ライフサイエンスコーパス: male sex

1 scular magnetic resonance, 15.4 years; 66.8% male sex).

2 gestational age [SGA], multiple births, and male sex).

3 to GA at delivery, SGA, multiple births, and male sex.

4 older age, CD4 cell count at initiation, and male sex.

5 rs of radial access included younger age and male sex.

6 es included younger age (age 10-29 year) and male sex.

7 ence interval [CI], 1.65-2.06; P<0.0001) for male sex.

8 arly-resolving AD, which was associated with male sex.

9 ther cellular features characteristic of the male sex.

10 th assigned points) age <70 years (1 point); male sex (1 point); race: black (4 points), Hispanic (2

11 0.46-0.88; p=0.0064), but were shorter with male sex (1.41, 1.1-1.81; p=0.0072) and decreased appeti

12 , 2.17; 95% confidence interval, 1.01-4.67), male sex (2.09; 1.10-3.98), and more intensive care at a

13 ds ratio 5.03 [95% CI 4.23-5.98]; p<0.0001), male sex (2.32 [1.91-2.81]; p<0.0001), and age (0.63 per

14 s (relative risk [95% confidence interval]), male sex (2.7 [2.0-2.6]), prehypertension (1.4 [1.0-1.9]

15 with insulin independence after TP-IAT: (1) male sex, (2) lower body surface area, and (3) higher to

16 verall, MCRPEC infection was associated with male sex (209 [41%] vs 47 [63%], adjusted p=0.011), immu

17 ian patient age (54 vs 61 years, P < .0001), male sex (35% vs 49%, P < .0001), location in fornix (2%

18 01), and a higher prevalence of being of the male sex (42% vs 26%, P<0.05), having diabetes (62% vs 3

19 tio [HR], 0.97 per year; 95% CI, 0.94-0.99), male sex (62.0% vs 49.7%; HR, 1.69; 95% CI, 1.13-2.52),

20 asthma who consented, 286 (mean age, 7.7 yr; male sex, 65.8%) were mite sensitized, and 284 were rand

21 more than 1 operation (59.3% vs 40.0%), and male sex (75% vs 56%) were associated with DVT formation

22 controls; odds ratio [OR], 1.04; P = 0.001), male sex (76.8% of cases and 58.7% of controls; OR, 2.38

23 developing intraoperative SCH during PPV are male sex, advancing age, RRD, a scleral explant, a dropp

24 Previous ICrH, thrombolysis, and male sex affected the risk, whereas an increased use of

25 On multivariate analysis, male sex, African-American race, and non-Hispanic white

26 veral sociodemographic variables (older age, male sex, African-American race, divorced or widowed sta

27 io [OR], 1.06; 95% CI, 1.04-1.09; P < .001), male sex (age-adjusted OR, 1.39; 95% CI, 1.02-1.91; P =

28 Bacteremia was associated with male sex, age >/=65 years, and specific serotypes.

29 Patients who met the eligibility criteria (male sex, age <6 years, severe hemophilia A, and no prev

30 Additional inclusion criteria were male sex, age 10 to 12 years or 23 to 40 years, and stim

31 d with reduced symptoms at 48 weeks included male sex, age 50 years and older, initial infectious pro

32 icant risk factors for harmful drinking were male sex, age younger than 18 years at transplantation,

33 In Raynaud phenomenon, male sex, age, and serum creatinine are related to morta

34 Risk factors include obesity, male sex, age, menopause, fluid retention, adenotonsilla

35 ears of life (aHR, 1.83; 95% CI, 1.38-2.42), male sex (aHR, 1.28; 95% CI, 1.02-1.61), and birthday in

36 Increasing age (>40 years), male sex, alanine aminotransferase levels and visceral a

37 Age, male sex, alcohol drinking, cigarette smoking, elevated

38 for >/=54 years, P < .001) and male (21 for male sex and 19 for female sex, P < .001) patients from

39 Male sex and African/Afro-Caribbean ethnicity demonstrat

40 Male sex and age were also associated with appropriate I

41 Together with male sex and age, LDL-C was independently associated wit

42 nd QFT-only positive results associated with male sex and ages of 60 years and older.

