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Results: 1 to 20 of 109

Similar articles for PubMed (Select 24963021)

1.

Validity of claims-based stroke algorithms in contemporary Medicare data: reasons for geographic and racial differences in stroke (REGARDS) study linked with medicare claims.

Kumamaru H, Judd SE, Curtis JR, Ramachandran R, Hardy NC, Rhodes JD, Safford MM, Kissela BM, Howard G, Jalbert JJ, Brott TG, Setoguchi S.

Circ Cardiovasc Qual Outcomes. 2014 Jul;7(4):611-9. doi: 10.1161/CIRCOUTCOMES.113.000743. Epub 2014 Jun 24.

2.

Validation study of medicare claims to identify older US adults with CKD using the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

Muntner P, Gutiérrez OM, Zhao H, Fox CS, Wright NC, Curtis JR, McClellan W, Wang H, Kilgore M, Warnock DG, Bowling CB.

Am J Kidney Dis. 2015 Feb;65(2):249-58. doi: 10.1053/j.ajkd.2014.07.012. Epub 2014 Sep 19.

PMID:
25242367
3.

Claims-based algorithms for identifying Medicare beneficiaries at high estimated risk for coronary heart disease events: a cross-sectional study.

Thacker EL, Muntner P, Zhao H, Safford MM, Curtis JR, Delzell E, Bittner V, Brown TM, Levitan EB.

BMC Health Serv Res. 2014 Apr 29;14:195. doi: 10.1186/1472-6963-14-195.

4.

Comparison of Medicare claims versus physician adjudication for identifying stroke outcomes in the Women's Health Initiative.

Lakshminarayan K, Larson JC, Virnig B, Fuller C, Allen NB, Limacher M, Winkelmayer WC, Safford MM, Burwen DR.

Stroke. 2014 Mar;45(3):815-21. doi: 10.1161/STROKEAHA.113.003408. Epub 2014 Feb 13. Erratum in: Stroke. 2014 Apr;45(4):e69.

5.

Accuracy of Medicare claims-based diagnosis of acute myocardial infarction: estimating positive predictive value on the basis of review of hospital records.

Kiyota Y, Schneeweiss S, Glynn RJ, Cannuscio CC, Avorn J, Solomon DH.

Am Heart J. 2004 Jul;148(1):99-104.

PMID:
15215798
6.
7.

A systematic review of validated methods for identifying orthopedic implant removal and revision using administrative data.

Singh JA, Kundukulam JA, Bhandari M.

Pharmacoepidemiol Drug Saf. 2012 Jan;21 Suppl 1:265-73. doi: 10.1002/pds.2309. Review.

PMID:
22262616
8.

Validation of ICD-9 codes with a high positive predictive value for incident strokes resulting in hospitalization using Medicaid health data.

Roumie CL, Mitchel E, Gideon PS, Varas-Lorenzo C, Castellsague J, Griffin MR.

Pharmacoepidemiol Drug Saf. 2008 Jan;17(1):20-6.

PMID:
17979142
9.

Limited validity of diagnosis codes in Medicare claims for identifying cancer metastases and inferring stage.

Chawla N, Yabroff KR, Mariotto A, McNeel TS, Schrag D, Warren JL.

Ann Epidemiol. 2014 Sep;24(9):666-72, 672.e1-2. doi: 10.1016/j.annepidem.2014.06.099. Epub 2014 Jul 3.

PMID:
25066409
10.

Ability of Medicare claims data to identify nursing home patients: a validation study.

Koroukian SM, Xu F, Murray P.

Med Care. 2008 Nov;46(11):1184-7. doi: 10.1097/MLR.0b013e31817925d2.

11.

Evaluation of Medicare claims data to ascertain peripheral vascular events in the Women's Health Initiative.

Mell MW, Pettinger M, Proulx-Burns L, Heckbert SR, Allison MA, Criqui MH, Hlatky MA, Burwen DR; WHI PVD Writing Workgroup.

J Vasc Surg. 2014 Jul;60(1):98-105. doi: 10.1016/j.jvs.2014.01.056. Epub 2014 Mar 11.

PMID:
24636641
12.

Distinguishing screening from diagnostic mammograms using Medicare claims data.

Fenton JJ, Zhu W, Balch S, Smith-Bindman R, Fishman P, Hubbard RA.

Med Care. 2014 Jul;52(7):e44-51. doi: 10.1097/MLR.0b013e318269e0f5.

13.

Identification of individuals with CKD from Medicare claims data: a validation study.

Winkelmayer WC, Schneeweiss S, Mogun H, Patrick AR, Avorn J, Solomon DH.

Am J Kidney Dis. 2005 Aug;46(2):225-32.

PMID:
16112040
14.

Identifying newly approved medications in Medicare claims data: a case study using tocilizumab.

Curtis JR, Xie F, Chen R, Chen L, Kilgore ML, Lewis JD, Yun H, Zhang J, Wright NC, Delzell E.

Pharmacoepidemiol Drug Saf. 2013 Nov;22(11):1214-21. doi: 10.1002/pds.3475. Epub 2013 Sep 9.

15.

Identification of heart failure events in CMS-Medicare claims. The Atherosclerosis Risk in communities (ARIC) Study.

Kucharska-Newton AM, Heiss G, Ni H, Stearns SC, Puccinelli-Ortega N, Wruck LM, Chambless L.

J Card Fail. 2015 Jul 23. pii: S1071-9164(15)00624-7. doi: 10.1016/j.cardfail.2015.07.013. [Epub ahead of print]

PMID:
26211720
16.

An algorithm for the use of Medicare claims data to identify women with incident breast cancer.

Nattinger AB, Laud PW, Bajorunaite R, Sparapani RA, Freeman JL.

Health Serv Res. 2004 Dec;39(6 Pt 1):1733-49.

17.
18.

Validation of a Medicare Claims-based Algorithm for Identifying Breast Cancers Detected at Screening Mammography.

Fenton JJ, Onega T, Zhu W, Balch S, Smith-Bindman R, Henderson L, Sprague BL, Kerlikowske K, Hubbard RA.

Med Care. 2013 Aug 6. [Epub ahead of print]

19.

Identification of hospital-acquired catheter-associated urinary tract infections from Medicare claims: sensitivity and positive predictive value.

Zhan C, Elixhauser A, Richards CL Jr, Wang Y, Baine WB, Pineau M, Verzier N, Kliman R, Hunt D.

Med Care. 2009 Mar;47(3):364-9. doi: 10.1097/MLR.0b013e31818af83d.

PMID:
19194330
20.

Validation of the atherosclerotic cardiovascular disease Pooled Cohort risk equations.

Muntner P, Colantonio LD, Cushman M, Goff DC Jr, Howard G, Howard VJ, Kissela B, Levitan EB, Lloyd-Jones DM, Safford MM.

JAMA. 2014 Apr 9;311(14):1406-15. doi: 10.1001/jama.2014.2630.

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