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36 results on '"Iachina, Maria"'

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2. Colorectal cancer and association with anaerobic bacteraemia: A Danish nationwide population-based cohort study.

3. Children born preterm or small for gestational age to mothers with multiple sclerosis: Do these children have an increased risk of infections in early life?

4. Neonatal outcomes in women with Multiple Sclerosis - Influence of disease activity: A Danish nationwide cohort study.

5. Social factors and age play a significant role in cervical cancer and advanced-stage disease among Danish women.

6. Nurse navigation, symptom monitoring and exercise in vulnerable patients with lung cancer: feasibility of the NAVIGATE intervention.

7. Psychiatric disorders, diagnosed in psychiatric clinics, in patients with back pain: A cohort study.

8. Causes of Patient Nonattendance at Medical Appointments: Protocol for a Mixed Methods Study.

9. Effects of Demographic and Socio-Economic Factors on Investigation Time of Lung Cancer Patients in Denmark: A Retrospective Cohort Study.

10. Who are the vulnerable lung cancer patients at risk for not receiving first-line curative or palliative treatment?

11. Impact of C-reactive protein and albumin levels on short, medium, and long term mortality in patients with diffuse large B-cell lymphoma.

12. NAVIGATE: improving survival in vulnerable patients with lung cancer through nurse navigation, symptom monitoring and exercise - study protocol for a multicentre randomised controlled trial.

13. The clinical back pain courses described by information available in Danish central registries.

14. Association between head and neck cancer and sexually transmitted diseases: a Danish nationwide, case-control study.

15. Nationwide Introduction of Minimally Invasive Robotic Surgery for Early-Stage Endometrial Cancer and Its Association With Severe Complications.

16. Patient reported outcome data as performance indicators in surgically treated lung cancer patients.

17. Patient-reported outcomes (PROs) in lung cancer: Experiences from a nationwide feasibility study.

18. Colon cancer patients with a serious psychiatric disorder present with a more advanced cancer stage and receive less adjuvant chemotherapy - A Nationwide Danish Cohort Study.

19. Transfer between hospitals as a predictor of delay in diagnosis and treatment of patients with Non-Small Cell Lung Cancer - a register based cohort-study.

20. Detection of recurrence in early stage endometrial cancer - the role of symptoms and routine follow-up.

21. The nature of early-stage endometrial cancer recurrence-A national cohort study.

22. Predictors of mortality within 1 year after primary ovarian cancer surgery: a nationwide cohort study.

23. The mortality after surgery in primary lung cancer: results from the Danish Lung Cancer Registry.

24. The effect of different comorbidities on survival of non-small cells lung cancer patients.

25. Role of comorbidity on survival after radiotherapy and chemotherapy for nonsurgically treated lung cancer.

26. Incidence of cancer and mortality in patients from the Simvastatin and Ezetimibe in Aortic Stenosis (SEAS) trial.

27. The direct and indirect impact of comorbidity on the survival of patients with non-small cell lung cancer: a combination of survival, staging and resection models with missing measurements in covariates.

28. Nationwide quality improvement in lung cancer care: the role of the Danish Lung Cancer Group and Registry.

29. Measuring reliable change of emotional and behavioural problems in children.

30. CT-Screening for lung cancer does not increase the use of anxiolytic or antidepressant medication.

31. Serum peptide/protein profiling by mass spectrometry provides diagnostic information independently of CA125 in women with an ovarian tumor.

32. Candidate gene polymorphisms in the serotonergic pathway: influence on depression symptomatology in an elderly population.

33. Hair loss among elderly men: etiology and impact on perceived age.

34. ["Looking your age"--genetics and mortality].

36. Analysis of functional abilities for elderly Danish twins using GEE models.

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