43 Risk factors for elevated IOP were male sex and anterior uveitis.

44 Male sex and IL-6 T-cell responses to elastin fragments

45 icide risk was independently associated with male sex and mental disorders but not with military-spec

46 Male sex and obesity were significantly associated with

47 Male sex and older age are risk factors for toxoplasmic

48 ring system consisted of clinical variables (male sex and previous percutaneous coronary intervention

49 ersely prognostic for OS (P = .036), whereas male sex and splenic involvement were adversely prognost

50 Male sex and the use of ex vivo lung perfusion were asso

51 Predictors of favorable outcome were male sex and use of 2 or more immunotherapeutic agents w

52 Young age, male sex, and a higher level of education were predictor

53 ated with mean serum corpuscular hemoglobin, male sex, and age.

54 ts associated with the presence of BCG scar, male sex, and ages of 60 years and older, and QFT-only p

55 Older age, male sex, and black race associated with higher incidenc

56 Conclusions and Relevance: Age at diagnosis, male sex, and DFSP tumor size appear to be important pro

57 Studies have established that advanced age, male sex, and European ancestry are prominent AF risk fa

58 atocellular carcinoma, post-LT low anti-HBs, male sex, and HBsAg-positivity in the explant liver tiss

59 Increased age, male sex, and HBV coinfection predicted significant fibr

60 tion, peripheral artery disease, Asian race, male sex, and high Killip class were significantly assoc

61 s significantly associated with younger age, male sex, and higher IOP (all P < .001).

62 ation between increased CCT and younger age, male sex, and higher IOP but not glaucoma or CDR.

63 ariable, repeated measures model, older age, male sex, and hypertension were associated with lower LD

64 on of higher baseline MDS-UPDRS motor score, male sex, and increased age, as well as a novel Parkinso

65 associated with nonwhite race, younger age, male sex, and lack of access to health care.

66 Younger age, male sex, and larger body size correlated with higher PC

67 Older age, male sex, and lower education, income, and cognitive res

68 n U.S.-born participants and with older age, male sex, and past LTBI treatment in foreign-born partic

69 In patients with the FAI, younger age, male sex, and phakic lens status were associated with hi

70 Multivariable analyses showed that age, male sex, and presence of FH were independent predictors

71 iate uveitis, posterior uveitis, panuveitis, male sex, and previous cataract surgery.

72 Older age, male sex, and progression to generalized myasthenia grav

73 Infarct region, infarct-related artery, male sex, and RVEF </=35% were univariable predictors of

74 oints, whereas previous depressive episodes, male sex, and suicidality additionally predicted poor 1-

75 Age, male sex, and the number and types of organ failure were

76 The risk for cancer increases with age, male sex, and the presence of coexisting neuronal cell-s

77 risk imparted by increased age, white race, male sex, and thoracic organ transplantation.

78 ass index and insulin resistance, older age, male sex, and treatment with beta-blockers.

79 o, 5.4 [95% confidence interval, 1.4-21.1]); male sex; and venous thromboemboli.

80 Advancing age, male sex, antihypertensive drug use, higher body mass in

81 ; 95% confidence interval [CI], 1.1-1.5) and male sex (aPR, 1.3; 95% CI, 1.1-1.5) were associated wit

82 ity acquisition, prosthetic heart valve, and male sex are associated with increased risk of IE.

83 regression multivariate analysis identified male sex as an independent predictor of all-cause mortal

84 I in males; however, as clinically observed, male sex associated with more severe UTI once these trad

85 and young adult transgender women assigned a male sex at birth who identify as girls, women, transgen

86 Among 4,586 participants assigned male sex at birth, 937 (20%) identified as transgender o

87 Male sex, baseline conduction disturbances, and intrapro

88 sk factors with DD varied considerably, with male sex being associated positively with DD for one def

89 Male sex (beta coefficient=0.44; 95% confidence interval

90 , age (beta=0.2 mL/m(2) per year, P<0.0001), male sex (beta=-4.2 mL/m(2), P<0.0001), obesity (beta=1.

