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1 0.4; 95% CI, 0.3 to 0.6 for </= 10-year life expectancy).
2 line modified Rankin Scale [mRS] score, life expectancy).
3 plicated these animal findings in humans (US-expectancy).
4 ere length at birth has been related to life expectancy.
5  illness, lives saved, and increases in life expectancy.
6 of healthy life expectancy, and overall life expectancy.
7  have significant dyspnea and shortened life expectancy.
8 ed to depend on broader factors shaping life expectancy.
9 atrophy, paralysis, and have diminished life expectancy.
10 opy), reach age 75 or have <10 years of life expectancy.
11 a(-/-) offspring, but at less than Mendelian expectancy.
12 because of organ shortage and increased life expectancy.
13 scribed only to those with a reasonable life expectancy.
14 gate bilirubin and may present a normal life expectancy.
15 depends on external factors influencing life expectancy.
16 eater morbidity than men despite higher life expectancy.
17 heta phase precession was affected by reward expectancy.
18 tween waitlist and post-transplantation life expectancy.
19 at compromise quality of life and limit life expectancy.
20 y over the past century have focused on life expectancy.
21 ness-to-pay or as income from increased life expectancy.
22  factors associated with differences in life expectancy.
23 e significant comorbidities and limited life expectancy.
24 ury have seen a sharp increase in human life expectancy.
25 ation of SCRs and explicit measures of shock expectancy.
26 erceived limited control and to a short life expectancy.
27 nce, mean age at diagnosis, and average life expectancy.
28 kin of mammalian species with different life expectancies.
29 terventions should target subjective alcohol expectancies.
30      The outcomes of the model included life expectancy, 1-year and 5-year patient survival, and mort
31        Individualized control decreased life expectancy (20.63 vs. 20.73 years) due to an increase in
32 he birth and 6 weeks strategy maximized life expectancy (26.5 years in the HIV-infected group and 61.
33  factors associated with differences in life expectancy across areas.
34 nt difference in unadjusted or adjusted life expectancy across hospital risk-standardized mortality r
35 h greater longevity, and differences in life expectancy across income groups increased over time.
36                              The female life expectancy advantage over men is likely to shrink by 203
37 en longer D2B and D2N times and shorter life expectancy after AMI.
38     Identifying patients with a limited life expectancy after TEVAR is possible using a preoperative
39 and have more comorbidities and shorter life expectancy, all of which may limit the benefit of ICD th
40 parameters for a prototypical patient's life expectancy also were modeled and calculated.
41 sease progression, quality of life, and life expectancy among individuals with HCV infection and for
42 thin each case-mix stratum, we compared life expectancy among patients admitted to high-performing ho
43 itted to high-performing hospitals with life expectancy among patients admitted to low-performing hos
44 eart disease (CHD), allowing for longer life expectancies and an increasing number who will require n
45  the amygdala central nucleus updates reward expectancies and behaviour in both types of extinction,
46 prefectures with the lowest and highest life expectancies and HALE have widened, from 2.5 to 3.1 year
47 pendent on the interaction between high drug expectancies and low model-based decision making.
48 s have seen substantial improvements in life expectancy and access to antimicrobials, especially in l
49 nt today because of recent increases in life expectancy and body mass index (BMI), but this assumptio
50          In this analysis, we estimated life expectancy and cause-specific mortality within King Coun
51 ON: This census tract-level analysis of life expectancy and cause-specific YLL rates highlights impor
52    It also highlights how mechanisms such as expectancy and empathy, which are seen as inducing music
53 es with controllable function, specific life expectancy and greater consistency.
54  adolescence is associated with reduced life expectancy and impaired quality of life.
55        However, the association between life expectancy and income varied substantially across areas;
56 its, and results in meaningful gains in life expectancy and large numbers of years of life saved in e
57 ommon functional network underlying temporal expectancy and learning of a CS-US interval.
