1 Cox proportional hazards models and standard
clinical prediction rules.
2 rate the development, validation, and use of
clinical prediction rules.
3 iew discusses (1) the development and use of
clinical prediction rules, (
2) the European Respiratory
4 nd symptoms of VTE as well as the utility of
clinical prediction rules and D-dimer testing in the dia
5 Clinical prediction rules and models are developed by ap
6 ncrease in the development and validation of
clinical prediction rules and models.
7 In radiology,
clinical prediction rules are an important method for de
8 Three validated
clinical prediction rules are described for adult and pe
9 Clinical prediction rules are multifactorial tools used
10 Clinical prediction rules are used, but accuracy varies
11 We developed and validated a
clinical prediction rule based on a set of electrocardio
12 The spinal manipulation
clinical prediction rule can be used to improve decision
13 e or diagnose strep throat, a well-validated
clinical prediction rule can be useful and can help phys
14 Patients were examined according to the
clinical prediction rule criteria (symptom duration, sym
15 The
clinical prediction rule discriminated between patients
16 Clinical prediction rules do not incorporate real-time i
17 A
clinical prediction rule,
followed by PCR screening, cou
18 sion to construct a parsimonious model and a
clinical prediction rule for 10-year all-cause mortality
19 We describe the development of a simple
clinical prediction rule for estimating the risk of NFI
20 A
clinical prediction rule for patients with a score great
21 We prospectively derived and validated a
clinical prediction rule for recurrent CDI that is simpl
22 To date, no
clinical prediction rule for TB risk exists for use as a
23 al of this study was to develop and validate
clinical prediction rules for bacteremia and subtypes of
24 Most
clinical prediction rules for percutaneous coronary inte
25 Clinical prediction rules for severe CAP do not appear a
26 aluates the most recent literature regarding
clinical prediction rules for the use of cranial compute
27 Low-risk
clinical prediction rules have been developed but need t
28 Several
clinical prediction rules have been developed to aid the
29 Prospective validation of a
clinical prediction rule in this population is warranted
30 A
clinical prediction rule is being developed.
31 Clinical prediction rules,
most notably the PECARN rules
32 We divided
clinical prediction rule scoring into 4 tiers.
33 To insure generalizability,
clinical prediction rules should also be validated in su
34 To be useful,
clinical prediction rules should be clinically important
35 Clinical prediction rules,
sometimes called clinical dec
36 The
clinical prediction rule stratified patients into mortal
37 Treatment decisions may be aided by a
clinical prediction rule that identifies residents at lo
38 ients with cancer-associated VTE to derive a
clinical prediction rule that stratifies VTE recurrence
39 We previously developed a
clinical prediction rule,
the Bacterial Meningitis Score
40 duce this risk, we developed and validated a
clinical prediction rule to determine the risk of violen
41 70 years old, and to develop and validate a
clinical prediction rule to predict the risk of lymph no
42 CE ADVICE 1: Clinicians should use validated
clinical prediction rules to estimate pretest probabilit
43 (2) Create a
clinical prediction rule using geriatric markers from pr
44 The
clinical prediction rule was developed by multivariate l
45 A
clinical prediction rule was developed on the training s
46 A
clinical prediction rule was developed using penalized l
47 A
clinical prediction rule was generated.
48 g the previously derived and validated STONE
clinical prediction rule,
which includes five elements: