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1 risk), and infectious morbidity (1.0% excess absolute risk).
2 ber needed to treat: 25) due to their higher absolute risk.
3 ry prevention use epidemiologic estimates of absolute risk.
4 ctions for those patients at lower levels of absolute risk.
5 ity impact of such interventions in units of absolute risk.
6 mulative incidence of anal cancer to measure absolute risk.
7 calibration ensuring accurate prediction of absolute risk.
8 with age-specific death rates to get 20-year absolute risks.
11 cantly greater risk of access-site bleeding (absolute risk, 0.4% vs. 0.3%; relative risk, 1.34; 95% C
12 d tricyclic or other cyclic antidepressants (absolute risk, 0.89 per 10000 person-months vs 0.48 per
14 4 y (HR = 1.06, 95% CI 0.83-1.35, p = 0.666, absolute risk = 1.2%), or in those aged 45 y or older (H
15 4 y (HR = 1.20, 95% CI 0.95-1.52, p = 0.125, absolute risk = 1.6%), in those aged 35-44 y (HR = 1.06,
16 .06-4.36), but not of other antidepressants (absolute risk, 1.15 per 10000 person-months vs 1.12 per
17 n were alternative vascular-closure devices (absolute risk, 1.2% vs. 0.8%; relative risk, 1.59; 95% c
18 rrent use than former use of SSRIs or SNRIs (absolute risk, 1.29 per 10000 person-months vs 0.64 per
19 CI, 1.10 to 1.62; P=0.001) and transfusion (absolute risk, 1.8% vs. 1.5%; relative risk, 1.23; 95% C
20 [27.3%] vs. 72 of 615 [11.7%] participants; absolute risk, 15.6% [95% CI, 6.9% to 24.3%]; adjusted r
25 did those in the reference highest quartile (absolute risk, 3.8%; hazard ratio, 1.65; 95% confidence
26 artile had a higher risk of ischemic stroke (absolute risk, 7.3%) than did those in the reference hig
28 onating), risk attributable to donation, and absolute risk (after donating) need to be considered.
29 duals could still be treated on the basis of absolute risk alone, the hybrid approach is evidence-bas
31 Adapting this improved model to estimate absolute risk and evaluating it in prospective data sets
35 r subsequent cancer diagnoses and calculated absolute risks and standardized incidence ratios (SIRs).
36 s absolute risk), any morbidity (4.4% excess absolute risk), and infectious morbidity (1.0% excess ab
38 with increased 30-day mortality (3.6% excess absolute risk), any morbidity (4.4% excess absolute risk
41 We quantified and compared the relative and absolute risk associations of NT-proBNP with incident HF
42 slational goals, it is important to estimate absolute risk at the early stages of etiologic research.
44 the models of variational, maxmin, constant absolute risk aversion, and constant relative risk avers
46 ected diabetes; estimated differences in 5-y absolute risk between daily and non-consumers were 1.9%,
47 tion to relative risk estimates, we examined absolute risks by calculating prevalence and Kaplan-Meie
48 isk of CRC with polyp type and estimated the absolute risks by multiplying the risk in patients with
51 oximately 20 and 10, respectively, of female absolute risk compared with male, both statistically sig
53 cOR at 3 hours, 2.79 (95% CI, 1.96 to 3.98), absolute risk difference (ARD) for lower disability scor
54 elop and validate risk models for predicting absolute risk difference (increased risk or decreased ri
55 ment failure or disease recurrence, or died (absolute risk difference -1.4%, 95% CI -7.0 to 4.3; haza
56 eter groups (two [0.7%] vs one [0.3%] cases; absolute risk difference 0.3%, 95% CI -0.8 to 1.5; p=0.5
57 ter group (172 [57.0%] vs 141 [47.0%] women; absolute risk difference 10.0%, 95% CI 2.0-17.9; p=0.013
58 (5.7%) of 907 patients in the heparin group (absolute risk difference 3.0%; relative risk [RR] 1.52,
59 [RR], 0.86 [95% CI, 0.80 to 0.93]; I2 = 0%; absolute risk difference [ARD], -0.40% [95% CI, -0.64% t
60 dds ratio [OR], 0.51 [95% CI, 0.33 to 0.79]; absolute risk difference [ARD], -0.67 [95% CI, -1.10 to
61 e with no physical activity (24.6% vs 43.5%; Absolute risk difference [ARD], 18.9% [95% CI,14.7%-23.0
62 nitially large benefit of IAT decreases; the absolute risk difference for a good outcome is reduced b
64 ds selection had similar ability to identify absolute risk difference for CVD as the elastic net mode
65 ls, but poorer ability to correctly identify absolute risk difference for serious adverse events.
