Using Comprehensive Geriatric Assessment in Identifying Care Goals and Referral Services in a Frailty Intervention Clinic.

The proportion of older adults and frail adults in Canada is expected to rise significantly in upcoming years. Currently, a considerable number of older adults do not actively participate in developing their own care plans; prior research has indicated several benefits of patient engagement in this process. Thus, we conducted a mixed methods study that examined the prevalence of rehabilitation goals and identified these for 305 community dwelling older adults referred to a frailty intervention clinic utilizing Comprehensive Geriatric Assessment (CGA) between 2014 and 2018. Top patient concerns included mobility (84%), services, systems, and policies (51%), sensory functions and pain (50%), and self-care or domestic life (47%). The most common referrals or recommendations for patients included further follow-up with a physician or specialist (36%), referral to an onsite falls prevention clinic (31%), and medication modifications (31%). Based upon these findings, we recommend greater utilization of CGA within a team-based approach to improve patient care by allowing for greater collaboration and shared decision-making by health-care providers. Moreover, CGA can be an effective tool to meet the complex and unique health-care needs of frail patients while incorporating patient goals. This is vitally important considering the predicted growth in the population of frail and/or older patients, as well as the current challenges and shortfalls in meeting the health-care needs of this population.

Association between duration of smoking abstinence before non-small-cell lung cancer diagnosis and survival: a retrospective, pooled analysis of cohort studies.

BACKGROUND: The association between duration of smoking abstinence before non-small-cell lung cancer (NSCLC) diagnosis and subsequent survival can influence public health messaging delivered in lung-cancer screening. We aimed to assess whether the duration of smoking abstinence before diagnosis of NSCLC is associated with improved survival. METHODS: In this retrospective, pooled analysis of cohort studies, we used 26 cohorts participating in Clinical Outcomes Studies of the International Lung Cancer Consortium (COS-ILCCO) at 23 hospitals. 16 (62%) were from North America, six (23%) were from Europe, three (12%) were from Asia, and one (4%) was from South America. Patients enrolled were diagnosed between June 1, 1983, and Dec 31, 2019. Eligible patients had smoking data before NSCLC diagnosis, epidemiological data at diagnosis (obtained largely from patient questionnaires), and clinical information (retrieved from medical records). Kaplan-Meier curves and multivariable Cox models (ie, adjusted hazard ratios [aHRs]) were generated with individual, harmonised patient data from the consortium database. We estimated overall survival for all causes, measured in years from diagnosis date until the date of the last follow-up or death due to any cause and NSCLC-specific survival. FINDINGS: Of 42 087 patients with NSCLC in the COS-ILCCO database, 21 893 (52·0%) of whom were male and 20 194 (48·0%) of whom were female, we excluded 4474 (10·6%) with missing data. Compared with current smokers (15 036 [40·0%] of 37 613), patients with 1-3 years of smoking abstinence before NSCLC diagnosis (2890 [7·7%]) had an overall survival aHR of 0·92 (95% CI 0·87-0·97), patients with 3-5 years of smoking abstinence (1114 [3·0%]) had an overall survival aHR of 0·90 (0·83-0·97), and patients with more than 5 years of smoking abstinence (10 841 [28·8%]) had an overall survival aHR of 0·90 (0·87-0·93). Improved NSCLC-specific survival was observed in 4301 (44%) of 9727 patients who had quit cigarette smoking and was significant at abstinence durations of more than 5 years (aHR 0·87, 95% CI 0·81-0·93). Results were consistent across age, sex, histology, and disease-stage distributions. INTERPRETATION: In this large, pooled analysis of cohort studies across Asia, Europe, North America, and South America, overall survival was improved in patients with NSCLC whose duration of smoking abstinence before diagnosis was as short as 1 year. These findings suggest that quitting smoking can improve overall survival, even if NSCLC is diagnosed at a later lung-cancer screening visit. These findings also support the implementation of public health smoking cessation strategies at any time. FUNDING: The Alan B Brown Chair, The Posluns Family Fund, The Lusi Wong Fund, and the Princess Margaret Cancer Foundation.

Incidence of kidney stones in pregnancy and associations with adverse obstetrical outcomes: a systematic review and meta-analysis of 4.7 million pregnancies.

