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1 h the risk of suicide, result in a shortened life expectancy.
2 fe loss without treatment from the 11.0-year life expectancy.
3 cular disorders, which contribute to reduced life expectancy.
4 K have been associated with a step-change in life expectancy.
5 rson-years) and a 6-year reduction in median life expectancy.
6 tanding of the income-related differences in life expectancy.
7 r 310 person-years and a 6-year reduction in life expectancy.
8 imate annual public direct medical costs and life expectancy.
9 eople living with HIV now have a much longer life expectancy.
10  often lead to profound differences in adult life expectancy.
11  patients' stroke risk, hemorrhage risk, and life expectancy.
12 who have both high lung cancer risk and long life expectancy.
13 sonalized treatment selection likely extends life expectancy.
14 the central part of the city had the highest life expectancy.
15 relative risks or crude estimates of reduced life expectancy.
16  might be contributing to the disparities in life expectancy.
17 ular disease death, all-cause mortality, and life expectancy.
18 creasing educational differences in US adult life expectancy.
19 e survival were used to estimate the loss in life expectancy.
20 cular and all-cause mortality, and increased life expectancy.
21 ity risk and medical costs and reductions in life expectancy.
22 association between daily PM2.5 exposure and life expectancy.
23  patients with CML to experience near-normal life expectancy.
24 : Smoking results in at least a decade lower life expectancy.
25 ave witnessed an unprecedented rise in human life expectancy.
26 ts, with the aim of enhancing healthspan and life expectancy.
27 , symptoms, and worsening quality of life or life expectancy.
28 eighed against other patient factors such as life expectancy.
29 d dietary habits in relation to disease-free life expectancy.
30 ency, reduced quality of life, and a shorter life expectancy.
31 ated mortality, and to adjust for changes in life-expectancy.
32 luent areas of the United States have longer life expectancies.
33 p (ECOG) performance status score of 0 or 1, life expectancy 3 months or longer, and a PD-L1 TPS of 1
34 aparoscopy experienced longer 3-year average life expectancy (+6.2%, P = 0.018), and those who live p
35 Men with the lowest 1% income had the lowest life expectancy (70.6 years [95% CI, 69.6-71.6]), which
36      Survival models were applied to predict life expectancy, adjusting for ethnicity, working status
37                 Contemporary data on loss in life expectancy after aortic valve replacement (AVR) are
38 term relative survival and estimated loss in life expectancy after AVR.
39                               With increased life expectancy, age-associated cognitive decline become
40 timates of life expectancy at birth, healthy life expectancy, all-cause and cause-specific mortality,
41 ds regression model to compare mortality and life expectancy among patients treated with either baria
42                              Improvements in life expectancy among people living with human immunodef
43 eaths among PLWH could narrow disparities in life expectancy among some key populations, but other ca
44 ducts grew manifold, allowing an increase in life expectancy and a better life quality for humans and
45  tend not to differentiate between extending life expectancy and adding healthy years.
46 alized people with HIV is likely to increase life expectancy and be cost-effective at the currently a
47 ospitalised patients with HIV could increase life expectancy and be cost-effective in resource-limite
48 y improvements and long-run quality-adjusted life expectancy and costs.
49 aminin-111 protein results in an increase in life expectancy and improvements in muscle pathology and
50  the central part of the city had the lowest life expectancy and in Belo Horizonte the central part o
51 Our results demonstrate that both changes in life expectancy and life span equality are weighted tota
52                           In recent decades, life expectancy and life span equality have occasionally
53                             The link between life expectancy and life span equality is especially str
54 re, we develop a unifying framework to study life expectancy and life span equality over time, relyin
55    We study the dynamic relationship between life expectancy and life span equality with reliable dat
56  Some recent exceptions to the joint rise of life expectancy and life span equality, however, make it
57 ife expectancy is the key to increasing both life expectancy and life span equality.
