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1.
Endocrinol Diabetes Nutr (Engl Ed) ; 70 Suppl 3: 50-58, 2023 Sep.
Article in English | MEDLINE | ID: mdl-37598005

ABSTRACT

OBJECTIVE: To evaluate the frequency of different types of cancer in patients diagnosed with hypothyroidism using big data methodology on the Savana Manager platform. METHODS: An observational, retrospective study was carried out using electronic medical record (EMR) data from the Hospital Universitario Puerta de Hierro Majadahonda (Madrid). Information from the EMRs was extracted using artificial intelligence techniques and analysed using the Savana Manager v3.0 software. Searches were performed using the term "hypothyroidism" and the terms corresponding to the tumours analysed. RESULTS: Of a total population of 506,749 patients, 23,570 (4.7%) were diagnosed with hypothyroidism. Patients with this diagnosis had a significantly higher frequency of cancer than that found in non-hypothyroid subjects (OR 2.09, 95% confidence interval [CI] 2.01-2.17). This higher frequency was found both in women (OR 1.99, 95% CI 1.90-2.08) and in men (OR 2.83, 95% CI 2.63-3.05). However, this higher frequency of cancer was not observed in hypothyroid patients older than 60 years (OR 0.97, 95% CI 0.92-1.02). Although the frequency of most of the neoplasms studied individually was higher in the population with hypothyroidism, we observed that hypothyroid patients over 60 years of age had a significant decrease in the frequency of prostate, lung, colorectal, and liver cancer. CONCLUSION: Data from this hospital cohort suggest that there is a significant association between the diagnosis of hypothyroidism and cancer. However, this association is less evident in hypothyroid patients older than 60 years.


Subject(s)
Hypothyroidism , Liver Neoplasms , Male , Humans , Female , Middle Aged , Aged , Prevalence , Artificial Intelligence , Big Data , Retrospective Studies , Hypothyroidism/epidemiology
2.
Endocrinol Diabetes Nutr (Engl Ed) ; 70(3): 179-188, 2023 Mar.
Article in English | MEDLINE | ID: mdl-37002122

ABSTRACT

OBJECTIVE: To determine the clinical-histological data associated comorbidities and the use of health resources of elderly patients with thyroid cancer. METHODS: An observational, retrospective study was carried out using data from the electronic medical record (EMR) of the Hospital Universitario Puerta de Hierro Majadahonda (Madrid, Spain). The information was extracted using artificial intelligence techniques and analysed using the Savana Manager 3.0 software. We differentiated between younger people (0-59 years) and older people (60 or more years) and, within this latter group, between people of advanced age (60-74 years) and elderly people (75 or more years). RESULTS: Of a total of 509,517 patients, 1781 (0.35%) were diagnosed with thyroid cancer. Compared to younger patients, older patients presented a lower proportion of papillary carcinoma (64.2% vs. 75.3%) as well as a higher proportion of follicular carcinoma (9.3% vs. 5.0%) and other histological types (26.5% vs. 19.7%; p < 0.001). Young people with thyroid cancer exhibited prevalences of risk factors and most of the cardiovascular diseases studied significantly higher than those found in the general population. Elderly patients, compared with those of advanced age, showed greater comorbidity. However, a trend towards a lower consumption of healthcare resources was observed when elderly patients were compared with those of advanced age. CONCLUSION: The clinical characteristics, comorbidities and consumption of health resources of patients with thyroid cancer vary markedly with age. Elderly patients are characterized by a high burden of comorbidities that is not accompanied by a notable increase in their consumption of health resources.


Subject(s)
Adenocarcinoma, Follicular , Thyroid Neoplasms , Humans , Aged , Adolescent , Middle Aged , Big Data , Retrospective Studies , Artificial Intelligence , Thyroid Neoplasms/epidemiology , Thyroid Neoplasms/pathology , Adenocarcinoma, Follicular/pathology
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