91 Male sex, Black race, and elevated blood alcohol content

92 risk factors in the ARIC study included age, male sex, black race, current smoking, systolic blood pr

93 Older age, male sex, black race, lower income, tumor size, and pres

94 /QFT(-) discordance was associated with age, male sex, black race, Mexican-American ethnicity, previo

95 After multivariable adjustment, older age, male sex, black race, renal disease, diabetes mellitus,

96 t, nongastric band surgery, age >/=60 years, male sex, BMI >/=50 kg/m, postoperative hospital stay >/

97 In adjusted models, age, male sex, body mass index, hypertension, and current smo

98 wheeze, eczema, aeroallergen sensitization, male sex, breast-feeding, and lower endotoxin exposure i

99 Univariate analysis showed that male sex, Caucasian race, increased T and N stage, GE ju

100 e, which drives the development of secondary male sex characteristics at the expense of suppressing i

101 Black race and male sex confound the unadjusted association of ER and o

102 gh elastic net regularization suggested that male sex, current smoking, statin use, elevated creatini

103 cific risk factors (age <18 or >/= 60 years, male sex, depleting antibody, HLA mismatch >/= 4) for BK

104 rphogenesis (Chinmo) acts with the canonical male sex determinant DoublesexM (Dsx(M)) to maintain the

105 Chinmo promotes expression of the canonical male sex determination factor DoublesexM (Dsx(M)) within

106 ects of reproduction and development such as male sex determination in branchiopod crustaceans.

107 activation, both of which are essential for male sex determination in mice.

108 ol of maleness, as it encodes a gene driving male sex determination, Sry, as well as a battery of oth

109 ns, and yet, paradoxically, is essential for male sex determination.

110 demonstrate that Dmrt1 is a candidate master male sex-determining gene in this TSD species, consisten

111 Caffeine use was associated with lower age, male sex, divorced marital status, living with children,

112 This male sex drive rhythm (MSDR) is mediated by the M cells

113 FRU network to mediate sleep suppression by male sex drive.

114 Risk factors for repeat IE were older age, male sex, drug abuse, and valvular replacement after an

115 high-intensity statin prescriptions included male sex, filling beta-blocker and antiplatelet agent pr

116 Risk factors for AF include age, male sex, genetic predisposition, hypertension, diabetes

117 date demonstrating that other risk factors (male sex, genetic variants, lighter skin color, high bod

118 general intelligence, musical training, and male sex having the biggest impacts.

119 significant factor associated with ERAF was male sex (hazard ratio [HR], 2.18; 95% confidence interv

120 confidence interval, 1.2-14.5; P=0.035), and male sex (hazard ratio, 1.8; 95% confidence interval, 1.

121 lism (hazard ratio: 1.04, 95% CI=1.02-1.07), male sex (hazard ratio: 1.74, 95% CI=1.03-2.93), and hig

122 ards ratio, 2.10; 95% CI, 1.52-2.95) but not male sex (hazards ratio, 1.47; 95% CI, 0.93-2.32) was de

123 Male sex, high levels of bone resorption (serum type I c

124 obesity, hypertension, deep vein thrombosis, male sex, high-sensitivity C-reactive protein greater th

125 Baseline uric acid was 5.57+/-1.48 mg/dL; male sex, higher BMI, diuretic use, and lower GFR were a

126 Male sex, higher body mass index, concomitant sleep apne

127 d with prescription of aspirin only, whereas male sex, higher body mass index, prior stroke/transient

128 Younger age, male sex, higher income, lower BMI, and fewer depressive

129 Male sex, higher lung function and body mass index, and

130 on include geographic location, younger age, male sex, higher New York Heart Association class, worse