BACKGROUND: Renal stones are a common cause of non-obstetrical abdominal pain in pregnant women. Though the management of renal stones in pregnancy is challenging, it remains unclear how the incidence of kidney stones may affect the course of pregnancy and delivery. OBJECTIVE: To determine the incidence of renal stones in pregnancy and its impact on adverse obstetrical outcomes. DATA SOURCES: We conducted a systematic literature search of three databases: Ovid MEDLINE, Ovid EMBASE, and EBSCO CINAHL Plus. After the selection of articles, an additional hand-search of their citations was completed to maximize sensitivity. Databases were examined from the last four decades (19 March 1970) up to the search date (19 March 2020). STUDY ELIGIBILITY CRITERIA: Articles were excluded if they were not relevant to kidney stones or did not report outcomes related to pregnancy. Case reports, animal studies, and cadaveric studies were excluded. Conference abstracts, gray literature, and unpublished data were not eligible. STUDY APPRAISAL AND SYNTHESIS METHODS: All screening, extraction, and synthesis were completed in duplicate with two independent reviewers. All outcomes reported in the included studies were systematically evaluated to determine suitability for meta-analysis. Random-effects models and sensitivity analyses were used to account for interstudy variation. Renal stone incidence rates were pooled to generate summary proportions. Risk of bias assessment was completed using the Risk of Bias Assessment tool for Non-randomized Studies. RESULTS: Twenty-one studies were included through systematic review and approximately 4.7 million pregnancies across nine studies were included for meta-analysis. There are three major findings of this review regarding renal stone incidence in pregnancy and maternal, child, and birth-related outcomes associated with renal stones. First, we found pooled incidence of renal stones was 0.49%, or one case for every 204 pregnancies. Second, renal stones during pregnancy were significantly associated with the development of preeclampsia and urinary tract infection, as well as increased likelihood of low birth weight, preterm labor, and C-section deliveries. However, renal stones were not significantly associated with premature rupture of membranes or infant mortality. Third, there were limited obstetrical complications reported with either medical or surgical therapies although comparative outcomes were not provided in the majority of studies, precluding formal meta-analysis. CONCLUSIONS: Although renal stones in pregnancy are relatively rare, there may be an associated risk of serious adverse obstetrical outcomes. However, further research is required to understand whether these obstetrical outcomes are causal or due to other confounders. Interdisciplinary care and pregnancy-specific counseling should be advised for pregnant women with kidney stones.

Stratification and management of patients ineligible for lung cancer screening.

This study identifies participants ineligible for lung cancer screening with the greatest likelihood of future eligibility. Lung cancer risk in participants enrolled in longitudinal lung screening was assessed using the Prostate, Lung, Colorectal and Ovarian lung cancer risk calculator (PLCOm2012) at two timepoints: baseline (T1) and follow-up (T2). Separate analyses were performed on four PLCOm2012 eligibility thresholds (3.25%, 2.00%, 1.50%, and 1.00%); only participants with a T1 risk less than the threshold were included in that analysis. Cox-models identified T1 risk factors associated with screen-eligibility at T2. Three models, applying differing assumptions of participant behavior, predicted future eligibility and were benchmarked against the observed cohort. Nine hundred and fifty-six participants had a T1 risk <3.25%; at 2.00% n= 755; at 1.50% n= 652; at 1.00% n= 484. Lung cancer risk increased over time in most screen-ineligible participants. However, risk increased much faster in participants who became screen-eligible at T2 compared to those who remained screen-ineligible (median per-year increase of 0.35% versus 0.02%, when using a 3.25% threshold). Participants smoking for >30 years, current smokers, less educated participants, and those with chronic obstructive pulmonary disease (COPD) at T1 were significantly more likely to become screen-eligible. New diagnoses of COPD and/or non-lung cancers between T1 and T2 precipitated eligibility in a subset of participants. The prediction model that assumed health behaviors observed at T1 continued to T2 reasonably predicted changes in lung cancer risk. This prediction model and the identified baseline risk factors can identify screen-ineligible participants who should be closely followed for future eligibility.

Systemic Inflammatory Markers of Survival in Epidermal Growth Factor-Mutated Non-Small-Cell Lung Cancer: Single-Institution Analysis, Systematic Review, and Meta-analysis.