58 es at which reductions in mortality increase life expectancy and life span equality: the more progres
59 ed into a microsimulation model to calculate life expectancy and lifetime event risk for the ages of
60                                              Life expectancy and long-term costs associated with devi
61 pair suggest that younger patients with long life expectancy and low-perioperative risk may benefit m
62 m by providing both greater quality-adjusted life expectancy and lower long-term costs than SAVR.
63  diagnosis that is likely related to limited life expectancy and physical limitations in ALS patients
64 condary mitral regurgitation, TMVr increases life expectancy and quality-adjusted life expectancy com
65 ffective contribution to the prolongation of life expectancy and quality.
66  and Death) clock, which accurately predicts life expectancy and the efficacy of a lifespan-extending
67  especially in light of the increases in the life expectancy and the incidence of comorbidities in th
68 is in Zimbabwe will improve survival, extend life expectancy, and be cost-effective for HIV-exposed i
69 ental health, cognitive performance, overall life expectancy, and increases vulnerability to Alzheime
70 g model inputs: infection-related mortality, life expectancy, and infection cost.
71            Model outcomes included survival, life expectancy, and mean lifetime per-person treatment
72 C tumor burden, degree of liver dysfunction, life expectancy, and patient preferences.
73 risk of mortality, direct medical costs, and life expectancy are unknown.
74                                              Life expectancy at 40 years of age and cause-specific mo
75                                     HIV-free life expectancy at age 15 years improved significantly d
76                        We sought to estimate life expectancy at age 20 years in key populations (and
77                       Between 2010 and 2017, life expectancy at age 25 significantly declined among w
78                                 In contrast, life expectancy at age 25 significantly increased among
79  CVD stagnation held back the increase of US life expectancy at age 25 y by 1.14 y in women and men,
80                                              Life expectancy at age 25 years and years of life lost b
81 this serial cross-sectional study, estimated life expectancy at age 25 years declined overall between
82 about 70%, 160%, and 280%, respectively; and life expectancy at age 60 years decreased by about 5, 10
83                                     Of total life expectancy at age 65, 5.7% (1.0 year (95% CI: 1.0,
84 erence between the ninth and first decile of life expectancy at birth (P90-P10 gap) across subcity un
85 alth have focused on broad measures, such as life expectancy at birth and child and infant mortality,
86  are evident in the effects of low supply on life expectancy at birth and high mortality across ages,
87     We also analysed the association between life expectancy at birth and socioeconomic status at the
88                        We calculated average life expectancy at birth by sex and subcity unit with li
89                        We saw an increase in life expectancy at birth from east to west in Panama Cit
90 e found large spatial differences in average life expectancy at birth in Latin American cities, with
91                                              Life expectancy at birth increased by 5.4 (95% UI 3.7-7.
92  the numbers of deaths and in life years and life expectancy at birth, attributable to changes in PM2
93                We used GBD 2016 estimates of life expectancy at birth, healthy life expectancy, all-c
94 e for 2016, and actuarial data for remaining life expectancy at the age of death.
95 ol-related mortality would have the greatest life-expectancy benefit for black men who have sex with
96 et quality with cardiometabolic disease-free life expectancy between ages 50 and 85 y.
97 associated with cardiometabolic disease-free life expectancy between ages 50 and 85.
98           There was no difference in loss in life expectancy between men and women.
99                   The largest differences in life expectancy between Norway and United States were fo
100                               Differences in life expectancy between the top and bottom 5% of the cPR
101 HA will strive to equitably increase healthy life expectancy beyond current projections, with global
102 tic neuroendocrine carcinoma who has a short life expectancy but feels well and has no symptoms relat
103                  Current treatments increase life expectancy but have limited impact on the progressi
104                  HIV testing alone increased life expectancy by 0.07-0.30 years in MSM; PrEP added ap
105 se with CVD) was projected to increase their life expectancy by 0.19 (0.14-0.23) and 0.90 (0.50-1.21)
106 with Xpert+AlereLAM, Xpert+FujiLAM increased life expectancy by 0.2 years for those tested in South A
107                   The intervention increased life expectancy by 0.5-1.2 years and was cost-effective,
108 time horizon, TMVr was projected to increase life expectancy by 1.13 years and quality-adjusted life-
109 a 35% 5-year PFS, tisagenlecleucel increased life expectancy by 4.6 years at $168,000/QALY gained (95
110 ssion-free survival (PFS), axi-cel increased life expectancy by 8.2 years at $129,000/QALY gained (95