131 oth significantly associated with older age, male sex, higher systolic blood pressure (SBP), faster h

132 rs of coronary arteries scores >/=1 included male sex, history of an AIDS-defining condition, longer

133 Among patients undergoing TAVR, younger age, male sex, history of diabetes mellitus, and moderate to

134 Age, male sex, history of previous ASCVD, high blood pressure

135 s (sex work, injecting drug use, and male-to-male sex), HIV and ART status within married or cohabiti

136 younger than 18 years or 60 years or older, male sex, HLA mismatch or 4 greater, acute rejection, an

137 iological and disease processes sensitive to male sex hormone actions, thereby not only affecting the

138 erone pellets validates an important role of male sex hormone in castration-induced nigrostriatal pat

139 ive, linear relationship with the level of a male sex hormone, testosterone, using the Pearson correl

140 Testosterone (T) is the principal male sex hormone.

141 at ILC2 development is greatly influenced by male sex hormones.

142 r age (HR 1.07; 95% CI 1.04-1.10; P < .001), male sex (HR 2.09; 95% CI 1.20-3.65; P = .010), higher l

143 ars vs <75 years, 1.23 [95% CI, 1.08-1.41]), male sex (HR, 1.21; 95% CI, 1.12-1.31), end-stage renal

144 t skin cancer (HR, 4.69; 95% CI, 3.26-6.73), male sex (HR, 1.56; 95% CI, 1.34-1.81), white race (HR,

145 n abnormality (HR, 2.19; 95% CI, 1.86-2.57), male sex (HR, 1.65; 95% CI, 1.41-1.93), ischemia at stre

146 nterval [95% CI], 2.25 to 3.89; P<0.001) and male sex (HR, 1.88; 95% CI, 1.50 to 2.35; P<0.001) was a

147 io [HR], 1.08; 95% CI, 1.06-1.10; P < .001), male sex (HR, 1.97; 95% CI, 1.09-3.55; P = .03), and tum

148 tic heart valve (HR, 6.2; 95% CI, 3.8-10.1), male sex (HR, 2.0; 95% CI, 1.1-3.8), and community acqui

149 cular tachycardia (HR: 2.19; p = 0.023), and male sex (HR: 2.49; p = 0.012).

150 Male sex (HR=1.41; p<0.001), older age at onset (age </=

151 rd ratio (HR), 1.38 (95% CI, 1.05-1.82); (2) male sex, HR, 1.48 (95% CI, 1.06-2.07); (3) age of 18 to

152 and intensity of statin therapy, older age, male sex, hypertension, and better socioeconomic status.

153 tablished risk factors for AF include aging, male sex, hypertension, valve disease, left ventricular

154 der, including family history of alcoholism, male sex, impulsivity, and low level of response to alco

155 atures included stage III disease in 64% and male sex in 20%.

156 that HIV prevention messages regarding male-male sex in South Africa should be mainstreamed with pre

157 Increasing body mass index and male sex increase the relative risk of specific CVD risk

158 stone-related acute hospitalization included male sex, increased age, fewer comorbid conditions, comp

159 Factors associated with perforation were male sex, increasing age, 3 or more comorbid conditions,

160 Male sex, increasing age, increasing comorbidity, open s

161 Male sex, increasing age, surgery during current hospita

162 failure to return home were increasing age, male sex, increasing comorbidities, decreased cognitive

163 sis predicted DBS use including younger age, male sex, increasing income quartile of patient zip code

164 Male sex is an age-specific effect modifier for ulcerate

165 Male sex is associated with worse memory and HVa among c

166 was more strongly associated with HFpEF, and male sex, left ventricular hypertrophy, bundle branch bl

167 as associated with nonwhite race, older age, male sex, less than high school education, lack of priva

168 sk factors for sagging eyelids included age, male sex, lighter skin color, and higher body mass index

169 actors urban living, number of siblings, and male sex lost their importance.

