ライフサイエンスコーパス: meta-analyses

1 dy reporting a median power of 21% across 49 meta-analyses.

2 human gut microbiome studies and facilitate meta-analyses.

3 ), as well as the reference lists of earlier meta-analyses.

4 i-HBs were estimated in random-effects model meta-analyses.

5 hort-specific estimates using random-effects meta-analyses.

6 Nutrition Examination Survey, and published meta-analyses.

7 unting for 10 400 subjects, were included in meta-analyses.

8 eement with those achieved with conventional meta-analyses.

9 32) mortality; similar results were shown by meta-analyses.

10 that our model is better than other types of meta-analyses.

11 utcomes were also compared with conventional meta-analyses.

12 subject to systematic/integrative reviews or meta-analyses.

13 dpoint analyses used individual patient data meta-analyses.

14 istical power to detect such signals through meta-analyses.

15 ary study results and summary estimates from meta-analyses.

16 udy reporting the interaction and subsequent meta-analyses.

17 ng, justifying the use of pooled analyses or meta-analyses.

18 GPX3-TNIP1 locus with ALS using cross-ethnic meta-analyses.

19 s, including random-effects Bayesian network meta-analyses.

20 ata from different studies in random-effects meta-analyses.

21 horts: 11 499 patients) were included in the meta-analyses.

22 s ratios were summarized with random-effects meta-analyses.

23 We performed Bayesian network meta-analyses.

24 and not eligible to be included in efficacy meta-analyses.

25 Twelve studies qualified for three meta-analyses.

26 levels in SCZ patients validated by several meta-analyses.

27 re calculated and pooled using fixed-effects meta-analyses.

28 on criteria; 20 studies were included in the meta-analyses.

29 d Reporting Items for Systematic Reviews and Meta-Analyses.

30 effects on brain volume suggested by earlier meta-analyses.

31 litatively synthesized new trials with prior meta-analyses.

32 In our meta-analyses, 1 genome-wide significant association was

33 Meta-analyses across the replication samples indicate th

34 Meta-analyses addressing almost all major clinical issue

35 Here, we conduct phylogenetic meta-analyses addressing slope estimates of the timing o

36 and more heterogeneously distributed across meta-analyses and disciplines.

37 Results were pooled in meta-analyses and expressed as odds ratios (ORs) or beta

38 dations that will be useful for carrying out meta-analyses and for readers and journal editors, who m

39 application of these methods in ongoing GWAS meta-analyses and large biobank studies.

40 tudies, increasing data utility and allowing meta-analyses and pathogen-specific burden estimates to

41 Recent meta-analyses and randomized trials on secondary prevent

42 Reference lists of previous reviews and meta-analyses and reports of randomized clinical trials

43 ociations between MedSD and CVD risk, future meta-analyses and systematic reviews should not only fol

44 Meta-analyses and systematic reviews were prioritized; c

45 d Reporting Items for Systematic Reviews and Meta-Analyses) and MECIR (Methodological Expectations of

46 impact of different study designs (including meta-analyses) and the use of structured tools to assess

47 ified, 27 (11 RCTs, 11 systematic reviews or meta-analyses, and 5 reviews/guidelines) were selected f

48 42 cohort studies, 5 systematic reviews and meta-analyses, and 55 were other categories.

49 A number of analyses, meta-analyses, and assessments, including those performe

50 mized controlled trials, systematic reviews, meta-analyses, and clinical practice guidelines from 201

51 We summarize our methods for searches, meta-analyses, and modeling including a compartmental mo

52 ocused on guidelines, systematic reviews and meta-analyses, and randomized controlled trials publishe

53 es had consisted only of observational data, meta-analyses, and small feasibility trials.

54 Review articles, meta-analyses, and studies without human subjects were e

55 dentify randomized controlled trials (RCTs), meta-analyses, and systematic reviews that addressed scr

56 iabetes, using a standardised analysis plan, meta-analyses, and weighted gene-centric scores.

57 pplemented by randomized, controlled trials; meta-analyses; and systematic reviews.

58 Meta-analyses are becoming increasingly popular, especia

59 Meta-analyses are increasingly used for synthesis of evi

60 Higher-quality trials and patient-based meta-analyses are needed to determine whether subpopulat

61 Large prospective cohorts and updated meta-analyses are needed to provide more precise estimat

62 It also addresses how meta-analyses are not free from limitations and how impo

63 zed clinical trials, systematic reviews, and meta-analyses, as well as secondary analyses of RCTs in

64 Random effects meta-analyses assessed associations between 25(OH)D and

65 Meta-analyses based on 735 literature data points of min

66 been inferred from observational studies and meta-analyses, but their mechanisms have not been direct

67 01232-CUBN) and gene-level (CIITA and PARP4) meta-analyses, but these did not survive replication.

