Clinical Classification of Physeal Stability in Slipped Capital Femoral Epiphysis May Differ From That Observed During a Modified Dunn Procedure

2012 ◽  
Vol 2 (8) ◽  
pp. e3
Author(s):  
Ernest L. Sink
Keyword(s):  
Slipped Capital Femoral Epiphysis ◽  
Clinical Classification

The acute and long-term prognosis of cerebral infarction on the basis of the clinical classification of the Oxfordshire community stroke project

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S151-S151
Author(s):  
Katsunori Isa ◽  
Takashi Tokashiki ◽  
Koichiro Okumura ◽  
Kunitoshi Iseki ◽  
Shuichi Takishita
Keyword(s):  
Cerebral Infarction ◽  
Clinical Classification ◽  
Oxfordshire Community Stroke Project ◽  
Long Term Prognosis

Clinical Classification of Patellofemoral Pain and Dysfunction

1998 ◽  
Vol 28 (5) ◽  
pp. 299-306 ◽  
Author(s):  
S. Wendell Holmes ◽  
William G. Clancy
Keyword(s):  
Patellofemoral Pain ◽  
Clinical Classification

Clinical classification of hyperuricemia in patients with chronic kidney disease

2021 ◽  
Author(s):  
Fengqin Li ◽  
Hui Guo ◽  
Jianan Zou ◽  
Chensheng Fu ◽  
Song Liu ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Clinical Classification

scholarly journals 310 A new proposal for the clinical classification of vulvar lichen sclerosus: an observational prospective study

2020 ◽  
Author(s):  
Veronica Boero ◽  
Carlo A Liverani ◽  
Massimiliano Brambilla ◽  
Ermelinda Monti ◽  
Filippo Murina ◽  
...  
Keyword(s):  
Prospective Study ◽  
Lichen Sclerosus ◽  
Clinical Classification ◽  
Observational Prospective Study ◽  
Vulvar Lichen Sclerosus

scholarly journals Rationale for a clinical classification of lymphedema

2010 ◽  
Vol 10 (S1) ◽  
Author(s):  
V Gasbarro ◽  
S Michelini ◽  
E Tsolaki ◽  
M Ricci ◽  
C Allegra
Keyword(s):  
Clinical Classification

scholarly journals Population-based evaluation of a suggested anatomic and clinical classification of congenital heart defects based on the International Paediatric and Congenital Cardiac Code

2011 ◽  
Vol 6 (1) ◽  
pp. 64 ◽  
Author(s):  
Lucile Houyel ◽  
Babak Khoshnood ◽  
Robert H Anderson ◽  
Nathalie Lelong ◽  
Anne-Claire Thieulin ◽  
...  
Keyword(s):  
Congenital Heart Defects ◽  
Congenital Heart ◽  
Heart Defects ◽  
Population Based ◽  
Clinical Classification

scholarly journals Clinical classification of cardiac deaths.

Circulation ◽  
1982 ◽  
Vol 65 (3) ◽  
pp. 457-464 ◽  
Author(s):  
L E Hinkle ◽  
H T Thaler
Keyword(s):  
Clinical Classification

scholarly journals The relationship between clinical classification of cataract and lens hardness

Eye ◽  
1993 ◽  
Vol 7 (6) ◽  
pp. 726-730 ◽  
Author(s):  
P Heyworth ◽  
G M Thompson ◽  
H Tabandeh ◽  
S McGuigan
Keyword(s):  
Clinical Classification ◽  
The Relationship

scholarly journals Classification of RA Into Active or Inactive With a Modified DAS, for Future Use as a Treat-to-target Tool, With a HandScan Score Replacing Joint Counts

2021 ◽  
Author(s):  
Maxime Verhoeven ◽  
Anton Westgeest ◽  
Janneke Tekstra ◽  
Jacob van Laar ◽  
Floris Lafeber ◽  
...  
Keyword(s):  
Medical Records ◽  
Roc Curves ◽  
Predictor Variables ◽  
Treat To Target ◽  
Reference Standard ◽  
Clinical Classification ◽  
Operating Characteristics ◽  
Clinical Interpretation ◽  
Activity Measures

Abstract ObjectivesTo establish the value of a modified DAS (DAS-OST) without joint counts but with a HandScan score (OST), versus that of DAS28, to classify RA as active versus inactive, with as reference standard the rheumatologist's clinical classification.MethodsRA patients with at least one HandScan and DAS28 measurement performed at the same visit were included. Data was extracted from medical records, as was the clinical interpretation as active or inactive RA by the rheumatologist. Logistic regression analyses were performed to calculate areas under the receiver operating characteristics (AU-ROC) curves. The clinical interpretation was used as reference standard in all analyses, and disease activity measures were used as predictor variables. The performance of predictor variables (AU-ROCs) was compared.ResultsData of 1505 unique RA patients were used for analyses. The highest AU-ROC of 0.88 (95%CI 0.85 – 0.90) was shown for DAS28; AU-ROC of DAS-OST was 0.78 (95%CI 0.75 – 0.81), difference 0.10, p<0.01.ConclusionsCompared to DAS28, DAS-OST classified RA statistically significantly less well as active versus inactive, when using the clinical classification as reference standard. However, a DAS-modification without joint scores might have a place in strategies limiting routine outpatients’ visits to the rheumatologist.

scholarly journals Toward a stable clinical classification of unstable angina

1995 ◽  
Vol 25 (6) ◽  
pp. 1293-1294 ◽  
Author(s):  
Joann Lindenfeld ◽  
Douglass A. Morrison
Keyword(s):  
Unstable Angina ◽  
Clinical Classification
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