Higher education provision is a critical enabler of local, regional, and national social and economic development. Benefits of participation are well understood, but less is known about the relationship between the geographic location of students (relative to higher education institutions), their study choices, and subsequent outcomes. This scoping review explored existing evidence about the impact of geographical location (place) on course choices, completion rates, and achievement. Findings suggest that greater distance of students from institutions negatively impacts achievement and program/course completions. Distance to study institutions may also influence study choices, including level and field of study. Higher education providers must consider how best to spread resources regionally and better enable access for those from regional, remote, and/or rural backgrounds. Policymakers should consider location as a key factor in improving access and addressing inequalities in higher education.

Background: Antiplatelet medications such as aspirin and clopidogrel are used following thrombotic stroke or transient ischemic attack (TIA) to prevent a recurrent stroke. However, the antiplatelet treatments fail frequently, and patients experience recurrent stroke. One approach to lower the rates of recurrence may be the individualized antiplatelet therapies (antiplatelet therapy modification (ATM)) based on the results of platelet function analysis (PFA). This review was undertaken to gather and analyze the evidence about the effectiveness of such approaches. Methods: We searched Medline, CINAHL, Embase, Web of Science, and Cochrane databases up to 7 January 2020. Results: Two observational studies involving 1136 patients were included. The overall effects of PFA-based ATM on recurrent strokes (odds ratio (OR) 1.05; 95% confidence interval (CI) 0.69 to 1.58), any bleeding risk (OR 1.39; 95% CI 0.92 to 2.10) or death hazard from any cause (OR 1.19; 95% CI 0.62 to 2.29) were not significantly different from the standard antiplatelet therapy without ATM. Conclusions: The two studies showed opposite effects of PFA-guided ATM on the recurrent strokes in aspirin non-responders, leading to an insignificant difference in the subgroup meta-analysis (OR 1.59; 95% CI 0.07 to 33.77), while the rates of any bleeding events (OR 1.04; 95% CI 0.49 to 2.17) or death from any cause (OR 1.17; 95% CI 0.41 to 3.35) were not significantly different between aspirin non-responders with ATM and those without ATM. There is a need for large, randomized controlled trials which account for potential confounders such as ischemic stroke subtypes, technical variations in the testing protocols, patient adherence to therapy and pharmacogenetic differences.

Background: The purpose of this study was to evaluate the discriminatory capability of the Khorana, PROTECHT, CONKO, and COMPASS-CAT scores in ambulatory patients with lung cancer. Methods: This retrospective cohort study included 591 patients with newly diagnosed lung cancer. A symptomatic or incidental VTE occurred in 108 patients. Results: The Khorana score at a 2-point threshold had a discriminatory capability with an odds ratio (OR) of 1.80 and an AUC of 0.57 for 6 months, and an OR of 1.51 and an AUC of 0.55 for 12 months. The CONKO score at a 2-point threshold had a stronger discriminatory capability for both 6 months and 12 months with ORs of 3.00 and 2.13, and AUCs of 0.63 and 0.59, respectively. Additionally, higher white blood cell counts, higher neutrophil counts, hypoalbuminaemia, and not undergoing lung surgery were related to VTE occurrence (p < 0.05). Conclusions: The Khorana score with the 2-point threshold was validated in ambulatory patients with lung cancer, with the results indicating a decline in its discriminatory capability over time (at 12 months vs. 6 months from diagnosis). The CONKO score at the original 2-point threshold showed a stronger discriminatory capability but further validation with a larger sample size is recommended. The identified predictors should be further investigated in future research.

The incidence of venous thromboembolism (VTE) in patients with lung cancer is relatively high, and risk stratification models are vital for the targeted application of thromboprophylaxis. We aimed to review VTE risk prediction models that have been developed in patients with lung cancer and evaluated their performance. Twenty-four eligible studies involving 123,493 patients were included. The pooled incidence of VTE within 12 months was 11 % (95 % CI 8 %-14 %). With the identified four VTE risk assessment tools, meta-analyses did not show a significant discriminatory capability of stratifying VTE risk for Khorana, PROTECHT and CONKO scores. The pooled sensitivity and specificity of the Khorana score were 24 % (95 % CI 11 %-44 %) and 84 % (95 % CI 73 %-91 %) at the 3-point cut-off, and 43 % (95 % CI 35 %-52 %) and 61 % (95 % CI 52 %-69 %) at the 2-point cut-off. However, a COMPASS-CAT score of ≥ 7 points indicated a significantly high VTE risk, with a RR of 4.68 (95 % CI 1.05-20.80). The Khorana score lacked discriminatory capability in identifying patients with lung cancer at high VTE risk, regardless of the cut-off value. The COMPASS-CAT score had better performance, but further validation is needed. The results indicate the need for robust VTE risk assessment tools specifically designed and validated for lung cancer patients. Future research should include relevant biomarkers as important predictors and consider the combined use of risk tools. PROSPERO registration number: CRD42021245907.

Venous thromboembolism (VTE) is a significant cause of mortality in patients with lung cancer. Despite the availability of a wide range of anticoagulants to help prevent thrombosis, thromboprophylaxis in ambulatory patients is a challenge due to its associated risk of haemorrhage. As a result, anticoagulation is only recommended in patients with a relatively high risk of VTE. Efforts have been made to develop predictive models for VTE risk assessment in cancer patients, but the availability of a reliable predictive model for ambulate patients with lung cancer is unclear. We have analysed the latest information on this topic, with a focus on the lung cancer-related risk factors for VTE, and risk prediction models developed and validated in this group of patients. The existing risk models, such as the Khorana score, the PROTECHT score and the CONKO score, have shown poor performance in external validations, failing to identify many high-risk individuals. Some of the newly developed and updated models may be promising, but their further validation is needed.