Tabak Y - Search Results

1

The early prediction of mortality in acute pancreatitis: a large population-based study.

Wu BU, Johannes RS, Sun X, Tabak Y, Conwell DL, Banks PA. Wu BU, et al. Among authors: tabak y. Gut. 2008 Dec;57(12):1698-703. doi: 10.1136/gut.2008.152702. Epub 2008 Jun 2. Gut. 2008. PMID: 18519429

2

A simple risk score accurately predicts in-hospital mortality, length of stay, and cost in acute upper GI bleeding.

Saltzman JR, Tabak YP, Hyett BH, Sun X, Travis AC, Johannes RS. Saltzman JR, et al. Gastrointest Endosc. 2011 Dec;74(6):1215-24. doi: 10.1016/j.gie.2011.06.024. Epub 2011 Sep 10. Gastrointest Endosc. 2011. PMID: 21907980

3

Mortality and need for mechanical ventilation in acute exacerbations of chronic obstructive pulmonary disease: development and validation of a simple risk score.

Tabak YP, Sun X, Johannes RS, Gupta V, Shorr AF. Tabak YP, et al. Arch Intern Med. 2009 Sep 28;169(17):1595-602. doi: 10.1001/archinternmed.2009.270. Arch Intern Med. 2009. PMID: 19786679

4

Validation of a novel risk score for severity of illness in acute exacerbations of COPD.

Shorr AF, Sun X, Johannes RS, Yaitanes A, Tabak YP. Shorr AF, et al. Chest. 2011 Nov;140(5):1177-1183. doi: 10.1378/chest.10-3035. Epub 2011 Apr 28. Chest. 2011. PMID: 21527510

5

Predicting Readmission at Early Hospitalization Using Electronic Clinical Data: An Early Readmission Risk Score.

Tabak YP, Sun X, Nunez CM, Gupta V, Johannes RS. Tabak YP, et al. Med Care. 2017 Mar;55(3):267-275. doi: 10.1097/MLR.0000000000000654. Med Care. 2017. PMID: 27755391 Free PMC article.

6

Diagnosis of Chronic Pancreatitis Incorporating Endosonographic Features, Demographics, and Behavioral Risk.

Lee LS, Tabak YP, Kadiyala V, Sun X, Suleiman S, Johannes RS, Banks PA, Conwell DL. Lee LS, et al. Pancreas. 2017 Mar;46(3):405-409. doi: 10.1097/MPA.0000000000000768. Pancreas. 2017. PMID: 28099256 Free PMC article.

7

Severe acute hypertension among inpatients admitted from the emergency department.

Shorr AF, Zilberberg MD, Sun X, Johannes RS, Gupta V, Tabak YP. Shorr AF, et al. J Hosp Med. 2012 Mar;7(3):203-10. doi: 10.1002/jhm.969. Epub 2011 Oct 28. J Hosp Med. 2012. PMID: 22038891

8

Using electronic health record data to develop inpatient mortality predictive model: Acute Laboratory Risk of Mortality Score (ALaRMS).

Tabak YP, Sun X, Nunez CM, Johannes RS. Tabak YP, et al. J Am Med Inform Assoc. 2014 May-Jun;21(3):455-63. doi: 10.1136/amiajnl-2013-001790. Epub 2013 Oct 4. J Am Med Inform Assoc. 2014. PMID: 24097807 Free PMC article.

9

Using automated clinical data for risk adjustment: development and validation of six disease-specific mortality predictive models for pay-for-performance.

Tabak YP, Johannes RS, Silber JH. Tabak YP, et al. Med Care. 2007 Aug;45(8):789-805. doi: 10.1097/MLR.0b013e31803d3b41. Med Care. 2007. PMID: 17667314

10

Should Do-Not-Resuscitate status be included as a mortality risk adjustor? The impact of DNR variations on performance reporting.

Tabak YP, Johannes RS, Silber JH, Kurtz SG. Tabak YP, et al. Med Care. 2005 Jul;43(7):658-66. doi: 10.1097/01.mlr.0000167106.09265.4e. Med Care. 2005. PMID: 15970780

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