Determining indications for care common to competing guidelines by using classification tree analysis: application to the prevention of venous thromboembolism in medical inpatients.
BACKGROUND
Substantial variations have been reported in the advice given by competing guidelines addressing the same clinical problem.


OBJECTIVE
This study aimed to assess the usefulness of classification tree analysis in comparing competing guidelines.


METHODS
The authors implemented a classification tree-growing algorithm on cross-sectional data from 818 patients to determine indications for prophylactic heparin treatment common to 4 competing guidelines disseminated between 1998 and 2000 and addressing the prophylaxis of venous thromboembolism in medical inpatients.


RESULTS
The resulting classification tree involved 10 terminal nodes. Its mean accuracy estimated by performing 10-fold cross-validation was 82% (s=3). The guidelines consistently supported prophylactic heparin treatment for 5 indications: a previous episode of deep vein thrombosis or pulmonary embolism, recent paralysis of lower limb(s), congestive heart failure with one or more risk factors, recent myocardial infarction, and malignancy with one or more risk factors. These indications involved 257 patients (31.4%) and were supported by robust scientific evidence. Deep vein thrombosis was detected in 27 of these patients (10.5%). Two consistent negative indications involved 347 patients (42.4%). Deep vein thrombosis was detected in 9 of these patients (2.6%). Three indications involving 214 patients (26.2%) were discordant over the 4 guidelines.


CONCLUSIONS
Classification tree analysis of real patient data is a useful strategy to identify indications common to competing guidelines. These indications should be considered for inclusion when updating guidelines. The findings of recently completed randomized trials have partly resolved the disagreement among the 4 guidelines. This approach may be helpful when developing new guidelines or for identifying topics warranting further complementary clinical trials.
Laboratoire TIMC IMAG UMR CNRS 5525, Grenoble, France.
Jean-Luc
JL
Bosson
Jose
J
Labarere
D000465:Algorithms; D003430:Cross-Sectional Studies; D005602:France; D017408:Guidelines as Topic; D006801:Humans; D007297:Inpatients; D017410:Practice Guidelines as Topic; D020246:Venous Thrombosis / Q000188:drug therapy / Q000517:prevention & control*