111                             We also examined life expectancy by age at diagnosis.
112            These deaths would lower national life expectancy by an estimated 0.15 years (0.13-0.17) f
113 We aimed to assess the potential benefits in life expectancy by attaining the daily PM2.5 standards i
114        From 2005 to 2015, the differences in life expectancy by income increased, largely attributabl
115 here were substantial and increasing gaps in life expectancy by income level from 2005 to 2015.
116                               Differences in life expectancy by income levels in Norway were similar
117                          Along with extended life expectancy comes a growing population that is exper
118  diabetes had higher risk of death and lower life expectancy compared to the general population.
119 creases life expectancy and quality-adjusted life expectancy compared with GDMT at an incremental cos
120 , elite endurance athletes have an increased life expectancy compared with the general population.
121 nsmissions from ages 15-30, quality-adjusted life expectancy, costs, and incremental cost-effectivene
122 is study indicates that significantly longer life expectancy could be achieved by a reduction in the
123     Given the economic wealth of Russia, its life expectancy could be substantially higher.
124                    The recent decrease in US life expectancy culminated a period of increasing cause-
125                                              Life expectancy data for 1959-2016 and cause-specific mo
126 ing gun violence epidemic and reverse recent life expectancy declines among Americans.
127 ut the rate of increase slowed over time and life expectancy decreased after 2014.
128 lar level of income, the largest part of the life expectancy deficit was produced by working-age mort
129 gton D.C.; second, we decomposed black-white life expectancy differences into 23 causes of death in t
130  cases to live male births by year of birth, life expectancy disadvantage as a 1 - ratio of prevalenc
131                                          The life expectancy disadvantage for high-income countries i
132        Patients with hemophilia still have a life expectancy disadvantage.
133            We calculate the impact on period life expectancy (down 2.94 y) and remaining life years (
134 ally selects older ever-smokers with shorter life expectancies due to comorbidities.
135 nal function, routine PN yielded the longest life expectancy (eg, 0.67 years in 65-year-old men with
136 RI guidance for active surveillance extended life expectancy (eg, 2.60 years for MRI vs PN in CKD 3a,
137 y or active surveillance for growth extended life expectancy (eg, 2.70 years for surveillance for gro
138 ioeconomic status was associated with higher life expectancy, especially in Santiago (change in life
139 sis is debilitating and associated with poor life expectancy, especially in those with cardiac dysfun
140  the economic value of an additional year of life expectancy; estimated total implementation costs; a
141 racted cause-specific mortality and HIV-free life expectancy estimates from the Global Burden of Dise
142 ic mastocytosis (ISM) patients have a normal life expectancy, except in the 5% to 10% of cases that p
143 iet quality and cardiometabolic disease-free life expectancy followed a dose-response pattern and was
144 nd 0.06 (95% CI: 0.04-0.07) years of gain in life expectancy for each death in these cities.
145                       The marked increase in life expectancy for HIV-1 seropositive individuals, foll
146                     Furthermore, the overall life expectancy for participants without these risk fact
147 n is the only intervention shown to increase life expectancy for patients with IPF, but it is associa
148                            However, although life expectancy for people with cystic fibrosis has incr
149 e risk of any NCD, age at onset, and overall life expectancy for strata of 3 shared risk factors at b
150           Critically, weight gain may reduce life expectancy for up to 20-30 years in patients with p
151                        Over the same period, life expectancy for women in the highest income quartile
152 increased 3.2 years (95% CI, 2.7-3.7), while life expectancy for women in the lowest income quartile
153             We used per-capita GDP (PPP) and life expectancy from 61 countries in 2014-15, plus those
154 tios with discounted (3% per year) costs and life expectancy from a health-care system perspective fo
155 96 to 477-515 cells/uL) and quality-adjusted life expectancy from age 15 (44.4 to 48.3-48.7 years) am
156 nd sex-specific cardiometabolic disease-free life expectancy from age 50 to 85 y for each AHEI-2010 q
157 ned-based selection would increase the total life expectancy from CT screening (633 400 vs. 607 800 y
158                          The net increase in life expectancy from offering early transplantation was
159 the aid of CVD mortality declines, future US life expectancy gains must come from other causes-a monu
160 diminished by about 25% since 2005, when the life expectancy gap was 8.9 years for Russia and 6.6 yea
161 ith spinal cord or cauda equina compression, life expectancy greater than 8 weeks, and no previous ra
162  insufficient for achieving pre-2010 pace of life expectancy growth.
