| 396) The net effect of Cannabis use on cancer risk is not known. |
| 397) Colorectal cancer (CRC) risk is predominantly driven by environmen |
| 398) d anxiety to outline how a range of these risk markers might be targeted through adv |
| 399) olic outcomes were predominantly based on risk markers. |
| 400) in its current state to adequately inform risk mitigation and response planning. |
| 401) Despite risk mitigation strategies, adverse health |
| 402) Early recognition of the high-risk population followed by timely and eff |
| 403) military veterans are an exceedingly high-risk population for both chronic pain and |
| 404) The benefit/risk ratio favors anticoagulation in most |
| 405) ction-related mortality showed a relative risk ratio (RR) of 0.55, 95% CI (0.21 to 1 |
| 406) ndards to complete individualized suicide risk reduction plans. |
| 407) The implementation of risk reduction strategies was suboptimal. |
| 408) ependently or sequentially in 19 CPG fall risk screening algorithms. |
| 409) lines (CPGs) and recommendations for fall risk screening and assessment in older adu |
| 410) on-assisted treatments, and engagement in risk-mitigation strategies. |
| 411) an affect treatment options and potential risk-reduction strategies for patient rela |
| 412) ions but should not be used to assess the risk that specific pathogens of concern (e |
| 413) coupler size will not unduly increase the risk that this friction fit might fail. |
| 414) BTQ+ aging in Canada were identified: (1) risk, (2) HIV, (3) stigma, and discriminat |
| 415) experimental evidence of excess relative risk (ERR) quantification of low/very low |
| 416) Organ-at-risk (OAR) delineation is a key step for c |
| 417) delineation of the prostate and organs-at-risk (OARs) is fundamental to prostate rad |
| 418) showed a negative association with cancer risk (RR=0.83, p<0.05), with a large ef |
| 419) s the remaining data showed a decrease in risk (RR=0.87, p<0.025, N=41). |
| 420) lems (Youth Self-Report), eating disorder risk (SCOFF) and well-being variables (KID |
| 421) ranslated to a 2.22-fold higher mortality risk (adjusted hazard ratio [aHR]: 2.15 2. |
| 422) uced by 69%, 48%, and 85% from a baseline risk (no respirators or face masks used) o |
| 423) cant trend to an association with reduced risk (relative risk [RR]=0.90, p>0.06, |
| 424) DQB1 significantly associated with asthma risk (rs1049213, meta-analysis p = 1.3 |
| 425) s were less likely to be tested [Relative Risk(RR) = 1.121, p<0.0001], and males |
| 426) ing development of Quantitative Microbial Risk Assessments (QMRA). |
| 427) e of POCUS in diagnosing, monitoring, and risk-stratifying COVID-19 patients. |
| 428) using nationwide data from the Behavioral Risk Factor Surveillance System (BRFSS) fr |
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