68 d Reporting Items for Systematic Reviews and Meta-Analyses checklist was used to guide the structure

69 In meta-analyses, children younger than 5 years were more l

70 Multiple meta-analyses combining results from heterogeneous analy

71 We also conducted meta-analyses, combining our estimates of the associatio

72 Recent meta-analyses concluded that most communities are underg

73 Additional meta-analyses confirmed that epigeic and, more important

74 replications of classic expectancy studies, meta-analyses consistently demonstrating small or at bes

75 included systematic reviews with or without meta-analyses, criteria of diagnostic accuracy, and evid

76 For the meta-analyses, data were analyzed on RevMan version 5.2

77 Meta-analyses demonstrate that simulated future climates

78 that could be combined using random effects meta-analyses (DerSimonian-Laird method).

79 We performed 3 meta-analyses each for CD, UC, and IBD (CD and UC combin

80 Meta-analyses estimated the proportion of GBS disease in

81 Random-effects meta-analyses examined male-to-female (M:F) ratios in TB

82 nd choosing a pooling model for conventional meta-analyses (fixed effect or random effects) on the ba

83 Consistent with the pooled analysis, meta-analyses for all-cause mortality at week 52 also sh

84 We performed separate meta-analyses for each of these 3 subpopulations.

85 Finally, we report meta-analyses for each result.

86 Pairwise meta-analyses for fall-related hospitalizations (2 RCTs;

87 Random-effects meta-analyses for outcomes with >/=4 RCTs were performed

88 review of operational interventions, and did meta-analyses for sufficiently comparable data.

89 definitions were too inconsistent for formal meta-analyses for the bisphosphonate trials.

90 constructed three very large gene expression meta-analyses from clinical samples, and then examined m

91 d Reporting Items for Systematic Reviews and Meta-Analyses guidance.

92 d Reporting Items for Systematic Reviews and Meta-Analyses guidelines was prepared for the inclusion

93 d Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

94 referred Reporting of Systematic Reviews and Meta-Analyses guidelines.

95 d Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

96 d Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

97 d Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

98 To our knowledge, no systematic reviews or meta-analyses have been conducted to assess the effectiv

99 Recent large-scale meta-analyses have combined studies of different ethnici

100 ave produced conflicting findings, and prior meta-analyses have found no significant association.

101 In order to build large databases, these meta-analyses have merged patients with rigorously asses

102 Randomized clinical trials (RCTs) and meta-analyses have reported different conclusions about

103 Recent meta-analyses have, however, reported reduced hippocampa

104 i associated with heart rate from Exome Chip meta-analyses.Heart rate was measured from either elecrt

105 isting quantitative trait and binary outcome meta-analyses (human height, QTc interval and gallbladde

106 These meta-analyses identified (P < 5 x 10-8) three novel loci

107 d, and that most individual participant data meta-analyses identified significant heterogeneity.

108 Meta-analyses in humans and mice, along with our own mou

109 METHODS & Using genome-wide association meta-analyses in up to 159,940 individuals from 82 cohor

110 We conducted staged GWAS meta-analyses in up to 69,414 East Asian individuals fro

111 ighted fixed-effects genome-wide association meta-analyses in up to 9,594 women and 8,738 men of Euro

112 Our meta-analyses included 13 RCTs comprising 2970 psychiatr

113 We identified 64 meta-analyses, including 540 randomized controlled trial

114 However, field studies and meta-analyses indicate a nonlinear relationship, in whic

115 Our meta-analyses indicate protection against child infectio

116 Previous meta-analyses indicate that computerized cognitive train

117 Meta-analyses indicated that prebiotics reduce C-reactiv

118 We included only systematic reviews, meta-analyses, interventional studies, and observational

119 s weaknesses of previous imaging studies and meta-analyses, namely inadequate sample size and methodo

120 Network meta-analyses (NMA) were performed using random-effects

121 of the methodological complexity of network meta-analyses (NMAs), NMAs may be more vulnerable to met

122 Meta-analyses of 21 interventions fully or partially rec

123 Using null-models and meta-analyses of 22 factorial experiments in herbaceous

124 Second, individual patient data meta-analyses of 40,781 women randomly assigned to breas

125 In meta-analyses of 6 cRCTs with full randomization (rated

126 In meta-analyses of a discovery set of 552 cases with TMPRS

127 Meta-analyses of blinded trials of non-drug treatments h

128 We did pooled analyses and meta-analyses of clinical trials of pirfenidone versus p

129 on, we performed large-scale, trans-ancestry meta-analyses of common and rare variant association stu

130 systematic review with pairwise and network meta-analyses of efficacy and tolerability.

