Publications by authors named "Annalisa Granata"
COVID-19 pandemic raised concern about management of patients with paediatric cancer. We present the operating system that the Hemato-Oncology Department of the Santobono-Pausilipon Hospital applied. We divided our department in three zones: surveillance and screening; quarantine and COVID free, in order to screen admitted patients and to reduce the risk of cross infection.
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- The study evaluates how accurately ICD-9-CM codes identify new cases of carcinoma in situ and invasive breast cancer in three Italian regions.
- Sensitivity and specificity of these codes were assessed against medical charts, showing high accuracy rates, especially for invasive breast cancer (up to 100% sensitivity in some regions).
- The findings suggest that these administrative databases can effectively identify patients with breast cancer, facilitating research on new cases using the defined criteria.
Article Synopsis
- - The study aims to evaluate how accurately administrative datasets can identify primary breast cancer diagnoses using ICD-9 and ICD-10 codes based on a systematic review of relevant literature.
- - Out of 2929 records screened, 21 studies were included, revealing that sensitivity, positive predictive value, and specificity vary across studies, with algorithms demonstrating sensitivity of at least 80% in many cases.
- - The review concludes that while administrative databases can be useful for identifying primary breast cancer, the most effective method involves using ICD-9 codes in conjunction with other clinical data.
Unlabelled: To assess the accuracy of (ICD-9-CM) codes in identifying subjects with colorectal cancer.
Design: A diagnostic accuracy study comparing ICD-9-CM codes (index test) for colorectal cancers with medical chart (as a reference standard). Case ascertainment based on neoplastic lesion(s) within the colon/rectum and histological documentation from a primary or metastatic site positive for colorectal cancer.
Objectives: To assess the accuracy of International Classification of Diseases 9th Revision-Clinical Modification (ICD-9-CM) codes in identifying subjects with lung cancer.
Design: A cross-sectional diagnostic accuracy study comparing ICD-9-CM 162.x code (index test) in primary position with medical chart (reference standard).
Objectives: To assess the accuracy of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes in identifying subjects with melanoma.
Design: A diagnostic accuracy study comparing melanoma ICD-9-CM codes (index test) with medical chart (reference standard). Case ascertainment was based on neoplastic lesion of the skin and a histological diagnosis from a primary or metastatic site positive for melanoma.