Cargando…

Development and Validation of an Algorithm to Identify Endometrial Adenocarcinoma in US Administrative Claims Data

BACKGROUND: Endometrial adenocarcinoma is the most prevalent type of endometrial cancer. Diagnostic codes to identify endometrial adenocarcinoma in administrative databases, however, have not been validated. OBJECTIVE: To develop and validate an algorithm for identifying the occurrence of endometria...

Descripción completa

Detalles Bibliográficos
Autores principales:	Esposito, D. B., Banerjee, G., Yin, R., Russo, L., Goldstein, S., Patsner, B., Lanes, S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6875184/ https://www.ncbi.nlm.nih.gov/pubmed/31781220 http://dx.doi.org/10.1155/2019/1938952

Ejemplares similares

Validation of an algorithm for identifying MS cases in administrative health claims datasets
por: Culpepper, William J., et al.
Publicado: (2019)

Development and Validation of an Algorithm to Identify Patients with Multiple Myeloma Using Administrative Claims Data
por: Princic, Nicole, et al.
Publicado: (2016)

Validation of Algorithms to Identify Bone Metastases Using Administrative Claims Data in a Japanese Hospital
por: Hirano, Takahiro, et al.
Publicado: (2023)

Validation of algorithms to identify colorectal cancer patients from administrative claims data of a Japanese hospital
por: Hirano, Takahiro, et al.
Publicado: (2023)

Validation of claims data algorithms to identify nonmelanoma skin cancer
por: Eide, Melody J., et al.
Publicado: (2012)

Identifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithms
por: Mathai, Stephen C., et al.
Publicado: (2019)

Derivation and Validation of Algorithms to Identify Patients With Immunoglobulin‐G4‐Related Disease Using Administrative Claims Data
por: Wallace, Zachary S., et al.
Publicado: (2022)

Evaluation of the accuracy of algorithms to identify soft tissue sarcoma (STS) in administrative claims
por: Princic, Nicole, et al.
Publicado: (2020)

Validation of Operational Definition to Identify Patients with Osteoporotic Hip Fractures in Administrative Claims Data
por: Lee, Young-Kyun, et al.
Publicado: (2022)

4486 Assessing the Validity of an ICD-9 and ICD-10 Coding Algorithm for Identifying Cervical Premalignant Lesions Using Administrative Claims Data
por: Shing, Jaimie Zhi, et al.
Publicado: (2020)

Derivation and preliminary validation of an administrative claims-based algorithm for the effectiveness of medications for rheumatoid arthritis
por: Curtis, Jeffrey R, et al.
Publicado: (2011)

Validation of a method for identifying nursing home admissions using administrative claims
por: Zuckerman, Ilene H, et al.
Publicado: (2007)

Use of a medication-based algorithm to identify advanced Parkinson's disease in administrative claims data: Associations with claims-based indicators of disease severity
por: Dahodwala, Nabila, et al.
Publicado: (2020)

Identifying Breast Cancer Recurrence in Administrative Data: Algorithm Development and Validation
por: Holloway, Claire M. B., et al.
Publicado: (2022)

Validation of a Case-Finding Algorithm for Identifying Patients with Non-small Cell Lung Cancer (NSCLC) in Administrative Claims Databases
por: Turner, Ralph M., et al.
Publicado: (2017)

The Validity of Claims-Based Algorithms to Identify Serious Hypersensitivity Reactions and Osteonecrosis of the Jaw
por: Wright, Nicole C., et al.
Publicado: (2015)

Chart validation of an algorithm for identifying hereditary progressive muscular dystrophy in healthcare claims
por: Chen, Xiaoxue, et al.
Publicado: (2019)

Validation of a claims‐based algorithm to identify cases of ulcerative colitis in Japan
por: Ogino, Haruei, et al.
Publicado: (2021)

An Algorithm for the Identification of Undiagnosed COPD Cases Using Administrative Claims Data
por: Mapel, Douglas W., et al.
Publicado: (2006)

Analysis of dementia in the US population using Medicare claims: Insights from linked survey and administrative claims data
por: Chen, Yi, et al.
Publicado: (2019)

Identifying and characterizing COPD patients in US managed care. A retrospective, cross-sectional analysis of administrative claims data
por: Mapel, Douglas W, et al.
Publicado: (2011)

Validation of an Algorithm to Identify Venous Thromboembolism in Health Insurance Claims Data Among Patients with Rheumatoid Arthritis
por: Kim, Sangmi, et al.
Publicado: (2023)

Development and Validation of an Inflammatory Bowel Disease Severity Index Using US Administrative Claims Data: A Retrospective Cohort Study
por: Chen, Grace, et al.
Publicado: (2020)

Validation of coding algorithms for identifying people with viral hepatitis using claims data according to different standard references
por: Sheu, Ming-Jen, et al.
Publicado: (2022)

Validation of an administrative claims-based diagnostic code for pneumonia in a US-based commercially insured COPD population
por: Kern, David M, et al.
Publicado: (2015)

External validation of a claims-based algorithm for classifying kidney-cancer surgeries
por: Miller, David C, et al.
Publicado: (2009)

Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary
por: Fortin, Stephen P., et al.
Publicado: (2022)

Validation of claims-based algorithms for pulmonary arterial hypertension
por: Papani, Ravikanth, et al.
Publicado: (2018)

Identifying Patients With Inflammatory Bowel Diseases in an Administrative Health Claims Database: Do Algorithms Generate Similar Findings?
por: Ye, Yizhou, et al.
Publicado: (2019)

A common data model to assess cardiovascular hospitalization and mortality in atrial fibrillation patients using administrative claims and medical records
por: Panaccio, Mary P, et al.
Publicado: (2015)

Development and validation of a predictive model to identify patients at risk of severe COPD exacerbations using administrative claims data
por: Annavarapu, Srinivas, et al.
Publicado: (2018)

Intra-database validation of case-identifying algorithms using reconstituted electronic health records from healthcare claims data
por: Thurin, Nicolas H., et al.
Publicado: (2021)

Validation of a claims-based algorithm identifying eligible study subjects in the ADAPTABLE pragmatic clinical trial
por: Fishman, Ezra, et al.
Publicado: (2018)

Disease burden and cost of hidradenitis suppurativa: a retrospective examination of US administrative claims data
por: Marvel, Jessica, et al.
Publicado: (2019)

Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary
por: Fortin, Stephen P., et al.
Publicado: (2023)

Validity of Diagnostic Algorithms for Inflammatory Bowel Disease in Japanese Hospital Claims Data
por: Takahashi, Sayumi, et al.
Publicado: (2022)

Developing and validating an algorithm to identify incident chronic dialysis patients using administrative data
por: Gibertoni, Dino, et al.
Publicado: (2020)

Validation of Claims-Based Algorithm for Lyme Disease, Massachusetts, USA
por: Cocoros, Noelle M., et al.
Publicado: (2023)

Development of a machine learning algorithm based on administrative claims data for identification of ED anaphylaxis patient visits
por: Campbell, Ronna L., et al.
Publicado: (2022)

An administrative data validation study of the accuracy of algorithms for identifying rheumatoid arthritis: the influence of the reference standard on algorithm performance
por: Widdifield, Jessica, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_50f7ouai7879tsnev6dn1iaggq