131 effect size of risk factors on stunting from meta-analyses of epidemiological studies and assumed tha

132 the applicability of evidence from existing meta-analyses of exercise-based cardiac rehabilitation (

133 tide variants (SNVs) associated with BP from meta-analyses of exome chip genotype data.

134 A systematic review with meta-analyses of experimental rodent studies was conduct

135 individuals with addiction using image-based meta-analyses of fMRI studies.

136 Large-scale meta-analyses of genome-wide association studies (GWAS)

137 In two-stage meta-analyses of genome-wide association studies for thr

138 We conducted meta-analyses of genome-wide association study data on 2

139 l Insulin Sensitivity Index (ISI) within the Meta-Analyses of Glucose and Insulin-Related Traits Cons

140 terials and Methods MEDLINE was searched for meta-analyses of imaging diagnostic accuracy studies, pu

141 We conducted random-effects meta-analyses of incidence, case fatality risk (CFR), an

142 The use of meta-analyses of individual participant data provides su

143 In meta-analyses of individual-level data from the MDRD and

144 sed control animal-data from two independent meta-analyses of large animal MI models.

145 critically evaluate the evidence across 314 meta-analyses of observational studies and randomized co

146 rmed an umbrella review of the evidence from meta-analyses of observational studies and randomized co

147 Heterogeneity is of key importance in meta-analyses of observational studies because it affect

148 o critically evaluate the evidence across 13 meta-analyses of observational studies of gene-diet inte

149 unique outcomes examined in the 20 selected meta-analyses of observational studies, caffeine was ass

150 unique outcomes examined in the selected 112 meta-analyses of observational studies, coffee was assoc

151 In meta-analyses of P-wave duration, we identified 6 signif

152 puts, can facilitate multicenter studies and meta-analyses of pooled data, and could provide the foun

153 al misidentifications, were identified using meta-analyses of previous functional magnetic resonance

154 The model was parameterized with meta-analyses of previously published studies.

155 Our meta-analyses of prospective cohort studies show that ma

156 imated associations of diet and disease from meta-analyses of prospective studies and clinical trials

157 We also perform meta-analyses of public transcriptomics and proteomics d

158 Our study is not subject to the biases of meta-analyses of published data, and it represents an im

159 n their study can bias accuracy estimates in meta-analyses of published results.

160 Meta-analyses of randomized clinical trials comparing th

161 Meta-analyses of randomized controlled trials (RCTs) sug

162 ue acute outcomes examined in the selected 9 meta-analyses of RCTs, coffee was associated with a rise

163 ata from genome-wide association studies and meta-analyses of schizophrenia and 25(OH)D to obtain bet

164 We conducted GWAS meta-analyses of six erythrocyte traits in 71,638 indivi

165 Meta-analyses of small trials suggest that levosimendan

166 We used a random-effects model for the meta-analyses of specific perinatal outcomes.

167 tial inconsistency was identified in network meta-analyses of stroke and angina pectoris, limiting th

168 Further research, including meta-analyses of studies of rarer outcomes (e.g., cerebr

169 e of the Journal, Dr. Infante suggested that meta-analyses of studies on childhood leukemia and proxi

170 The controversy largely hinges on meta-analyses of studies that suggest that antidepressan

171 ses from clinical samples, and then examined meta-analyses of subsets of the datasets (all combinatio

172 Meta-analyses of Swedish and UK results revealed no sign

173 nce from high-quality systematic reviews and meta-analyses of the ABCS therapies.

174 Meta-analyses of the results and additional regional-lev

175 Genetic association and meta-analyses of the results in several large family-bas

176 Substantial heterogeneity was reported for meta-analyses of the Shigella-associated mortality studi

177 We also did meta-analyses of these data and data from two Japanese t

178 In contrast, GWAS meta-analyses of two other brain diseases associated wit

179 However, meta-analyses of vitamin D supplementation trials have f

180 Meta-analyses on aggregated study data (random-effects m

181 Meta-analyses on shunt dependency showed an absolute ris

182 stematically identify systematic reviews and meta-analyses on the epidemiology of allergic diseases t

183 We performed 2 meta-analyses, one in individuals of European, South Asi

184 tical approaches to clinical trials (9%) and meta-analyses or pooled study research (7%).

