OBJECTIVES: The effects of hormone replacement therapy on the survival rate of female lung cancer patients are still controversial. The Meta-analysis aims to systematically evaluate the effect of hormone replacement therapy on the survival rate of female lung cancer patients. METHODS: Retrospective studies regarding the effect of hormone replacement therapy on female lung cancer patients' survival rate were searched from the database of Embase, Cochrane, Pubmed, CNKI, Wanfang, and Weipu. The Meta-analysis was conducted with Stata 12.0 software. test was used to analyze the heterogeneity among included studies. The analysis was conducted by randomized model. Egger's test and Begg's test were used to assess the publication bias. RESULTS: Five retrospective studies were included, involving 2 582 female patients with lung cancer. There were 1 054 cases of female lung cancer with hormone replacement therapy and 1 528 cases of female lung cancer without hormone replacement therapy. No publication bias was observed among these studies. The sensitivity analysis result showed that the overall results were stable. Meta-analysis showed that compared with patients without hormone replacement therapy, patients with hormone replacement therapy had an increased survival time for 5 years (ES=0.346; 95% CI 0.216 to 0.476; <0.001). CONCLUSIONS Hormone replacement therapy improves 5-year survival in female lung cancer patients. Female lung cancer patients with menopausal syndrome can use hormone replacement therapy properly under their doctors' suggestion.
Female ; Hormone Replacement Therapy ; Humans ; Lung Neoplasms ; drug therapy ; Retrospective Studies ; Survival Rate

OBJECTIVETo explore the prognostic significance of monosomal karyotype (MK) in patients with acute myeloid leukemia (AML).

METHODSThe clinical data of 498 AML patients were analyzed retrospectively.

RESULTSOf the 498 patients, 233 (46.8%) cases had an abnormal karyotype. 42 patients fulfilled the criteria for MK, which were 8.4% of all cases and 18.0% of patients with abnormal karyotype, respectively. The most frequent autosomal monosomies were -7 and -17. 70 patients had complex karyotype (CK), in all patients and patients with abnormal karyotype accounted for 14.1% and 30.0%, respectively. Patients with MK were associated with significantly older (median age 62.5 vs 52 years, P=0.003), and lower HGB concentrations (62.5 vs 77 g/L, P=0.009) and lower WBC counts (7.0×10⁹/L vs 11.7×10⁹/L, P=0.008). Among MK cases, the most frequent chromosome abnormalities were complex karyotype, -7, -5, 7q-, and 5q-. In univariate analysis, MK patients had worse survival than those without MK (7.3 months vs 26.3 months, P<0.001). CK patients also had poorer outcomes than patients without CK (14.8 months vs 26.3 months, P<0.001). In CK patients, survival was worse in MK patients than patients without MK (7.4 months vs 19.2 months, P=0.007). By COX analysis, MK was an independent prognostic factor, beyond NCCN criteria and CK [HR=2.610 (1.632-4.175), P<0.001].

CONCLUSIONMK was an independent adverse prognostic factor in AML patients.

Abnormal Karyotype ; Humans ; Karyotyping ; Leukemia, Myeloid, Acute ; Monosomy ; Prognosis ; Retrospective Studies

Abstract: To investigate the influence of acute myocardial infarction(AMI) combined with hypertension on its circadian rhythm. Methods: A total of 1 006 cases of AMI who underwent emergency percutaneous coronary intervention(PCI) surgery were collected continuously, and they were divided into a combined hypertension group and a non-combined hypertension group according to whether it was combined with hypertension. The day was divided into 4 and 12 time periods in units of 6 hours and 2 hours, and the number of cases and differences between the two groups in each time period were compared. Results: After propensity score matching(PSM), the two groups had different onsets in the 4 time periods of 0:00—5:59, 6:00—11:59, 12:00—17:59 and 18:00—23:59(P=0.014,0.045,0.035,0.016). After further subdividing the time into 12 time periods in units of 2 hours, the morning peak of the onset time of the hypertensive group was 10:00—11:59(P=0.004), and there was another peak at 2:00—3:59 in the morning(P=0.002). Multivariate Logistic regression indicated that compared with non-combined hypertension, AMI with hypertension had an increased risk of onset in the morning(6:00—11:59)(OR, 1.440; 95%CI, 1.089-1.904;P=0.011). Conclusion Hypertension affects the circadian rhythm of the onset of AMI and the peak time of onset, and it is a risk factor for the onset of AMI in the morning peak period(6:00—11:59).