“…[Figure: see text] [Figure: see text] Desirability of outcome ranking distribution for the standard of care and alternative beta-lactam treatment groups; SOC = standard of care [Figure: see text] Forest plot of desirability of outcome ranking probabilities by overall treatment group and individual ranking components; CI = confidence interval, DOOR = desirability of outcome ranking, SOC = standard of care CONCLUSION: The overall outcome of patients receiving alternative beta-lactam antibiotics was similar to those receiving SOC antibiotics in this study. …”
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“…Discriminatory ability for mortality was limited and comparable for NLR, neutrophil and lymphocyte count, producing receiver operating characteristic curves with an area under the curve of 0.58 (0.55-0.62), 0.60 (0.55-0.62) and 0.60 (0.57-0.64). [Figure: see text] Forest plot depicting adjusted odds ratios and 95% confidence intervals for 90-day mortality and 60-day readmission [Figure: see text] Cumulative incidence curves for 60-days readmission and mortality divided by quartiles of blood neutrophil to lymphocyte ratio [Figure: see text] Kaplan-Meier curve of the survival probability divided by quartiles of blood neutrophil to lymphocyte ratio CONCLUSION: Blood neutrophil-lymphocyte ratio was associated with 90-day all-cause mortality and 60-day readmission in patients with gram negative bacteremia. …”
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“…In the Cox regression analysis after adjustment, baseline SBP was significant for the risk of primary endpoint [hazard ratio (HR) 1.22, 95% confidence interval (CI) 1.03–1.44, P = 0.02] and renal events (HR 1.54, 95% CI 1.22–1.95, P < 0.001), and DBP CV was significant for the risk of primary endpoint (HR 1.03, 95% CI 1.01–1.06, P = 0.02) and CVD events (HR 1.04, 95% CI 1.02–1.07, P < 0.01). The result of the forest plot depicted that baseline SBP had a linear association with the risk of CVD and renal events (P = 0.04 and 0.001, respectively) and DBP CV with CVD events (P = 0.02). …”
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“…This study reveals that the rural populations in Arunachal Pradesh have a rich knowledge of forest-based natural resources and consumption of wild edible plants is still an integral part of their socio-cultural life. …”
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“…RESULTS: The species Aedes aegypti was detected in only six sites in native forests and natural reserves. In contrast, the species Aedes albopictus was found in 13 out of the 15 sites sampled. …”
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“…All data were analyzed by I(2)-test, and the results of statistical analysis were displayed in forest plots. Possible publication bias was tested by funnel plots. …”
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“…Patients were matched 1-to-1 on demographic and pre-initiation clinical characteristics using propensity scores from a random forest model. The primary efficacy outcome was COPD exacerbation rate, and secondary efficacy outcomes included exacerbation rates by event type and healthcare resource utilization. …”
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“…No positive larval habitats occurred in shrub land or forest. RESULTS: A total of 46,846 larvae were sampled, of which 44.1 % (20,907) were from abandoned goldmines, 30.9 % (14,469) from drainage ditches, 22.4 % (10,499) from swamps and 2.1 % (971) from hoof prints. …”
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“…Further, variable selection using random forest backward elimination revealed six serum biosignatures including IL-12, IL-4, IL-6, IL-10, IL-8 and TNF-β as optimal for classifying the LNTB status of an individual. …”
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“…Knowledge of local risk factors, such as staying in the forest (39.7 vs 30.7 %; p = 0.17) or the farm (7.1 vs 5.1 %; p = 0.40) was low in both groups. …”
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“…Outcome-level evidence quality was assessed using GRADE. Forest plots were generated, random effects meta-analysis conducted, and heterogeneity assessed using the I(2) statistic. …”
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“…We separately calculated the pooled sensitivity, specificity, and proportion of indeterminate events and then summarized the results using forest plots to estimate the accuracy of the QFT-IT and T-SPOT assays. …”
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“…DECLARATION OF INTEREST: D.A. has served on scientific advisory boards for Novartis, Eli Lilly, Janssen, Prana and Pfizer, and as Editor-in-Chief for International Psychogeriatrics; received speaker honoraria from Pfizer and Lundbeck, and research support from Eli Lilly, GlaxoSmithKline, Forest Laboratories, Novartis, and CSIRO. C.L.M. has received consulting fees from Eli Lilly and Prana Biotechnology, and has stock ownership in Prana Biotechnology. …”
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“…In both surveys, all infected women stated they had slept under a bed net the night before the survey, and 86 % went to the forest for food-finding 1 week before the survey in median. …”
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“…Comparably, in receiver operating characteristic analysis the predictive capacity of the CC-ARF score (AUC 0.628) was improved by adding GDF-15 (AUC 0.684) but this score also had lower predictability than the logistic regression model. In random forest analyses the predictive capacity of GDF-15 was especially pronounced in patients with normal plasma creatinine. …”
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“…Review Manager (RevMan) version 5.3 software was used. Forest plots were constructed to graphically show sensitivity and specificity for all included studies, separating patients treated or not with hypothermia. …”
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“…To better understand the endophyte–saprotroph continuum we compared fungal communities and functional traits of focal strains isolated from living leaves to those isolated from leaves after senescence and decomposition, with a focus on foliage of woody plants in five biogeographic provinces ranging from tundra to subtropical scrub forest. METHODS: We cultured fungi from the interior of surface-sterilized leaves that were living at the time of sampling (i.e., endophytes), leaves that were dead and were retained in plant canopies (dead leaf fungi, DLF), and fallen leaves (leaf litter fungi, LLF) from 3–4 species of woody plants in each of five sites in North America. …”
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“…Effect sizes (ES) and Confidence intervals (CI) of study outcomes were depicted in a forest plot. I(2) was calculated to assess heterogeneity if necessary and additional random effects subgroup meta-regression was conducted if substantial heterogeneity was present. …”
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“…[Image: see text] Abbreviations Used: MTT: 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide; TLC: Thin layer chromatography; VLC: Vacuum liquid chromatography; PTLC: Preparative thin layer chromatographic; NMR: Nuclear magnetic resonance; FBS: Fetal bovine serum; DMEM: Dulbecco's modified Eagle's medium; PBS: Phosphate buffer saline; FHI: Forest Herbarium Ibadan; DMSO: Dimethylsuphoxide; SEM: Standard error of mean…”
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“…METHODS: We used 2 classification methods: (1) extracting from discharge notes some features (terms, n-gram phrases, and SNOMED CT categories) that we used to train a set of supervised machine learning models (support vector machine, random forests, and gradient boosting machine), and (2) building a feature matrix, by a pretrained word embedding model, that we used to train a CNN. …”
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