history of preeclampsia in previous pregnancies (60.2% versus 13.3%) (P < 0.001), low level of education and illiteracy (51.1% versus 39.6%) (P = 0.028), and twin or more pregnancies (5.6% versus 2.2%) (P = 0.045) were significantly higher in the case group when compared to the control group. There was no statistically significant difference between the mean and standard deviation of age and number of pregnancies and the frequency of diabetes and lupus, the frequency of maternal occupation, maternal smoking, maternal blood group, and season of occurrence in the two groups (P > 0.05).
Conclusion: Maternal BMI, maternal hypertension, history of preeclampsia in previous pregnancies, low maternal educational status, and twin or multiple pregnancies might be the risk factors for preeclampsia during pregnancy. 相似文献