جستجوی مقالات مرتبط با کلیدواژه "multivariable" در نشریات گروه "پزشکی"

Gastric cancer (GC) is one of the conspicuous causes of cancer‑related death worldwide. Considering the mounting incidence of this cancer in developing countries such as Iran, determining the influential factors on the survival of involved patients is noteworthy. Hence, we aimed to ascertain the survival rates and the prognostic factors in our GC patients.

In this retrospective cohort study, data of 314 patients with GC in a referral cancer center in Hamadan province of Iran were studied. The outcome of our study was survival time and the influential factors were gender, age at diagnosis, tumor history, tumor grade, surgery history, radiotherapy history, stage of disease, metastasis history, and lymph node involvement. Kaplan − Meier method and log‑rank test were used for the calculation and comparing the survival curves and Cox‑proportional hazard model was used for the multivariable analysis of prognostic factors.

In a total of 314 GC patients, the median age at the diagnosis was 63 years (range: 21–92) with most patients (74.84%) being males. The median follow‑up time was 2.42 years, and the median survival time was 2 years. The multivariable cox analysis of overall survival (OS) indicated that having distant metastasis increased the hazard of death by about 2.5 times (P < 0.0001, heart rates [HR]: 2.53, 95% confidence interval [CI]: [1.71, 3.75]), and receiving surgery as treatment, decreased the hazard of death up to 36% (P = 0.02, HR: 0.64, 95%CI: [0.46–0.89]). The other variables did not have any significant effects on the OS.

The results of this study showed that lower survival (greater hazard of death) strongly and significantly associated with having distant metastasis in patients with GC and receiving surgery could significantly decrease the hazard of death in these patients instead.

Unplanned pregnancy is a public health problem that affects maternal and child health, including maternal death, abortion, and low birth weight. Consequently, the government established family planning for action to prevent and reduce the health problems for most disadvantaged women.

This study was to investigate the determinant factors of unplanned pregnancy among pregnant women in Ethiopia.

A Population based cross-sectional study was conducted from Ethiopian 2016 demographic healthsurvey data. A total of 3894 pregnant women were in clude dinthestudy and thesam pleswer eselected troughm ultistage stratified cluster sampling.Uni-variate and multiple logistic regression analysis was used toidentify factors associated with an unplanned pregnancy. Variables with p-value < 0.05 were identified assignificantfactors.

Among 3894 study pregnant, 31.05% of pregnancies was unplanned. The analysis result revealed that women whose age ≤ 30 years [AOR = 5.42, 95 % CI=2.38 - 12.34], women in rural [AOR=1.11, 95% CI=1.03 - 2.39], illiterate women [AOR=2.3,95% CI=2.02 - 4.09], women drinks alcohol [AOR=1.45,95% CI=1.31- 1.67], smoker women [AOR= 1.52, 95% CI 1.49 - 2.65 ],women chewing chat[AOR=1.66, 95% CI=1.66 1.18 - 2.33], unemployed women[AOR = 4.97, 95%CI=1.31-12.38] , poor economic level [AOR=8.42,95%CI=5.87- 14.39] and none-user contraceptive methods [AOR=1.7, 95% CI=1.14 – 3.87] were found to be associated with unplanned pregnancy(p < 0.05).

The prevalence of unplanned pregnancy in the study area was 32.05%. The findings suggest that certain groups of women are at increased risk of unplanned pregnancy and would benefit from targeted family planning interventions