163              Although the black-white gap in life expectancy has been shrinking in the U.S., national
164 ctancy in 2020 will remain higher than Black life expectancy has ever been unless nearly 700,000 exce
165 st common chromosomal condition, and average life expectancy has increased substantially, from 25 yea
166                            However, as human life expectancy has increased, so has the number of immu
167                                           US life expectancy has not kept pace with that of other wea
168                                      Patient life expectancy has recently increased, but the need for
169 n is a major public health threat to healthy life expectancy; however, little is known of long-term m
170                                              Life expectancy improved from 48 to 69 years, infant mor
171                                              Life expectancy in 2015 for both Russia and Moscow lay b
172                              Moreover, White life expectancy in 2020 will remain higher than Black li
173 rmine the impact of TAVR valve durability on life expectancy in a cohort of low-risk patients similar
174 ere strongly associated with shorter healthy life expectancy in both countries, attesting to the robu
175                          Until 2011-16, male life expectancy in England and Wales followed the median
176                 Large spatial differences in life expectancy in Latin American cities and their assoc
177 ts might significantly contribute to reduced life expectancy in low-income and middle-income countrie
178                   This study found a shorter life expectancy in patients after AVR compared with the
179 that of surgical valves to result in reduced life expectancy in patients with demographics similar to
180  is the leading contributor to the shortened life expectancy in patients with severe mental illness (
181 e associations between healthy lifestyle and life expectancy in people with and without multimorbidit
182  increasing educational differences in adult life expectancy in recent years.
183 Our objective was to examine inequalities in life expectancy in six large Latin American cities and i
184                          The adjusted median life expectancy in the surgery group was 3.0 years (95%
185       Since 2010, the rate of improvement in life expectancy in the UK has slowed.
186  living with HIV/AIDS (PLWHA) have a growing life expectancy in the US due to early provision of effe
187 ignificant factors underlying the decline in life expectancy in the US.
188  applicability of TAVR in patients with long life expectancy in whom THV durability may be a concern.
189 rmine the impact of TAVR valve durability on life expectancy in younger age groups (40, 50, and 60 ye
190                                     For men, life expectancy increased 3.1 years (95% CI, 2.5-3.7) in
191                                           US life expectancy increased for most of the past 60 years,
192                    Between 1959 and 2016, US life expectancy increased from 69.9 years to 78.9 years
193                           Among 92,289 PLWH, life expectancy increased in all key populations and com
194                        The estimated loss in life expectancy increased with younger age: 0.4 years (9
195  years), which becomes more favorable as the life expectancy increases beyond 6 years.
196                                   Increasing life expectancy is causing the prevalence of age-related
197                    In Indonesia, the average life expectancy is less than 5 months, with most patient
198 life span equality is especially strong when life expectancy is less than 70 y.
199                                       Longer life expectancy is one factor thought to contribute to t
200  sustaining a major burn injury on long-term life expectancy is poorly understood.
201 to align medications with goals of care when life expectancy is reduced.
202                   Saving lives at ages below life expectancy is the key to increasing both life expec
203 rm relative risk of death, but its effect on life expectancy is unclear.
