133 related articles for article (PubMed ID: 38502111)
1. Validation of an Updated Algorithm to Identify Patients With Incident Non-Small Cell Lung Cancer in Administrative Claims Databases.
Patel SP; Wang R; Zhou SQ; Sheinson D; Johnson A; Lee JS
JCO Clin Cancer Inform; 2024 Mar; 8():e2300165. PubMed ID: 38502111
[TBL] [Abstract][Full Text] [Related]
2. How to discriminate non-small cell lung cancer (NSCLC) cases from an Italian administrative database? A retrospective, secondary data use study for evaluating a novel algorithm performance.
Balzi W; Roncadori A; Danesi V; Massa I; Manunta S; Gentili N; Delmonte A; Crinò L; Altini M
BMJ Open; 2021 Sep; 11(9):e048188. PubMed ID: 34561258
[TBL] [Abstract][Full Text] [Related]
3. Development and electronic health record validation of an algorithm for identifying patients with Duchenne muscular dystrophy in US administrative claims.
Schrader R; Posner N; Dorling P; Senerchia C; Chen Y; Beaverson K; Seare J; Garnier N; Walker V; Alvir J; Mahn M; Merla V; Zhang Y; Landis C; Buikema AR
J Manag Care Spec Pharm; 2023 Sep; 29(9):1033-1044. PubMed ID: 37610111
[No Abstract] [Full Text] [Related]
4. Validation of a claims-based algorithm for identifying non-infectious pneumonitis in patients diagnosed with lung cancer.
Neibart SS; Portal DE; Malhotra J; Jabbour SK; Roy JA; Strom BL
Pharmacoepidemiol Drug Saf; 2021 Dec; 30(12):1624-1629. PubMed ID: 34378828
[TBL] [Abstract][Full Text] [Related]
5. Utility of administrative claims data for the study of brain metastases: a validation study.
Eichler AF; Lamont EB
J Neurooncol; 2009 Dec; 95(3):427-431. PubMed ID: 19562256
[TBL] [Abstract][Full Text] [Related]
6. Validation of Claims Algorithms for Progression to Metastatic Cancer in Patients with Breast, Non-small Cell Lung, and Colorectal Cancer.
Nordstrom BL; Simeone JC; Malley KG; Fraeman KH; Klippel Z; Durst M; Page JH; Xu H
Front Oncol; 2016; 6():18. PubMed ID: 26870695
[TBL] [Abstract][Full Text] [Related]
7. Ten-year patient journey of stage III non-small cell lung cancer patients: A single-center, observational, retrospective study in Korea (Realtime autOmatically updated data warehOuse in healTh care; UNIVERSE-ROOT study).
Jung HA; Sun JM; Lee SH; Ahn JS; Ahn MJ; Park K
Lung Cancer; 2020 Aug; 146():112-119. PubMed ID: 32526601
[TBL] [Abstract][Full Text] [Related]
8. Sensitivity of administrative claims to identify incident cases of lung cancer: a comparison of 3 health plans.
Ramsey SD; Scoggins JF; Blough DK; McDermott CL; Reyes CM
J Manag Care Pharm; 2009 Oct; 15(8):659-68. PubMed ID: 19803555
[TBL] [Abstract][Full Text] [Related]
9. Validation of a Case-Finding Algorithm for Identifying Patients with Non-small Cell Lung Cancer (NSCLC) in Administrative Claims Databases.
Turner RM; Chen YW; Fernandes AW
Front Pharmacol; 2017; 8():883. PubMed ID: 29249970
[No Abstract] [Full Text] [Related]
10. Identifying incident colorectal and lung cancer cases in health service utilisation databases in Australia: a validation study.
Goldsbury D; Weber M; Yap S; Banks E; O'Connell DL; Canfell K
BMC Med Inform Decis Mak; 2017 Feb; 17(1):23. PubMed ID: 28241763
[TBL] [Abstract][Full Text] [Related]
11. Development and validation of a case-finding algorithm for the identification of non-small cell lung cancers in a region-wide Italian pathology registry.