170 ion in infants is associated with young age, male sex, low viral load, specific viruses, and single v

171 was significantly associated with older age, male sex, lower household income, family structure and h

172 nt risk factors for vascular death were age; male sex; lower income; dementia; chronic kidney disease

173 In multivariable models, younger age, male sex, Malay and Indian ethnicities, presenting dista

174 up were younger, with a higher prevalence of male sex, malnutrition, advanced tumor stage, squamous c

175 These results suggest that male sex may be a risk factor for harm by CRT in patient

176 Male sex (men vs women, 37.7 mm(3); 95% confidence inter

177 Older age, male sex, multiple intervening self-poisoning episodes,

178 Male sex, multiple organ failure, increasing percentage

179 y extrinsic interactions with the developing male sex muscles.

180 In multivariate modeling young age, male sex, non-Hispanic black race/ethnicity, geographic

181 There was evidence that male sex, nonwhite race/ethnicity, lower level of parent

182 istics associated with disagreement included male sex, northern rural residence, early BMD test year,

183 ariate logistic regression demonstrated that male sex (odds ratio = 1.18; 95% CI, 1.01-1.36), Charlso

184 odel, significant predictors for RW-ROP were male sex (odds ratio [OR], 1.80; 95% CI, 1.13-2.86 vs fe

185 % confidence interval, 1.02-1.06; P=0.0001), male sex (odds ratio, 1.96; 95% confidence interval, 1.1

186 associated with a reduced chance of success: male sex [odds ratio (OR) = 0.27; 95% confidence interva

187 ngest predictors included sociodemographics (male sex [odds ratio (OR), 7.9; 95% CI, 1.9-32.6] and la

188 risk of incident oral HPV infection, whereas male sex, older age, and current smoking increased the r

189 following cardiopulmonary resuscitation were male sex, older age, receipt of care in a nonmedical cen

190 Male sex (OR, 0.76; 95% CI, 0.69-0.83) and anxiety (OR,

191 2; 95% confidence interval [CI], 2.42-4.03), male sex (OR, 1.22; 95% CI, 1.12-1.34), and level of edu

192 nd panuveitis (OR, 1.81; 95% CI, 1.09-3.01), male sex (OR, 1.59; 95% CI, 1.05-2.42), and history of c

193 e vs less than 2 (OR, 1.5; 95% CI, 1.0-2.3), male sex (OR, 1.6; 95% CI, 1.1-2.3), and work-related re

194 [95% CI, 1.8-5.1] for volumes >/=1 mL), and male sex (OR, 1.7 [95% CI, 1.1-2.6]), whereas an age of

195 tio [OR], 1.01; 95% CI, 1.00-1.02; P = .01), male sex (OR, 1.95; 95% CI, 1.57-2.42; P < .001), and bl

196 ne (OR, 6.6; 95% CI, 3.9 to 11.0; P < .001), male sex (OR, 2.9; 95% CI, 1.7 to 4.8; P < .001), endors

197 .35; CI: 1.91-2.89) compared with age 70-79, male sex (OR: 1.29; CI: 1.24-1.34), races black (OR: 1.3

198 Predictors of high persistence included male sex (OR=1.4; 95% CI=1.1-1.7), current use of cortic

199 , urban living, OR 1.9 (95% CI 1.2-2.9), and male sex, OR 1.3 (95% CI 1.0-1.7), and negatively associ

200 Male sex, overweight, and hyperglycemia at admission wer

201 y associated with white race, older age, and male sex (P < .001).

202 e or Latino ethnicity (P < 0.0001 for both), male sex (P < 0.0001), lower income (P < 0.0001 for all

203 redictors of 3-year all-cause mortality were male sex (p < 0.001), low body mass index, (p < 0.001),

204 nt predictor of IPF diagnosis (P < .001) and male sex (P = .003).