204 rgan transplant recipients (SOTR), and their life expectancy, is increasing, with higher risk for lon
205  awareness (PA)-the understanding of limited life expectancy-is critical for effective goals of care
206  and comorbidities may aim for a near-normal life expectancy, just as the more select patients enroll
207 ortality, to directly estimate mortality and life expectancy loss due to current PM2.5 pollution and
208                                          The life expectancy loss due to PM2.5 was largest around Los
209                  At any PM2.5 concentration, life expectancy loss was, on average, larger in counties
210 llege degree experienced similar declines in life expectancy (men: -0.89 years [95% CI, -1.07 to -0.7
211                                 We estimated life expectancies of patients receiving early vs delayed
212 erine, and intestinal rupture and an average life expectancy of <50 years.
213 -0.89; p=0.0015), and an average increase in life expectancy of 1.44 years (95% CI 0.20-2.68; p=0.023
214 of 6.55 life years, compared with an average life expectancy of 1.46 life years for patients offered
215 en aged 75 years or older or in women with a life expectancy of 10 years or less, clinicians should d
216 ults older than 75 years or in adults with a life expectancy of 10 years or less.
217 iteria In Solid Tumors (irRECIST), and had a life expectancy of 12 weeks or longer.
218  Group performance score of 1 or less, and a life expectancy of 12 weeks or more.
219 nslated to a microsimulation-based estimated life expectancy of 21 years (general population: 32 year
220 plantation were estimated to have an average life expectancy of 6.55 life years, compared with an ave
221 capital, reaching $43 000 in 2015 and with a life expectancy of 75.5 years.
222       Gun violence has shortened the average life expectancy of Americans, and better knowledge about
223 o lifespan (lifespan setpoint) determine the life expectancy of any given organism.
224 Oncology Group performance status of 0 or 1, life expectancy of at least 3 months, adequate organ fun
225  Oncology Group performance status of 0-2, a life expectancy of at least 3 months, and at least one m
226 ed and platinum-based chemotherapy and had a life expectancy of at least 3 months.
227 operative Oncology Group score of 0-1, and a life expectancy of at least 6 months were eligible.
228 Oncology Group performance status of 0 or 1, life expectancy of at least 6 months, and adequate haema
229 o have a WHO performance status of 0-2 and a life expectancy of at least 6 months.
230 umor insensitivity to chemotherapy, shortens life expectancy of cancer patients.
231 iretroviral therapy (cART) has increased the life expectancy of HIV patients.
232                               The increasing life expectancy of individuals with Cystic Fibrosis (CF)
233 tudy compared mortality rates and decline in life expectancy of Iranian patients with type 2 diabetes
234 HbA1c-targeted treatment for patients with a life expectancy of less than 10 years.
235 osimulation model was constructed to compare life expectancy of management strategies for small renal
236 ve Oncology Group performance status of 0-2, life expectancy of more than 12 weeks, and newly diagnos
237 nths; had an ECOG performance status of 0-1; life expectancy of more than 12 weeks; and adequate bone
238 ence of child loss is accompanied by reduced life expectancy of parents in contemporary affluent popu
239                                    Increased life expectancy of patients diagnosed with HIV in the cu
240                                 Although the life expectancy of patients with follicular lymphoma (FL
241 ances in standards of care have extended the life expectancy of patients with kidney failure.
242 of non-invasive metrics that can predict the life expectancy of pre-clinical models.
243 ncy in England and Wales followed the median life expectancy of the comparator group.
244                                      Overall life expectancy of women ranged from 18.0 years (95% con
245 gressive human malignancies, with an average life expectancy of ~6 months from the time of diagnosis.
246 fe and are associated with an alarmingly low life expectancy (on average only 2 years from the amputa
247 schooling years) on a variety of disease and life-expectancy outcomes.