58 raight lines describe the joint rise of life expectancy and lifespan equality: one for primates and t
59                                     The life expectancy and loss in expectation of life were predicte
60      However, little is known about how life expectancy and mortality from different causes of death
61  0.4; 95% CI, 0.3 to 0.8 for </= 5-year life expectancy and OR, 0.4; 95% CI, 0.3 to 0.6 for </= 10-ye
62 n has historically seen improvements in life expectancy and other health indicators, even under stres
63                                         Life expectancy and quality of life for those born with conge
64 ty, and mortality to forecast trends in life expectancy and the burden of disability in England and W
65 Reliable estimation of future trends in life expectancy and the burden of disability is crucial for a
66  true effect of Barrett's oesophagus on life expectancy and the efficacy of long-term surveillance re
67 istory parameters like generation time, life expectancy and the variance in lifetime reproductive suc
68 minating in a significantly compromised life expectancy and transformation to aggressive disease.
69 be population-level trends in the adult life expectancy and trends in the residual burden of HIV mort
70 cause mortality varied and gaps between life expectancy and years lived in full health, as measured b
71                                         Life expectancy and years of life saved after AMI were calcul
72 nd time to fibrinolysis </=30 min) with life expectancy and years of life saved after AMI.
73 ng PLHIV are crucial to address shorter life expectancies, and improve their healthy states.
74 tantial morbidity, costs, and decreased life expectancy, and continues to rise worldwide.
75 disability-adjusted life-years (DALYs), life expectancy, and healthy life expectancy (HALE) in Japan
76 is predicted to increase more than male life expectancy, and in Chile, France, and Greece where the t
77 differences in life expectancy, healthy life expectancy, and life expectancy with disability accordin
78 oject life expectancy, quality-adjusted life expectancy, and lifetime medical costs in order to estim
79 ith disability, an extension of healthy life expectancy, and overall life expectancy.
80 , medications used to reach the target, life expectancy, and patient preferences about treatment.
81                        Whether rises in life expectancy are increases in good-quality years is of pro
82     Projections of future mortality and life expectancy are needed to plan for health and social serv
83 er breast cancer survivors with limited life expectancy are not known, and there are important risks;
84       Interventions that aim to improve life expectancy are often prioritised without rigorous assess
85             Aging population and longer life expectancy are the main reasons for an increasing number
86 in the dystrophin gene, with an average life expectancy around 25 years of age.
87 o estimate race- and ethnicity-adjusted life expectancy at 40 years of age by household income percen
88 o estimate gains in the population-wide life expectancy at age 15 years since the introduction of ART
89         Between 1991 and 2011, gains in life expectancy at age 65 years (4.5 years for men and 3.6 ye
90                         Disability-free life expectancy at age 65 years will increase by 1.0 years (9
91 er in the next decade, but a quarter of life expectancy at age 65 years will involve disability.
92 hat sacubitril/valsartan would increase life expectancy at an ICER consistent with other high-value a
93  is a greater than 95% probability that life expectancy at birth among men in South Korea, Australia,
94         There is a 90% probability that life expectancy at birth among South Korean women in 2030 wil
95 d age-specific death rates to calculate life expectancy at birth and at age 65 years, and probability
96 ficant heterogeneity among provinces in life expectancy at birth and probability of death at ages 0-1
97 ave made substantial strides to improve life expectancy at birth between 1990 and 2013.
98 utcomes for Indigenous populations for: life expectancy at birth for 16 of 18 populations with a diff
99                                         Life expectancy at birth in Japan increased by 4.2 years from
100 ore than half of the projected gains in life expectancy at birth in women will be due to enhanced lon
101 ge 5 years and from age 15 to 60 years, life expectancy at birth, and cause-specific and age-specific
102 rience an approximately 1-y increase in life expectancy at birth, and that there would be a cumulativ
103 numbers of deaths and in life years and life expectancy at birth, attributable to changes in PM2.5.
104 ortality in adults (age >/=30y), and on life expectancy at birth, in the contiguous United States dur
105      Data were obtained for population, life expectancy at birth, infant mortality, low and high birt
106 onic status gradients for mortality and life expectancy at birth, with outcomes improving with increa
107 cy if MELD was </=27 but could decrease life expectancy at higher MELD scores.