66 (95% CI, -0.36 to -0.10; P < .001), and the absolute risk difference for the acquisition of cow's mi
69 oniazid preventive therapy (95% CI 3.4-7.8); absolute risk difference of -0.06% (95% CI -3.05 to 2.94
70 up that received no further therapy, with an absolute risk difference of -3.8 percentage points (95%
71 strated for 6- versus 24-month DAPT, with an absolute risk difference of 0.11% (95% confidence interv
72 and 101 patients (61%) in the placebo group (absolute risk difference taking into account center effe
73 origin products within 14 days of birth, the absolute risk difference was -0.65% (-1.01 to -0.29; rel
76 selected for oral anticoagulant therapy, the absolute risk difference was 2.5 events per 1000 patient
78 s of death of 18.6% and 18.8%, respectively (absolute risk difference with EGDT vs. usual care, -0.3
79 , 2.56% to 2.67%) in the no-screening group (absolute risk difference, -0.42% [CI, -0.24% to -0.63%])
80 , 2.56% to 2.67%) in the no-screening group (absolute risk difference, -0.42% [CI, -0.24% to -0.63%])
81 tients (4.6%) in the biolimus-eluting group (absolute risk difference, -0.78% [upper limit of 1-sided
82 sk ratio, 0.92 [95% CI, 0.68-1.25]; adjusted absolute risk difference, -1.0% [95% CI, -10.2% to 8.1%]
83 .5% of those in the liberal-threshold group (absolute risk difference, -1.11 percentage points; 95% c
84 lin group vs 36 in the saline group (14.9%) (absolute risk difference, -1.7 [95% CI, -8.0 to 4.6], P
85 3 patients (35.1%) in the bicarbonate group (absolute risk difference, -1.8%; 95% CI [-12.3% to 8.9%]
86 isk compared with 7.9% in the placebo group (absolute risk difference, -1.9% [95% CI, -4.4% to 0.6%])
87 e risk, 0.73; 95% CI, 0.56 to 0.94; P = .02; absolute risk difference, -14%, 95% CI, -25% to -2%).
88 of 84 patients] vs 39% [28 of 72 patients]); absolute risk difference, -27 (95% CI, -40 to -14), P <
89 sk ratio, 0.92 [95% CI, 0.68-1.26]; adjusted absolute risk difference, -3.1% [95% CI, -12.3% to 6.1%]
90 the pioglitazone group vs 19.6% for placebo (absolute risk difference, -4.9% [95% CI, -8.6% to 1.2%])
91 2; per protocol P=0.09) and superior to BMS (absolute risk difference, -5.16; -8.32 to -2.01; P=0.001
92 2.9%] and 33 patients [12.8%], respectively; absolute risk difference, 0.1 percentage points; 95% con
93 08; 95% confidence interval [CI], 0.64-1.80; absolute risk difference, 0.2%; 95% CI, -1.0 to 1.3; P<0
94 no patients assigned to the commercial mesh (absolute risk difference, 0.7 percentage points; 95% con
95 594 (24.1%) in the long-term storage group (absolute risk difference, 0.7 percentage points; 95% con
96 defined margin, 3.80%) compared with DP-DES (absolute risk difference, 0.78%; -1.93% to 3.50%; P for
97 in group and 7.4% in the itraconazole group (absolute risk difference, 0.9 percentage points; 95% con
98 nts (29.7%) assigned to the commercial mesh (absolute risk difference, 1.0 percentage point; 95% CI,
99 0% given diazepam and 17.6% given lorazepam; absolute risk difference, 1.6%; 95% CI, -9.9% to 6.8%).