205 ting the likelihood of reporting showed that male sex (P = .009), low-risk patient (P < .0001), self

206 rs for an incomplete treatment response were male sex (P = .01) and inflammation extending to extraoc

207 d with ln(Feno) levels (P = .03), as well as male sex (P = .025), wheezing causing shortness of breat

208 ss (P < .001), high modified CRS (P = .009), male sex (P = .03), and no history of prior hepatectomy

209 Male sex (p = 0.01), nonmissense mutations (p = 0.03), a

210 ain predictors for the primary endpoint were male sex (p = 0.022), NYHA functional class III or IV (p

211 otal proteins (P = 0.03, OR = 0.7 per g/dL), male sex (P = 0.03, OR = 1.6), ongoing anticoagulant tre

212 8 years and at 16 years were increased with male sex (p=0.001 and p<0.0001, respectively), low famil

213 Male sex (P=0.048), elevated C-reactive protein (P=0.013

214 cted pancreatic MCNs for which risks include male sex, pancreatic head and neck location, larger MCN,

215 Male sex, pancreatic insufficiency, meconium ileus, hist

216 Male sex, parental history of asthma and HDM sensitisati

217 years or 16-17 years and married, reported a male sex partner in Lilongwe, and intended to remain in

218 re HIV-positive and 49% had an uncircumcised male sex partner.

219 s vs. 37 years; P < 0.001) and reported more male sex partners (11 vs. 8; P < 0.001) and more methamp

220 8-5.69 times) that for women who reported no male sex partners in the past 6 months.

221 Lifetime number of male sex partners was also positively associated but onl

222 ntibiotic use, and no male patients reported male sex partners.

223 Transfer of male sex peptide (SP) during copulation mediates these p

224 We tested the hypothesis that the male sex pheromone in the noctuid moth Heliothis viresce

225 treated females were less responsive to the male sex pheromone or unable to use it as a cue at all.

226 Since the female and male sex pheromones are biosynthetically related in this

227 was associated with older age at diagnosis, male sex, poor initial levodopa treatment response, and

228 In prognostic analyses, advanced age, male sex, poorer PS, increasing ratio of positive to exa

229 regression analyses laparoscopic surgery and male sex predicted an event-free recovery.

230 ned monomorphic ventricular tachycardia, and male sex predicted lethal arrhythmias at follow-up.

231 factors associated with disengagement (age, male sex, pregnancy at ART start [HR 1.58, 95% CI 1.47-1

232 In univariate analysis, male sex, previous endocarditis, in situ stents in the r

233 additional risk factor (older than 65 years, male sex, previous venous thromboembolism, cancer, autoi

234 Male sex, primary diagnosis of stroke, and higher Acute

235 an Society of Anesthesiology classification, male sex, prior abdominal surgery, and resection type.

236 th developing QRS prolongation included age, male sex, prior myocardial infarction, and left ventricu

237 Older age, male sex, prior myocardial infarction, lower ejection fr

238 The high female-to-male sex ratio of multiple sclerosis (MS) prevalence has

239 Male sex ratio skews also occurred for the lower clotrim

240 Female-to-male sex ratio was 1.6:1.

241 Female to male sex reversal was achieved in an emerging agricultur

242 ypically leads to masculinization (female-to-male sex reversal), resulting in neomales.

243 heart disease (RR, 1.11; 95% CI, 1.10-1.11), male sex (RR, 1.10; 95% CI, 1.09-1.10), black race (RR,

244 [95% confidence interval [CI], 23.7-25.1]), male sex (RR, 1.20 [95% CI, 1.16-1.24]), increasing age

245 Among HIV-infected individuals, male sex (RR, 1.57 [95% CI, 1.49-1.66]), smoking (RR, 1.

246 ow development scores and stunting, poverty, male sex, rural residence, and lack of cognitive stimula

247 Lower age, male sex, smoking, and lower income directly predicted w

248 ssion in Barrett's Esophagus score) based on male sex, smoking, length of BE, and baseline low-grade

249 Male sex, smoking, length of BE, and baseline-confirmed

250 to age (standardized beta = 0.32, P < .001), male sex (standardized beta = 0.36, P < .001), body mass