108  in hippocampal glucocorticoid action beyond expectancies based on ligand-receptor interactions.
109  particular, some advocate forecasts of life expectancy based on period trends; others favor forecast
110                              Changes in life expectancy between 2001 and 2014 ranged from gains of mo
111 nd is a primary cause of disparities in life expectancy between African Americans and whites.
112 associated with a 2.1-year reduction in life expectancy between ages 40 and 85 years, the correspondi
113  there was no significant difference in life expectancy between the groups (both 4.2 yrs; P = 0.97).
114                              The gap in life expectancy between the richest 1% and poorest 1% of indi
115                     Here we examine the life expectancy, breakdown, and device failure of engineered
116 n found to be associated with decreased life expectancy, but little is known about whether this is al
117 -related chronic conditions and reduced life-expectancy, but the underlying biomolecular mechanisms r
118 illion lives and significantly increase life expectancy by 3.1-8.4 years, depending on the country pr
119 matic brain injury (TBI) shortened mean life expectancy by 8.7 years and by as much as 13 years if on
120  2011, the Syrian civil war has lowered life expectancy by as much as 20 years.
121 n income and life expectancy; trends in life expectancy by income group; geographic variation in life
122 alence and disabled and disability-free life expectancy by year.
123 ration data for King County to estimate life expectancy, cause-specific mortality rates, and years of
124  state was defined as the proportion of life expectancy comorbid-free, and was adjusted on the probab
125  shortfall of the population-wide adult life expectancy compared with that of the HIV-negative popula
126                      Men have a shorter life expectancy compared with women but the underlying factor
127 g Mexico back on a track of substantial life expectancy convergence with better performing countries.
128                               Estimated life expectancy declined as hospital risk-standardized mortal
129 life-years lived as well as the present life expectancy deficit are almost exclusively due to differe
130                            By 2014, the life expectancy deficit had decreased to 1.2 years for men (-
131 d HIV were responsible for 84.9% of the life expectancy deficit in men and 80.8% in women.
132 of the HIV-negative population (ie, the life expectancy deficit).
133 t samples t tests determined whether patient expectancy differed between the open and placebo-control
134          In the bottom income quartile, life expectancy differed by approximately 4.5 years between a
135 argues that the self-fulfilling prophecy and expectancy effects of descriptive stereotypes are not po
136 ntly demonstrating small or at best moderate expectancy effects, and high accuracy in social percepti
137 ly overstated the power and pervasiveness of expectancy effects, and ignored evidence of accuracy.
138 t with truncated development, shortened life expectancies, elevated mortality rates and higher extinc
139 that temporally discrete cues raising reward expectancy enhance both theta and beta band activity in
140                     Progress in women's life expectancy exceeded that of men, in whom negligible impr
141                  Improvements in female life expectancy exceeded those in male life expectancy in all
142 ios (ICERs), using discounted costs and life expectancies for all HIV-exposed (infected and uninfecte
143                                       Health expectancies for the three regions combined were calcula
144                                         Life expectancies for US patients were estimated according to
145 ssumption of limited but precious functional expectancy for an old kidney and substantial reduction o
146       Fourth, geographic differences in life expectancy for individuals in the lowest income quartile
147 ed a multistate life table to calculate life expectancy for individuals who were normal weight, overw
148                                  Third, life expectancy for low-income individuals varied substantial
149                                         Life expectancy for low-income individuals was positively cor
150 ll MDR patients resulted in the highest life expectancy for our initial cohort averaged across all pa
151 ptors PD-1 and CTLA-4 and have improved life expectancy for patients across a range of tumor types.
152  survive to older ages than males, with life expectancy for the least frail adult females reaching up
153 sing loss of motor function and reduced life expectancy, for which limited treatment is available.
