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Items: 1 to 20 of 128

1.
2.

Validity of international classification of disease codes to identify ischemic stroke and intracranial hemorrhage among individuals with associated diagnosis of atrial fibrillation.

Thigpen JL, Dillon C, Forster KB, Henault L, Quinn EK, Tripodis Y, Berger PB, Hylek EM, Limdi NA.

Circ Cardiovasc Qual Outcomes. 2015 Jan;8(1):8-14. doi: 10.1161/CIRCOUTCOMES.113.000371. Epub 2015 Jan 13.

3.

Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors.

Birman-Deych E, Waterman AD, Yan Y, Nilasena DS, Radford MJ, Gage BF.

Med Care. 2005 May;43(5):480-5.

PMID:
15838413
4.

How accurate is ICD coding for epilepsy?

Jetté N, Reid AY, Quan H, Hill MD, Wiebe S.

Epilepsia. 2010 Jan;51(1):62-9. doi: 10.1111/j.1528-1167.2009.02201.x. Epub 2009 Jul 20.

5.

Inaccuracy of the International Classification of Diseases (ICD-9-CM) in identifying the diagnosis of ischemic cerebrovascular disease.

Benesch C, Witter DM Jr, Wilder AL, Duncan PW, Samsa GP, Matchar DB.

Neurology. 1997 Sep;49(3):660-4. Erratum in: Neurology 1998 Jan;50(1):306.

PMID:
9305319
7.
8.

Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database.

Quan H, Li B, Saunders LD, Parsons GA, Nilsson CI, Alibhai A, Ghali WA; IMECCHI Investigators.

Health Serv Res. 2008 Aug;43(4):1424-41.

9.

Validity of Diagnostic Codes for Acute Stroke in Administrative Databases: A Systematic Review.

McCormick N, Bhole V, Lacaille D, Avina-Zubieta JA.

PLoS One. 2015 Aug 20;10(8):e0135834. doi: 10.1371/journal.pone.0135834. eCollection 2015.

10.
11.

Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA.

Med Care. 2005 Nov;43(11):1130-9.

PMID:
16224307
12.

The impact of ICD-9 revascularization procedure codes on estimates of racial disparities in ischemic stroke.

Boan AD, Voeks JH, Feng WW, Bachman DL, Jauch EC, Adams RJ, Ovbiagele B, Lackland DT.

J Stroke Cerebrovasc Dis. 2014 Nov-Dec;23(10):2681-6. doi: 10.1016/j.jstrokecerebrovasdis.2014.06.008. Epub 2014 Sep 26.

PMID:
25263646
13.

Accuracy of ICD-9-CM Codes by Hospital Characteristics and Stroke Severity: Paul Coverdell National Acute Stroke Program.

Chang TE, Lichtman JH, Goldstein LB, George MG.

J Am Heart Assoc. 2016 May 31;5(6). pii: e003056. doi: 10.1161/JAHA.115.003056.

14.

Accuracy of Administrative Data for the Coding of Acute Stroke and TIAs.

Hall R, Mondor L, Porter J, Fang J, Kapral MK.

Can J Neurol Sci. 2016 Nov;43(6):765-773. Epub 2016 Jul 18.

PMID:
27426016
15.

Validating ICD coding algorithms for diabetes mellitus from administrative data.

Chen G, Khan N, Walker R, Quan H.

Diabetes Res Clin Pract. 2010 Aug;89(2):189-95. doi: 10.1016/j.diabres.2010.03.007. Epub 2010 Apr 2.

PMID:
20363043
16.

Stroke: who's counting what?

Reker DM, Hamilton BB, Duncan PW, Yeh SC, Rosen A.

J Rehabil Res Dev. 2001 Mar-Apr;38(2):281-9.

PMID:
11392661
17.

Accuracy of ICD-9 codes in identifying ischemic stroke in the General Hospital of Lugo di Romagna (Italy).

Rinaldi R, Vignatelli L, Galeotti M, Azzimondi G, de Carolis P.

Neurol Sci. 2003 Jun;24(2):65-9.

PMID:
12827541
18.

Do coder characteristics influence validity of ICD-10 hospital discharge data?

Hennessy DA, Quan H, Faris PD, Beck CA.

BMC Health Serv Res. 2010 Apr 21;10:99. doi: 10.1186/1472-6963-10-99.

19.

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
20.

Accuracy and yield of ICD-9 codes for identifying children with ischemic stroke.

Golomb MR, Garg BP, Saha C, Williams LS.

Neurology. 2006 Dec 12;67(11):2053-5.

PMID:
17159120

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