100 35.3%) in the standard-blood group had died (absolute risk difference, 1.7 percentage points; 95% con
101 y to be sedated (66.9% vs 50%, respectively; absolute risk difference, 16.9%; 95% CI, 6.1% to 27.7%).
102 34.7% in the simvastatin-monotherapy group (absolute risk difference, 2.0 percentage points; hazard
103 ) than the control group (21 of 63 [33.3%]) (absolute risk difference, 22.1 percentage points [95% CI
104 ials; RR, 1.47; 95% CI, 1.30-1.66; I2 = 42%; absolute risk difference, 24%; 95% CI, 12%-37% after 1 y
105 ,074 hospitalizations) on nonmarathon dates (absolute risk difference, 3.3 percentage points; 95% con
106 P died compared with 9,399 control subjects (absolute risk difference, 30 per 1,000 patient years [py
107 n group and 21.0% in the itraconazole group (absolute risk difference, 9.7 percentage points; 95% CI,
108 the estimation of risk models for predicting absolute risk difference, as compared to a traditional b
110 ) = 0%) and stent thrombosis (2.4% vs. 0.7%; absolute risk difference: +1.7%; risk ratio: 3.15; 95% c
111 isk of target lesion failure (9.6% vs. 7.2%; absolute risk difference: +2.4%; risk ratio: 1.32; 95% c
120 ally important and statistically significant absolute risk differences were identified only for antib
122 le risk score that provides well-calibrated, absolute risk estimates across different risk strata in
123 calculated age- and sex-specific 10-year CRC absolute risk estimates based on the number of risk alle
125 eshold model, and excess relative and excess absolute risk estimates have been derived mainly from at
131 older at increased risk, defined as a 5-year absolute risk for breast cancer of 1.66% or greater, dis
132 rd ratio, 0.64 [95% CI, 0.41-0.98], P = .04; absolute risk for first RTI: 0.05 for azithromycin, 0.08
133 0.35 [95% CI, 0.24-0.52]) and an increase in absolute risk for hepatoxicity from 0.1% to 0.5% (RR, 4.
134 In 6272 patients followed for fracture, the absolute risk for hip fracture at 10 years was 20.4 even
135 acement is associated with an approximate 2% absolute risk for postoperative MI but no difference in
136 stimate the incidence rate ratios (IRRs) and absolute risk for psychiatric disorders in clinically id
137 model is used to project the distribution of absolute risk for the population of white women in the U
139 or all-cause mortality and heart failure and absolute risks for serious adverse events in SPRINT were
140 Use of NSAIDs was associated with increased absolute risks for serious bleeding and thromboembolism
143 all risk factors provided a range of average absolute risk from 4.4% to 23.5% for women in the bottom
146 ations of these factors had estimated 5-year absolute risks greater than 5%, and for some, the risks
147 per standard deviation (SD = 1.6) increase, absolute risk increase 6.1 per 1000 person-years, and fo
149 777 of 1961 patients [39.6%], respectively; absolute risk increase = 3.7% [95% CI, 1.5%-6.0%]; adjus
150 NH) of 27 to induce 1 serious adverse event (absolute risk increase [ARI] = 0.038, 95% CI: 0.014, 0.0
151 9 primary outcome events for control) had an absolute risk increase of the primary outcome of 7.41% (
152 d CHD (odds ratio, 1.46 [95% CI, 1.32-1.62]; absolute risk increase per 1000 participant-years, 1.8 [
153 betes (odds ratio, 1.77 [95% CI, 1.57-2.00]; absolute risk increase per 1000 participant-years, 6.0 [
155 fracture surgery vs 0.31% for elective THR; absolute risk increase, 1.51% [95% CI, 1.46%-1.55%]; rel
156 .46% vs. 3.34%; RR, 1.70 [CI, 1.22 to 2.38]; absolute risk increase, 2.12% [CI, 0.80% to 3.43%]).