154                      From 1990 to 2013, life expectancy from birth in Mexico increased by 3.4 years (
155  smokers aged 40 years lose >6 years of life expectancy from smoking, possibly outweighing the loss f
156 rt, the mean (2.5th, 97.5th percentile) life expectancy from time of initiation of MDR TB treatment a
157                                         Life expectancy gains and deficits were further disaggregated
158 ing aspirin at ages 40 to 69 years, and life expectancy gains are expected for most men and women ini
159 erbia have some of the lowest projected life expectancy gains for both men and women.
160 ortality account for 79.7% of the total life expectancy gains in men (8.4 adult life-years), and 90.7
161 RT based on age alone, although a short life expectancy generally might preclude RT.
162                        Residents with a life expectancy greater than 4 weeks who consented to treatme
163         Conversely, 14.1% of those with life expectancy &gt; 10 years did not report mammography.
164 wn benefits, whereas 14% with estimated life expectancy &gt; 10 years did not report mammography.
165    We aimed to estimate health-adjusted life expectancy (HALE) among adults living with and without H
166 s (DALYs), life expectancy, and healthy life expectancy (HALE) in Japan and its 47 prefectures.
167 Driven by technological progress, human life expectancy has increased greatly since the nineteenth ce
168                                         Life expectancy has risen among middle-income and high-income
169            We investigate how various health expectancies have changed in England between 1991 and 20
170 shaped by reward learning, even after reward expectancies have changed, is less well understood.
171 an imaging studies manipulating attention or expectancy have identified the periaqueductal gray (PAG)
172                 Absolute differences in life expectancy, healthy life expectancy, and life expectancy
173 level, treating HCV before LT increased life expectancy if MELD was </=27 but could decrease life exp
174 s revealed that increased generalization (US-expectancy), if not prevented, could be reduced by a rem
175 luation of age-specific factors such as life expectancy, impaired functional status, and cognitive de
176 and its neural correlates as well as alcohol expectancies in alcohol-dependent patients and healthy c
177 n consistent with circadian-modulated reward expectancies in neural pathways (i.e., greater activatio
178 ears, the same as the highest worldwide life expectancy in 2012, and a 57% probability that it will b
179  life expectancy exceeded those in male life expectancy in all provinces except Shanghai, Macao, and
180 ostasis is a biomarker and predictor of life expectancy in Caenorhabditis elegans.
181 the remarkable recent history of female life expectancy in Denmark, a saga of rising, stagnating, and
182 T) has improved the immune function and life expectancy in HIV-infected patients whose respiratory al
183                                         Life expectancy in King County, WA, USA, is in the 95th perce
184          EVAR does not increase overall life expectancy in patients ineligible for open repair, but c
185                              We studied life expectancy in patients who had received curative treatme
186 d other factors have contributed to the life expectancy in patients with CML approaching that of the
187 to reflect increased CRC risk and lower life expectancy in patients with cystic fibrosis.
188 to reflect increased CRC risk and lower life expectancy in patients with cystic fibrosis.
189 ssive cardiovascular deaths and reduced life expectancy in schizophrenia.
190                        Projected female life expectancy in South Korea is followed by those in France
191 lted in a reduction in life expectancy; life expectancy in Syria would have been 5 years higher than
192 se that contributed most to increase in life expectancy; in particular, they affect mortality at youn
193 ince the roll-out of ART in 2004, adult life expectancy increased by 15.2 years for men (95% CI 12.4-
194                  Between 2001 and 2014, life expectancy increased by 2.34 years for men and 2.91 year
195                   Second, inequality in life expectancy increased over time.
196 ntia is expected to soar as the average life expectancy increases, but recent estimates suggest that
197                The effects of vasopressin on expectancy-induced analgesia were significantly larger t
198 se results suggest that cue-triggered reward expectancy intensifies hippocampal output to target stru
199                                      Patient expectancy is a significant mediator of placebo effects
200 lth care is of increasing importance as life expectancy is being prolonged extensively among PLWH.
201                 Hence, the lower Danish life expectancy is caused by these cohorts and is not attribu
202                  The global increase in life expectancy is creating significant medical, social and e
203 stered, whether a patient's anticipated life expectancy is extraordinary, and whether a patient's ind
204   In particular, the black-white gap in life expectancy is greater at higher levels of educational at
205 sation of mammography in patients whose life expectancy is less than 5 years to 10 years, regardless
206 ery country except Mexico, where female life expectancy is predicted to increase more than male life
207                                         Life expectancy is projected to increase in all 35 countries
208 es that signal subsequent reward, its reward expectancy is raised.
