Publications by authors named "Consuelo Parejo"

This dataset comprises information about 1242 lung cancer patients collected by the Medical Oncology Department of the Puerta de Hierro University Hospital of Majadahonda in Madrid, Spain. It includes information about cancer diagnosis and treatment, as well as personal and medical data recorded during anamneses. The dataset could assist in data analysis with the aim of discovering relationships between the applied treatment(s), the evolution of the disease and the associated adverse effects.

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  • Sexual dysfunction (SD) is a common issue related to cancer treatments, but it hasn't been studied extensively, prompting this study involving Spanish patients to better understand its prevalence and characteristics.
  • The research included 383 patients (mostly women) and found that a high percentage reported sexual dissatisfaction, with notable differences in experiences based on cancer type, particularly among women with breast cancer.
  • The findings highlight the need for greater awareness and integration of sexual health assessments in the care of cancer patients, as many face significant sexual dysfunction post-treatment.
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  • Hodgkin lymphoma (HL) has high cure rates, but this study shows that long-term survivors experience significant morbidity and mortality, with a median overall survival of 30 years, particularly higher in women.
  • Among 383 HL patients studied, many developed late-stage disease and secondary malignancies, with cardiovascular disease being the most common cause of mortality.
  • Despite improvements in treatment over time, an alarming number of patients, especially those under 30 and women, still face excess mortality from treatment-related toxicity, urging the need for better monitoring and prevention programs.
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Background: Current prognosis in oncology is reduced to the tumour stage and performance status, leaving out many other factors that may impact the patient´s management. Prognostic stratification of early stage non-small-cell lung cancer (NSCLC) patients with poor prognosis after surgery is of considerable clinical relevance. The objective of this study was to identify clinical factors associated with long-term overall survival in a real-life cohort of patients with stage I-II NSCLC and develop a prognostic model that identifies features associated with poor prognosis and stratifies patients by risk.

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Background: Biological differences between the sexes have a major impact on disease and treatment outcome. In this paper, we evaluate the prognostic value of sex in stage IV non-small-cell lung cancer (NSCLC) in the context of routine clinical data, and compare this information with other external datasets.

Methods: Clinical data from stage IV NSCLC patients from Hospital Puerta de Hierro (HPH) were retrieved from electronic health records using big data analytics (N = 397).

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Follicular lymphoma (FL) is an indolent but largely incurable disease. Some patients suffer histological transformation to a more aggressive subtype with poorer prognosis. This study aimed to improve our understanding of the genetics underlying FL histological transformation, and to identify genetic drivers or promoters of the transformation by elucidating the differences between FL samples from patients who did and did not transform.

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If Electronic Health Records contain a large amount of information about the patient's condition and response to treatment, which can potentially revolutionize the clinical practice, such information is seldom considered due to the complexity of its extraction and analysis. We here report on a first integration of an NLP framework for the analysis of clinical records of lung cancer patients making use of a telephone assistance service of a major Spanish hospital. We specifically show how some relevant data, about patient demographics and health condition, can be extracted; and how some relevant analyses can be performed, aimed at improving the usefulness of the service.

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Introduction: Malignancies are one of the causes of mortality after lung transplantation. However, little is known about lung cancer outcome after lung transplantation.

Methods: We performed a retrospective search of the lung transplantation database at our institution to identify patients diagnosed with lung cancer after lung transplantation.

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