Spini A; Rosellini P; Bellan C; Furiesi F; Giorgi S; Donnini S; Gini R; Ziche M; Salvo F; Roberto G
PLoS One; 2022; 17(6):e0269232. PubMed ID: 35675338
[TBL] [Abstract][Full Text] [Related]
12. Development and Validation of Coding Algorithms to Identify Patients with Incident Non-Small Cell Lung Cancer in United States Healthcare Claims Data.
Beyrer J; Nelson DR; Sheffield KM; Huang YJ; Lau YK; Hincapie AL
Clin Epidemiol; 2023; 15():73-89. PubMed ID: 36659903
[TBL] [Abstract][Full Text] [Related]
13. Accuracy of identifying diagnosis of moderate to severe chronic kidney disease in administrative claims data.
Paik JM; Patorno E; Zhuo M; Bessette LG; York C; Gautam N; Kim DH; Kim SC
Pharmacoepidemiol Drug Saf; 2022 Apr; 31(4):467-475. PubMed ID: 34908211
[TBL] [Abstract][Full Text] [Related]
14. Development and validation of coding algorithms to identify patients with incident lung cancer in United States healthcare claims data.
Beyrer J; Nelson DR; Sheffield KM; Huang YJ; Ellington T; Hincapie AL
Pharmacoepidemiol Drug Saf; 2020 Nov; 29(11):1465-1479. PubMed ID: 33012044
[TBL] [Abstract][Full Text] [Related]
15. Classifying Stage IV Lung Cancer From Health Care Claims: A Comparison of Multiple Analytic Approaches.
Brooks GA; Bergquist SL; Landrum MB; Rose S; Keating NL
JCO Clin Cancer Inform; 2019 May; 3():1-19. PubMed ID: 31070985
[TBL] [Abstract][Full Text] [Related]
16. Validation of claims-based algorithms to identify interstitial lung disease in patients with rheumatoid arthritis.
Cho SK; Doyle TJ; Lee H; Jin Y; Tong AY; Ortiz AJS; Sparks JA; Kim SC
Semin Arthritis Rheum; 2020 Aug; 50(4):592-597. PubMed ID: 32480097
[TBL] [Abstract][Full Text] [Related]
17. The Design and Validation of a New Algorithm to Identify Incident Fractures in Administrative Claims Data.
Wright NC; Daigle SG; Melton ME; Delzell ES; Balasubramanian A; Curtis JR
J Bone Miner Res; 2019 Oct; 34(10):1798-1807. PubMed ID: 31170317
[TBL] [Abstract][Full Text] [Related]
18. Application of Recursive Partitioning to Derive and Validate a Claims-Based Algorithm for Identifying Keratinocyte Carcinoma (Nonmelanoma Skin Cancer).
Chan AW; Fung K; Tran JM; Kitchen J; Austin PC; Weinstock MA; Rochon PA
JAMA Dermatol; 2016 Oct; 152(10):1122-1127. PubMed ID: 27533718
[TBL] [Abstract][Full Text] [Related]
19. Leveraging Linkage of Cohort Studies With Administrative Claims Data to Identify Individuals With Cancer.
Bronson MR; Kapadia NS; Austin AM; Wang Q; Feskanich D; Bynum JPW; Grodstein F; Tosteson ANA
Med Care; 2018 Dec; 56(12):e83-e89. PubMed ID: 29334524
[TBL] [Abstract][Full Text] [Related]
20. Implementation of an algorithm for the identification of breast cancer deaths in German health insurance claims data: a validation study based on a record linkage with administrative mortality data.
Langner I; Ohlmeier C; Haug U; Hense HW; Czwikla J; Zeeb H
BMJ Open; 2019 Jul; 9(7):e026834. PubMed ID: 31350240
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