209 inked to ART per 1,000 ART initiations, life expectancy (LE, in years) and per-person lifetime HIV-re
210 y income group; geographic variation in life expectancy levels and trends by income group; and factor
211 d Syria have resulted in a reduction in life expectancy; life expectancy in Syria would have been 5 y
212 e now out of date because of changes in life expectancy, living conditions, and health profiles.
213 ancer survivors with an estimated short life expectancy (&lt; 5 years) receive annual surveillance mammo
214 whether between-group differences in patient expectancy mediated the group effect on HAM-D scores.
215  randomized controlled trial whether patient expectancy mediates placebo effects in antidepressant st
216  y, those with >/=20 teeth had a longer life expectancy (men: +57 d; women: +15 d) and healthy life e
217  (men: +57 d; women: +15 d) and healthy life expectancy (men: +92 d; women: +70 d) and a shorter life
218                                         Life expectancy, modeled from ARISTOTLE outcomes, was signifi
219 imately 8.6% and 35.1% had an estimated life expectancy of </= 5 and </= 10 years, respectively.
220 on admission was associated with longer life expectancy of 0.78 (standard error [SE]: 0.05), 0.55 (SE
221 x 10(-7)) translating to a reduction in life expectancy of 2.9 years for males and 2.6 years for fema
222 t care), the no EID strategy produced a life expectancy of 21.1 years (in the HIV-infected group) and
223 up performance status of 2 or less, and life expectancy of 6 months or less.
224 ally measurable disease (by CT or MRI); life expectancy of 6 months or more; adequate haematological
225                                     The life expectancy of adult O. volvulus is reduced by approximat
226 ith Stage D heart failure with a median life expectancy of approximately 10 to 15 years.
227  at increased risk for bleeding, have a life expectancy of at least 10 years, and are willing to take
228  at increased risk for bleeding, have a life expectancy of at least 10 years, and are willing to take
229 function and laboratory test results, a life expectancy of at least 12 weeks, and having recovered fr
230 ogy Group performance status of 0 or 1, life expectancy of at least 3 months, and at least one measur
231 up (ECOG) score of 0-2 and a documented life expectancy of at least 3 months.
232 lity of life, and quality-adjusted life year expectancy of cancer patients admitted to the ICU are li
233        First, we report that cocaine and the expectancy of cocaine each depresses plasma leptin level
234 by cocaine and comes to be attenuated by the expectancy of cocaine.
235 IV disease and treatment to project the life expectancy of HIV-infected persons, based on smoking sta
236                                     The life expectancy of HIV-positive individuals receiving antiret
237 ly, and hepatic failure, and an average life expectancy of less than 4 months.
238 assessed how these changes affected the life expectancy of patients with CML and life-years lost as a
239 kemia (CML) treatment, transforming the life expectancy of patients; however the risk for relapse rem
240                           The increased life expectancy of persons infected with human immunodeficien
241                                     The life expectancy of the average American with diabetes has inc
242                                     The life expectancy of the wealthiest Americans now exceeds that
243                Vast improvements in the life expectancy of these patients were seen over the study pe
244 f mammography decreased with decreasing life expectancy ( P < .001), although 56.7% and 65.9% of thos
245 ng measurement of pre- and postrandomization expectancy, participants were treated with citalopram or
246  by age group and cause, and forecasted life expectancy pathways for Mexico to converge to better per
247  through 12 months were used to project life expectancy, quality-adjusted life expectancy, and lifeti
248                Endpoints were survival, life expectancy, quality-adjusted life-years (QALYs), number
249  expectancies were measured with the Alcohol Expectancy Questionnaire.