251 tent of structural disease; cardiac syncope; male sex; the presence of multiple mutations or a mutati

252 Male sex, tumor size larger than 5 cm, treatment at an a

253 nts considered "too well" were advanced age, male sex, university hospital admission, comorbidity, an

254 Steroid use, male sex, urban practice, public insurance, Hispanic eth

255 Among the entire cohort, Hispanic ethnicity, male sex, VAT, and HOMA-IR were independently associated

256 es involving 438 patients (381 female and 56 male [sex was not specified in 1 patient]; mean age at t

257 Male sex was a statistically significant (P = .02) predi

258 Male sex was also predictive of language impairment in e

259 Through subset analysis, male sex was associated with a higher ocular surface sco

260 Male sex was associated with increased risk of cognitive

261 Male sex was not associated with treatment escalation.

262 Male sex was often a predictor of positive changes in BT

263 Male sex was statistically significantly associated with

264 Male sex was strongly associated with treatment eligibil

265 Gestational age and male sex were also independently but more weakly associa

266 Older age and male sex were associated with a higher incidence of dise

267 Previous ICrH, increasing age, and male sex were associated with increased risk during days

268 sis, previous ICrH, atrial fibrillation, and male sex were associated with increased risk of ICrH dur

269 High numeracy scores, older age, and male sex were associated with more accurate perceptions

270 Age and male sex were associated with other arterial events, but

271 airway hyperresponsiveness at baseline, and male sex were associated with reduced growth (P<0.001 fo

272 individuals, lower CD4(+) T-cell counts and male sex were independent predictors of nonresponse to i

273 initial sputum culture grade (2+ or 3+), and male sex were significantly associated with higher odds

274 Childhood impairment of lung function and male sex were the most significant predictors of abnorma

275 complications of GERD include advanced age, male sex, white race, abdominal obesity, and tobacco use

276 e chronic GERD, hiatal hernia, advanced age, male sex, white race, cigarette smoking, and obesity wit

277 ng risk factors for recurrence: younger age, male sex, white race, family history of stones, prior as

278 Associations of male sex with initial diagnoses of CVD, however, varied

279 of cancer treatment included low CD4 count, male sex with injection drug use as mode of HIV exposure

280 th all periodontitis case definitions and of male sex with severe periodontitis and EWP-specific defi

281 Nairobi should focus on condom promotion for male sex workers and MSM in particular, followed by impr

282 IV and sexually transmitted infections among male sex workers and reduce the likelihood of these peop

283 affirming services dedicated specifically to male sex workers are needed to improve health outcomes f

284 If PrEP for male sex workers cost as much as US$500, average annual

285 PrEP for male sex workers could enter an optimal portfolio at sim

286 d to be less than $3.27 million for PrEP for male sex workers to be excluded from an optimal portfoli

287 Male sex workers who sell or exchange sex for money or g

288 ained or increasing burden of HIV among some male sex workers within the context of the slowing globa

289 all but with a large sub-epidemic in MSM and male sex workers, an optimal prevention portfolio for Na

290 pecific key populations (female sex workers, male sex workers, and men who have sex with men [MSM]) a

291 together with complex sexual networks among male sex workers, define this group as a key population

292 ating HIV acquisition and transmission among male sex workers, including biological, behavioural, and

293 Male sex workers, irrespective of their sexual orientati

294 Although data from two countries include male sex workers, the numbers are so small that the find

295 hy and greater number of injections, whereas male sex, worse vision, lesser change in central macular

296 Among HIV-infected patients, male sex, younger age, and recent incarceration were pos

297 Male sex, younger age, and shorter axial length are the

298 th higher intelligence, East Asian ancestry, male sex, younger age, formal music training-especially

299 awareness and treatment were associated with male sex, younger age, lower income, and an absence of p

300 y-assessed time spent asleep were lower with male sex, younger age, sleep efficiency <85%, and night-