157 fracture surgery vs 2.34% for elective THR; absolute risk increase, 3.54% [95% CI, 3.50%-3.59%]; RR,
158 y 41% (RR, 1.41; 95% CI, 0.99-2.00; P = .05; absolute risk increased from 7.7% to 11.1%; P < .001 for
161 Translating relative risk estimates into absolute risks is important in evaluating the potential
165 ed 6.8% upward, with an event rate of 13.3%, absolute risk of 10%, relative risk of 4.0 (95% confiden
166 cerebral haemorrhage (n=45 vs n=18), with an absolute risk of 9.15 (95% CI 6.67-12.24) per 1000 patie
167 ns and LTBI (n = 27830) found a reduction in absolute risk of active TB at 5 years from 1.4% to 0.5%
168 ith patients without insurance, the adjusted absolute risk of admission vs transfer was 14.3% (95% CI
169 We found a significant association between absolute risk of AKI and receipt of combination regimens
172 participants to determine estimated 10-year absolute risk of atherosclerotic cardiovascular disease
174 of biologics and immunomodulators but higher absolute risk of bowel surgery, compared with diagnosis
175 Conclusions and Relevance: This model for absolute risk of breast cancer including SNPs can provid
177 lth Interview Survey, a model for predicting absolute risk of breast cancer was developed combining i
180 of 2-3% points over 3 months there was a 20% absolute risk of developing treatment-induced neuropathy
181 ase in HbA1c of >4% points over 3 months the absolute risk of developing treatment-induced neuropathy
182 ing the study period from 5 to 20 years, the absolute risk of distant recurrence among patients with
185 BACKGROUND & AIMS: Little is known about the absolute risk of hepatocellular carcinoma (HCC) and live
187 herapy (ART) as a prevention strategy is the absolute risk of HIV transmission through condomless sex
188 Data are conflicting with regard to the absolute risk of infection with biologic agents, as a re
190 Previously developed models for predicting absolute risk of invasive epithelial ovarian cancer have
193 s survivors with no psychiatric history, the absolute risk of new psychiatric diagnoses was low but h
194 of statin therapy depend on an individual's absolute risk of occlusive vascular events and the absol
195 the third trimester of pregnancy reduced the absolute risk of persistent wheeze or asthma and infecti
197 standardized incidence ratios (SIRs), excess absolute risk of subsequent malignant neoplasms (SMNs),
204 e risks by the age cohort effects to provide absolute risks of cervical cancer for unscreened women i
208 er intracerebral haemorrhage and examine the absolute risks of intracerebral haemorrhage in the conte
210 history of breast cancer), both relative and absolute risks of MCBC were significantly decreased amon
212 m age 26 y, we found that TBI contributed to absolute risks of over 10% for specialist diagnoses of p
215 andardized incidence ratios (SIR) and excess absolute risks of SPNs on patients with UM compared to a
216 imed to estimate the individual probability (absolute risk) of gestational VTE associated with thromb
217 es and Measures: Degree of stratification of absolute risk owing to nonmodifiable (SNPs, family histo
218 elative risk [RR], 0.87; 95% CI, 0.78-0.96); absolute risk reduction (ARR) in events per 1000 patient
222 tients (1-2 risk indicators; 61%) had a 2.1% absolute risk reduction (P<0.001 each), translating to a
223 reased from 19.9% to 11.5% (P < 0.001), with absolute risk reduction 8.4 (95% confidence interval, 6.
225 ied for repeated self-harm (0.84, 0.77-0.91; absolute risk reduction [ARR] 2.6%, 1.5-3.7; numbers nee
226 4 to prevent 1 CVD event/death over 5 years (absolute risk reduction [ARR] = 0.042, 95% CI: 0.018, 0.
