Prognosis after cerebral venous thrombosis: Mortality during initial admission and at 30 days and one year after discharge in a large Canadian population-based cohort.

BACKGROUND: Prognosis following cerebral venous thrombosis (CVT) is more favorable than other stroke types, but longer-term literature is limited, and trends over time are under-explored. OBJECTIVE: Using administrative data, we examined factors associated with mortality in the inpatient setting, at 30 days and at one year following hospital discharge among a large consecutive cohort of Canadian patients with CVT. DESIGN/METHODS: CVT patients from British Columbia (BC), Canada from 2000 to 2017 were identified using ICD diagnosis codes from the BC subset of the Canadian Institute for Health Information's Discharge Abstract Database. Logistic regression was used to investigate factors associated with inpatient mortality and survival analysis with Cox regression was used to explore factors associated with mortality at 30 days and one year. RESULTS: Of 554 incident CVT patients identified, 508 (92 %) survived their index admission. Older age (OR 1.04, 95 % CI 1.03-1.06, p < 0.01) and the presence of seizures (OR 2.31, 95 % CI 1.08-4.94, p = 0.03) or intracranial bleeding (OR 2.28, 95 % CI 1.08-4.85, p = 0.03) were associated with increased odds of inpatient mortality. Mortality after hospital discharge was 3.0 % at 30 days and 9.4 % at one year. Older age (HR 1.05, 95 % CI 1.02-1.08, p < 0.01 at 30 days; HR 1.05, 95 % CI 1.04-1.07, p < 0.01 at 1 year) and having recent or active malignancy (HR 4.17, 95 % CI 1.51-11.52, p < 0.01 at 30 days; HR 4.60, 95 % CI 2.60-8.11, p < 0.01 at 1 year) were significantly associated with higher risks of mortality at 30 days and one year after discharge. There were decreases in inpatient mortality over the study period, but this was offset by higher mortality within 30 days after discharge in the later study epochs. CONCLUSIONS: Among patients discharged with a diagnosis of CVT, one-year mortality was high at 9.4 %. Older age and a history of cancer were associated with higher mortality after discharge.

Successful incorporation of single reviewer assessments during systematic review screening: development and validation of sensitivity and work-saved of an algorithm that considers exclusion criteria and count.

BACKGROUND: Accepted systematic review (SR) methodology requires citation screening by two reviewers to maximise retrieval of eligible studies. We hypothesized that records could be excluded by a single reviewer without loss of sensitivity in two conditions; the record was ineligible for multiple reasons, or the record was ineligible for one or more specific reasons that could be reliably assessed. METHODS: Twenty-four SRs performed at CHEO, a pediatric health care and research centre in Ottawa, Canada, were divided into derivation and validation sets. Exclusion criteria during abstract screening were sorted into 11 specific categories, with loss in sensitivity determined by individual category and by number of exclusion criteria endorsed. Five single reviewer algorithms that combined individual categories and multiple exclusion criteria were then tested on the derivation and validation sets, with success defined a priori as less than 5% loss of sensitivity. RESULTS: The 24 SRs included 930 eligible and 27390 ineligible citations. The reviews were mostly focused on pediatrics (70.8%, N=17/24), but covered various specialties. Using a single reviewer to exclude any citation led to an average loss of sensitivity of 8.6% (95%CI, 6.0-12.1%). Excluding citations with ≥2 exclusion criteria led to 1.2% average loss of sensitivity (95%CI, 0.5-3.1%). Five specific exclusion criteria performed with perfect sensitivity: conference abstract, ineligible age group, case report/series, not human research, and review article. In the derivation set, the five algorithms achieved a loss of sensitivity ranging from 0.0 to 1.9% and work-saved ranging from 14.8 to 39.1%. In the validation set, the loss of sensitivity for all 5 algorithms remained below 2.6%, with work-saved between 10.5% and 48.2%. CONCLUSIONS: Findings suggest that targeted application of single-reviewer screening, considering both type and number of exclusion criteria, could retain sensitivity and significantly decrease workload. Further research is required to investigate the potential for combining this approach with crowdsourcing or machine learning methodologies.