185 d Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) and Meta-analysis of Observationa

186 d Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline.

187 d Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

188 d Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) recommendations.

189 d Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement to assess the clinical

190 he present trial and individual patient data meta-analyses provide evidence that, in patients with se

191 Nonetheless, meta-analyses provide evidence to support the systemic a

192 re are almost as many systematic reviews and meta-analyses published as there are well-conducted clin

193 Several systematic reviews/meta-analyses published within the past 10 y have examin

194 Based on a survey of cardiovascular meta-analyses, published literature on methodology, expe

195 s were generally too small to conduct formal meta-analyses, published literature suggests that urban

196 We pooled data using random-effects meta-analyses, quantified heterogeneity using the I2 sta

197 using a systematic review (1996 to 2016) of meta-analyses, randomized clinical trials, observational

198 udy selection, we sought systematic reviews, meta-analyses, randomized clinical trials, prospective c

199 d study selection sought systematic reviews, meta-analyses, randomized controlled trials, prospective

200 idual postoperative adjuvant phase 3 trials, meta-analyses, retrospective analyses, reviews, and popu

201 Meta-analyses revealed a combined heritability estimate

202 of articles (case reports, original studies, meta-analyses, reviews) in English or French were consid

203 These meta-analyses show that the inhibition of A549 derived t

204 Meta-analyses showed 3 risk variants significantly incre

205 For some secondary outcomes, meta-analyses showed benefits for SIT, for example inves

206 d Reporting Items for Systematic Reviews and Meta-Analyses statement.

207 d Reporting Items for Systematic reviews and Meta-Analyses statement.

208 d Reporting Items for Systematic Reviews and Meta-Analyses statement.

209 Recent meta-analyses statistically analyzing de novo mutations

210 Unfortunately, problems among meta-analyses such as the misapplication and misinterpre

211 The meta-analyses suggested that nurses' personal smoking st

212 al trials are inconsistent, with study-level meta-analyses suggesting no significant effect on mortal

213 Results Ninety-eight meta-analyses summarizing 1458 primary studies met the i

214 professional societies were complemented by meta-analyses, systematic reviews, and randomized clinic

215 These data suggest that current meta-analyses/systematic reviews evaluating the effect o

216 nd risk factors, in a large random sample of meta-analyses taken from all disciplines.

217 Of 3397 publications, 29 meta-analyses testing 42 combination strategies in 381 i

218 ther promising predictor, supported by large meta-analyses that have highlighted the negative predict

219 It is the premise of this review that meta-analyses that include the large number of industry-

220 For our analysis, we selected all meta-analyses that included a minimum of 5 oral health r

221 wer is extremely low for studies included in meta-analyses that reported a null result and that it va

222 There were 20 meta-analyses that reported the odds ratios (ORs) and/or

223 inadequate to perform systematic reviews or meta-analyses, the available data suggest that food alle

224 literature: the strengths and weaknesses of meta-analyses; the scientific and regulatory context for

225 ew the literature systematically and perform meta-analyses to address these questions: 1) Is there ev

226 middle-income contexts, and then applied new meta-analyses to adjust for studies with less-sensitive

227 rval (CI) were combined using random effects meta-analyses to assess the risk of SP, when possible.

228 We used network meta-analyses to compare adherence and viral suppression

229 dy associations, we used meta-regression and meta-analyses to compare patients with and without TAMs

230 We undertook meta-analyses to derive pooled estimates of maternal GBS

231 We undertook meta-analyses to derive pooled estimates of the incidenc

232 We did meta-analyses to derive pooled estimates of the percenta

233 We did meta-analyses to derive pooled estimates of the percenta

234 We did meta-analyses to derive pooled estimates of the risk and

235 We did meta-analyses to determine pooled estimates of risk of E

236 We also performed meta-analyses to document enrichment of DNMs in candidat

237 We did random-effects meta-analyses to estimate summary statistics.

238 y applying the treatment benefit recorded in meta-analyses to event rates within CAC strata.

