04.02.2015 Views

Dictionary of Evidence-based Medicine.pdf

Dictionary of Evidence-based Medicine.pdf

Dictionary of Evidence-based Medicine.pdf

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

<strong>Dictionary</strong> <strong>of</strong> <strong>Evidence</strong>-<strong>based</strong> <strong>Medicine</strong> 139<br />

data set. BMJ. 311: 313 -15. Information Management Group (1993) A national<br />

thesaurus <strong>of</strong> clinical terms in Read codes. HMSO, London. Information Management<br />

Group (1993) What are Read codes HMSO, London. Information<br />

Management Group (1993) Read codes and the terms project: a brief guide.<br />

NHS Management Executive, London). The future <strong>of</strong> the Read codes has<br />

recently been called into question as a result <strong>of</strong> a critical report (February<br />

1998) by the UK National Audit Office. The report has called for an urgent<br />

independent evaluation into whether further investment would be<br />

justified and whether the codes were usable in a clinical environment.<br />

Table 6 Structure <strong>of</strong> the Read codes<br />

Preferred term: diabetes mellitus<br />

Synonym: sugar diabetes<br />

Abbreviation: DM<br />

Cross-referencing<br />

Read Clinical term (30 and 60 character term shown)<br />

B200 Diabetes mellitus<br />

B200I Diabetes mellitus with no complications<br />

B2003 Diabetes mellitus with neuropathy<br />

B2003 Diabetes mellitus with nephropathy<br />

B2004 Insulin-dependent diabetes mellitus<br />

B2005 Non-insulin dependent diabetes<br />

B2006 Malnutrition-related diabetes mellitus<br />

ICD-9<br />

250<br />

250-0<br />

250-3<br />

250-5<br />

250<br />

250<br />

250<br />

ICD-IO<br />

EIO-EI4<br />

EI3<br />

EI3<br />

EI3<br />

EIO<br />

Ell<br />

EI2<br />

Recall bias (see under Bias)<br />

Receiver operating characteristic (ROC) curve<br />

The ROC curve is a plot <strong>of</strong> the values for the sensitivity <strong>of</strong> a diagnostic test<br />

against the corresponding (1-specificity) values. Such curves are useful for<br />

examining the discriminatory ability <strong>of</strong> markers <strong>of</strong> disease or <strong>of</strong> diagnostic<br />

tests. A major problem with ROC curves is that they lead investigators to<br />

choose cut-<strong>of</strong>fs which arbitrarily classify patients as diseased or not and<br />

hence do not allow subsequent workers to choose alternative cut-<strong>of</strong>fs under<br />

different circumstances, such as greater limitation <strong>of</strong> resources (Swets JA,<br />

Pickett RM (1992) Evaluation <strong>of</strong> diagnostic systems: methods from signal<br />

detection theory. Academic Press, New York).

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!