250                                In 2014, life expectancy ranged from 68.4 years (95% UI 66.9-70.1) to
251                                For men, life expectancy ranged from 70.2 to 77.5 years and for women
252                                              Expectancy-related interventions should be investigated
253                                   Total life expectancy remained unaffected by overweight and obesity
254 o smoke lost 6.7 years and 6.3 years of life expectancy, respectively, compared with never smokers; t
255 th estimated </= 5-year and </= 10-year life expectancy, respectively, reported mammography in the la
256 VS and lead to reduced updating of treatment expectancies, resulting in less extinction of placebo hy
257  compared these strategies according to life expectancy, risks of acquired resistance, and the expect
258                            Postrandomization expectancy scores were significantly higher in the open
259 cts of between-group differences in baseline expectancy scores.
260 onses (SCRs)] and explicit measures of shock expectancy served as dependent measures.
261 that PFC neurons are not merely providing an expectancy signal.
262 udes multiple failed replications of classic expectancy studies, meta-analyses consistently demonstra
263  Long-standing racial differences in US life expectancy suggest that black Americans would be exposed
264 sm and the likely role of inaccurate outcome expectancies support the importance of smoking cessation
265 ving with HIV, had much shorter overall life expectancies than did their HIV-negative counterparts in
266  acute myocardial infarction had longer life expectancies than patients treated in low-performing hos
267 tricular ejection fraction, and shorter life expectancy than isolated postcapillary PH.
268 der cessation while taking into account life expectancy, the estimated risk for subsequent in-breast
269 S to increased disease risk and reduced life expectancy, the underlying biology remains poorly unders
270         Relationship between income and life expectancy; trends in life expectancy by income group; g
271 to limited motor neuron loss and normal life expectancy (type IV).
272 ast national age-specific mortality and life expectancy using an approach that takes into account the
273 in the last 12 months by 5- and 10-year life expectancy (using the validated Schonberg index), adjust
274                                     Using an expectancy violation paradigm, we measured looking time
275 ue updating were separable from responses to expectancy violation, and that reducibility of uncertain
276 to make better decisions while ignoring mere expectancy violation.SIGNIFICANCE STATEMENT To make good
277 ized by a Bayesian model where agents ignore expectancy violations that do not update beliefs or valu
278 atistical structure and responds strongly to expectancy violations.
279 rship on social perception and interpersonal expectancies was characterized by a tripartite pattern:
280                              Discounted life expectancy was 16.69 years for SOC, 16.97 years with VL
281                                         Life expectancy was 9.3 years (5.4-13.1) shorter in participa
282 c.1903C>T lived longer than the others, life expectancy was greatly diminished (10.8 vs. 4.6 months).
283 In adjusted analyses, lower ( v higher) life expectancy was significantly associated with lower odds
284               The OS curves crossed, so life expectancy was used: 15.7 months in the ADI-PEG20 group
285 We then observed that overgeneralization (US-expectancy) was prevented.
286                    Furthermore, high alcohol expectancies were associated with low model-based contro
287                                      Alcohol expectancies were measured with the Alcohol Expectancy Q
288                      The differences in life expectancy were correlated with health behaviors and loc
289 der-patient discussions about prognosis/life expectancy were examined for their association with chan
290 obability that by 2030, national female life expectancy will break the 90 year barrier, a level that
291 men: +92 d; women: +70 d) and a shorter life expectancy with disability (men: -35 d; women: -55 d) co
292 xpectancy, healthy life expectancy, and life expectancy with disability according to the number of te
293 on of morbidity: older Japanese adults' life expectancy with disability was compressed by 35 to 55 d
294                                However, life expectancy with disability will increase more in relativ
295  morbidity, measured as a shortening of life expectancy with disability, an extension of healthy life
296  report recent discussions of prognosis/life expectancy with their oncologists come to have a better
297 they never had discussions of prognosis/life expectancy with their oncologists.
298 ed only recent discussions of prognosis/life expectancy with their oncologists; 68 (38%) reported onl
299 h HCM can achieve normal or near-normal life expectancy without disability, and usually do not requir
300 re externalizing behaviors, positive alcohol expectancies), worse executive functioning, and thinner

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