227 dds ratio [OR], 1.62 [95% CI, 1.31 to 2.00]; absolute risk reduction [ARR] in events per 100 infants,
228 t statistically significant (12.9% vs 20.0%; absolute risk reduction [ARR] with infliximab, 7.1%; 95%
229 py group (20.2%) died during their ICU stay (absolute risk reduction [ARR], 0.086 [95% CI, 0.017-0.15
230 reatest comorbidity burden (2 and >/=3), the absolute risk reduction associated with CRT-D over ICD a
235 e groups represented an intervention effect (absolute risk reduction in antibiotic prescribing) of -2
236 sk indicators; 20% of population) had a 3.2% absolute risk reduction in cardiovascular disease/MI/isc
237 6.3% (95% confidence interval: 2.9% to 9.7%) absolute risk reduction in CV death/MI/iCVA at 7 years w
238 ion therapy with defibrillator, with greater absolute risk reduction in death and HF among those with
241 ever, a transfusion was associated with 3.5% absolute risk reduction in postoperative myocardial infa
242 reatment with edoxaban resulted in a greater absolute risk reduction in severe bleeding events and al
243 interval [CI], 0.85 to 1.20; P=0.90), for an absolute risk reduction in the EGDT group of -0.3 percen
245 the use of ACDs was associated with a 0.40% absolute risk reduction in vascular access site complica
247 nce interval, 0.92-0.97; P < 0.001), with an absolute risk reduction of 1.4 per 100 person-years.
248 oup vs 80.4% in the home oxygen alone group, absolute risk reduction of 17.0% (95% CI, 0.1%-34.0%).
249 Meta-analyses on shunt dependency showed an absolute risk reduction of 24% for the intervention (LD,
250 tervention vs 205 [19%] of 1055 for control, absolute risk reduction of 3.46%, 95% CI 0.21-6.73%, p=0
251 compliance, the high compliance group had an absolute risk reduction of 3.6% (P < 0.01), 2.9% (P < 0.
252 less of PAD, patients with PAD had a greater absolute risk reduction of 4.1% (number needed to treat:
253 igher risk of recurrence and demonstrated an absolute risk reduction of 8.6% for stroke of any etiolo
254 randomized trial that demonstrated an 11.7% absolute risk reduction of clinically significant POPF w
257 zed benefit approach (ie, based on predicted absolute risk reduction over 10 years [ARR10] >/=2.3% fr
259 th diabetes were at higher risk of MACE, the absolute risk reduction tended to be greater in patients
260 en receptor-positive first breast cancer, an absolute risk reduction that is consistent with findings
261 ing pharmacological therapy (n = 5,960), the absolute risk reduction was 1.9% with a 3-year number ne
262 9; P = 0.047) compared with placebo, and the absolute risk reduction was 2.1 per 100 person-years.
266 reduction in nonfatal MI benefit persisted (absolute risk reduction, 0.15 to 1.43 events per 1000 pe
268 utcome (hazard ratio [HR], 0.73 [0.65-0.83]; absolute risk reduction, 0.63% [0.36%-0.92%]; P < .01).
270 replacement therapy (7 [5.8%] vs 19 [15.8%]; absolute risk reduction, 10%; 95% CI, 2.25%-17.75%; P =
271 (54 infants [50.5%] vs 37 [35.6%]; P = .02; absolute risk reduction, 14.9; 95% CI, 1.4 to 28.2).
272 ed with control (63 of 120 patients [52.5%]; absolute risk reduction, 15%; 95% CI, 2.56%-27.44%; P =
273 from any cause (RR, 0.91; 95% CI, 0.85-0.97; absolute risk reduction, 2.6%; P=0.003).Cancer incidence
274 g birth hospitalizations was reduced by 59% (absolute risk reduction, 5.5%; 95% CI, 4.7%-6.1%) and re
275 elative risk [RR], 0.84 [95% CI, 0.71-1.01]; absolute risk reduction, 6.8% [95% CI, -0.3% to 13.9%];
278 validating a model to predict individualized absolute risk reductions (ARR) of cardiovascular events.
279 ir higher risk, patients with PAD had larger absolute risk reductions for the primary end point (3.5%
285 alyses indicate similar relative, but larger absolute, risk reductions in men and older patients.
286 e assessed departures from additivity on the absolute risk scale between 9 established breast cancer
288 the present commentary, we address issues of absolute risk stratification (particularly for rare dise
289 isons of joint effects presented in units of absolute risk, such as Rothman's I, can provide more mea
290 ing to alcohol diagnosis in men, the 15-year absolute risk was 2.6% (95% CI, 2.3, 2.9) for intoxicati
299 2013 ACC/AHA guideline recommends assessing absolute risk with the Pooled Cohort equations, which we
300 1, corresponding to a 0.2% difference in 5-y absolute risk), with a clear dose-response relationship.
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