239 We did random effects meta-analyses to examine individual, household, and comm

240 g beetles and their associates and conducted meta-analyses to examine patterns in effects across guil

241 We performed meta-analyses to identify associations with common varia

242 We used fixed effects meta-analyses to pool estimates across studies.

243 used inverse variance weighted fixed-effects meta-analyses to pool the estimates.

244 We did pairwise and network meta-analyses to produce odds ratios (ORs) and 95% CIs.

245 logical quality and conducted random-effects meta-analyses to summarise relative risks of being widow

246 Meta-analyses used random effects models.

247 d the quality of the methods of the included meta-analyses using A Measurement Tool to Assess Systema

248 We conducted meta-analyses using a random-effects model.

249 We conducted meta-analyses using data from prospective cohort studies

250 Meta-analyses using random effects models were used to a

251 We also conducted meta-analyses using the genome-wide association study re

252 he heterogeneity of papers included in these meta-analyses using the I(2) statistic and evaluated pub

253 ollect data in large quantity and to conduct meta-analyses using uniformed protocols.

254 led trials (RCT), observational studies, and meta-analyses vary regarding the effectiveness of prolon

255 rchical approach for individual patient data meta-analyses was applied using a piecewise exponential

256 The quality of the methods of the meta-analyses was generally high (mean score, 9 of a max

257 Meta-analyses were based on overall 97 patients, 45 pati

258 Separate meta-analyses were carried out with the use of random-ef

259 t to individual patient data were performed; meta-analyses were conducted by pooling the study-specif

260 Activation likelihood estimation meta-analyses were conducted on peak voxel coordinates.

261 Meta-analyses were conducted to calculate pooled estimat

262 Random-effects meta-analyses were conducted to pool surgical harms.

263 Meta-analyses were conducted using random-effects models

264 synthesis was performed for all studies, and meta-analyses were conducted where possible.

265 Meta-analyses were conducted with random effect models,

266 milar studies were available, random-effects meta-analyses were conducted.

267 Country-specific random-effects meta-analyses were conducted.

268 Random-effects meta-analyses were conducted.

269 clinical cardiovascular disease end points; meta-analyses were considered secondarily.

270 Random-effects meta-analyses were done to investigate between-study het

271 clinical trials and 7 systematic reviews and meta-analyses were included in this review.

272 Meta-analyses were performed and multiple testing correc

273 Random-effects meta-analyses were performed comparing baseline versus m

274 onfidence interval (CI) were calculated; and meta-analyses were performed for defect fill, probing de

275 Main meta-analyses were performed on 246 variants in 138 diff

276 Meta-analyses were performed that compared MR imaging st

277 ndom-effects, standard pairwise, and network meta-analyses were performed to synthesize data.

278 Meta-analyses were performed using random effect models

279 Using Seed-based d Mapping software, meta-analyses were performed using random-effect nonpara

280 ool was used to assess selected studies, and meta-analyses were performed using statistical software.

281 Meta-analyses were performed using the Hartung-Knapp-Sid

282 r meta-analyses (which we assessed only when meta-analyses were reported), (5) presented conclusions

283 Random-effects meta-analyses were undertaken to evaluate mean differenc

284 mary receiver operating characteristic model meta-analyses were used to analyze the data.

285 in conventional and individual-patient-data meta-analyses were within 1% of each other.

286 acts, full-text articles, and study quality; meta-analyses when at least 3 similar studies were avail

287 ic treatment of Shigella and dysentery), and meta-analyses where appropriate, of studies in resource-

288 ulated pooled estimates using random effects meta-analyses where appropriate.

289 ed studies, (4) used appropriate methods for meta-analyses (which we assessed only when meta-analyses

290 We identified seven reviews and meta-analyses, which had substantial clinical heterogene

291 matic review and eight were eligible for the meta-analyses, which included 6071 pregnant women, 292 o

292 We analysed data by pairwise meta-analyses with a random-effects model and by network

293 We did the meta-analyses with a random-effects model to calculate s

294 ividuals and performed further transancestry meta-analyses with data from the Psychiatry Genomics Con

295 Random-effects meta-analyses with subgroup and meta-regression analysis

296 Random-effects meta-analyses with summarized dose-response data were pe

297 ata and performed reciprocal replication and meta-analyses with UK Biobank.

298 thesized that studying subsets of very large meta-analyses would allow for systematic identification

299 The case-control meta-analyses yielded 19 genes that were nominally assoc

300 Meta-analyses yielded lung cancer incidence >/= 10 years