248               The poor performance of female life expectancy over the long-term is in part driven by
249   Reductions in firearm deaths would improve life expectancy, particularly for black men in the USA,
250 proach, predicted quality of life, predicted life expectancy, patient preferences, and other patient
251  having high comorbidity rates and shortened life expectancy, patients with ESKD may harbor unrealist
252 xpectancy, especially in Santiago (change in life expectancy per P90-P10 change unit-level of educati
253  We further estimated the potential gains in life expectancy (PGLE) by assuming that ambient PM2.5 ha
254 cted to be inversely linked to the remaining life expectancy, potentially resulting in a terminal eff
255 eatment after muscle disease onset increased life expectancy, promoted muscle growth and increased mu
256        We aimed to estimate quality-adjusted life expectancy (QALE) loss due to dental conditions in
257 a common practice due to its great impact on life expectancy, quality of life and healthcare costs.
258                                     For men, life expectancy ranged from 15.6 years (95% CI: 15.4, 15
259                       With freshwater mussel life expectancy ranging from a few years up to 200 years
260 S$24 800 and witnessing a 6-year increase in life expectancy, reaching 71.4 years by 2015.
261 GNIFICANCE STATEMENT As a result of enhanced life expectancy, researchers have devoted increasing att
262 y transplant to selected patients who have a life expectancy shorter than the time it would take for
263 ith disability-free and chronic disease-free life expectancy similarly in two longitudinal studies of
264           We compared sex-specific trends in life expectancy since 1970 and age-specific mortality in
265 many countries have seen slower increases in life expectancy since 2011, trends in England and Wales
266       In 2011-16, the rate of improvement in life expectancy slowed sharply for both sexes in England
267 ter decades of robust growth, the rise in US life expectancy stalled after 2010.
268 ve effort negatively covaries with remaining life expectancy, supporting optimality theory and confir
269 han 36 of the comparator countries but lower life expectancy than 60 comparator countries.
270 bariatric surgery was associated with longer life expectancy than usual obesity care.
271       Although PLHIV are experiencing longer life expectancies, this achievement may be undermined by
272 IV diagnosis improved projected undiscounted life expectancy to 25.5 years among infants with HIV and
273                              With increasing life expectancy, TTNtv-associated morbidity and mortalit
274                                  We adjusted life expectancy values for Moscow for underestimation of
275 etween the observed and the Preston-expected life expectancy values for Russia have diminished by abo
276  adult life and do not quit lose a decade of life expectancy versus non-smokers.
277  Otherwise, personalized strategies extended life expectancy versus routine PN: in CKD stages 2 or 3a
278 ase scenario, the standardized difference in life expectancy was <0.10 between TAVR and SAVR until tr
279                                  The loss in life expectancy was 1.9 years (95% CI: 1.2 to 2.6 years)
280 rly infant diagnosis, projected undiscounted life expectancy was 22.7 years for infants with HIV and
281 es of daily living and, chronic disease-free life expectancy was based on chronic health conditions.
282                          By contrast, female life expectancy was below the median and is among the lo
283                              Disability-free life expectancy was estimated using repeat measures of l
284 s observed in the United States, except that life expectancy was higher in Norway in the lower to mid
285                                              Life expectancy was highest for women with income in the
286  Although early survival was good, long-term life expectancy was low.
287                          The net increase in life expectancy was maintained in all simulated extreme
288                         In younger patients, life expectancy was reduced when TAVR durability was 30%
289                        The estimated loss in life expectancy was substantial, and increased with youn
290    Whilst early survival was good, long-term life-expectancy was low.
291 erformance status 0-3, and at least 3 months life expectancy were eligible.
292         At a 30% 5-year PFS, improvements in life expectancy were more modest (6.4 years) and expensi
293                       Endurance capacity and life expectancy were normal.
294         At a 25% 5-year PFS, improvements in life expectancy were smaller (3.4 years) and more expens
295 2015) and the potential increase in expected life expectancy with a simulated 20% reduction in drug-
296             Reliable population estimates of life expectancy with dementia are required for shaping h
297 ental disorders were associated with shorter life expectancies, with excess LYLs ranging from 5.42 ye
298 ssociated with mortality impacts and loss of life expectancy, with larger impacts in counties with lo
299 festyle risk factors equally correlated with life expectancy, with smoking being significantly worse
300 R) use is increasing in patients with longer life expectancy, yet robust data on the durability of tr

 
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