BACKGROUND: Systemic inflammatory response (SIR) may influence prognosis in epidermal growth factor receptor (EGFR)-mutated (m) non-small-cell lung cancer (NSCLC). Pretreatment SIR markers (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio [LMR], lactate dehydrogenase [LDH], and lung immune prognostic index [LIPI]) were assessed as prognostic factors in NSCLC survival. PATIENTS AND METHODS: Retrospective survival analysis (overall survival [OS] and progression-free survival [PFS]) of EGFR-mutated NSCLC patients at Princess Margaret Cancer Centre were performed separately for early (I-IIIa) and late (IIIb-IV) stage disease for individual SIR variables, dichotomized by optimal cutoff points by Kaplan-Meier survival analysis and multivariable Cox proportional hazard modeling. A systematic review and meta-analysis of known SIR studies in patients with late-stage EGFR-mutated were also performed. RESULTS: From 2012 to 2019, in 530 patients, significant adjusted hazard ratios (aHR) for OS comparing high versus low NLR were 2.12 for early stage and 1.79 for late stage disease. Additionally, late stage cohorts had significant associations, as follows: high versus low derived NLR, aHR = 1.53; LMR, aHR = 0.62; LDH, aHR = 2.04; and LIPI, aHR = 2.04. Similar patterns were found for PFS in early stage NLR (aHR = 1.96) and late stage NLR (aHR = 1.46), while for PFS, only late stage derived NLR (aHR = 1.34), LDH (aHR = 1.75), and LIPI (aHR = 1.66) were significant. A meta-analysis confirmed that NLR, LMR, LDH, and LIPI were all significantly associated with OS and PFS in the late stage. CONCLUSION: This primary study and meta-analysis demonstrated that LMR and LDH were significantly associated with late stage EGFR-mutated NSCLC outcomes, and the LIPI scoring system was prognostic. NLR remained an independent prognostic factor across all stages and could represent an early marker of immuno-oncology interactions.

Predictors of participant nonadherence in lung cancer screening programs: a systematic review and meta-analysis.

The low nonadherence rates reported by large low-dose computed tomography (LDCT) lung cancer screening trials were not necessarily replicated outside of trial conditions. This systematic review and meta-analysis identified predictors of participant nonadherence to returning for annual LDCT screening. The systematic review protocol was registered at PROSPERO (CRD42019118347). MEDLINE, EMBASE, CINAHL, AgeLine, grey literature sources, and reference lists of included studies were searched until March 1st, 2020. Primary research articles were eligible for inclusion if they screened current or former smokers using LDCT as their primary screening modality and reported on participant demographics or programmatic interventions that predicted nonadherence. Risk of bias assessment was performed at both study and outcome levels. The primary outcome was predictors of nonadherence. The secondary outcomes were relative risks (RR) of second round nonadherence based on identified predictors, which were calculated using random-effects meta-analyses. Across 13 included studies (total n = 15,790; range: 157-3642), the overall rate of nonadherence was 28% (95% CI: 20-37%). Studies identified greater nonadherence in participants younger than 60 or older than 74, with longer travel distances to screening centers, and having a low risk perception of lung cancer. Meta-analyses identified higher nonadherence in community-based compared to academic-based programs, but this did not reach significance (32% versus 27%; p = 0.32). Current smokers were more likely to be nonadherent compared to former smokers (RR 1.23, 95% CI: 1.09-1.40; p < 0.01) while white participants were less likely nonadherent compared to non-white participants (RR 0.69, 95% CI: 0.60-0.81; p < 0.0001). No differences existed between male and female participants (RR 0.99, 95% CI: 0.85-1.15; p = 0.85). Programmatic interventions, including dedicated program coordinators, reminder calls/letters, and mobile LDCT scanners reduced nonadherence in lung cancer screening programs. These interventions should be targeted/tailored toward the subpopulations with the highest nonadherence rates.

Age differences in patterns and confidence of using internet and social media for cancer-care among cancer survivors.

OBJECTIVES: The internet and social media provide information and support to cancer survivors, and adolescent and young adults (AYA, age < 40 years), adults, and older (age 65+ years) cancer survivors may have different needs. We evaluated the impact of age on cancer-related internet and social media use and confidence in evaluating online information for cancer-care decision making. MATERIALS AND METHODS: Cancer survivors completed a convenience cross-sectional survey evaluating their cancer-related internet and social media use and their confidence in using these resources for decision making. Multivariable regression models evaluated the impact of age on usage patterns and confidence. RESULTS: Among 371 cancer survivors, 58 were older adults and 138 were AYA; 74% used the internet and 39% social media for cancer care; 48% felt confident in using online information for cancer-care decisions. Compared to adult survivors, there was a non-significant trend for older survivors to be less likely to use the internet for cancer-care information(aOR = 0.49, 95% CI[0.23-1.03], P = .06), while AYA were more likely to use social media for cancer-care (aOR = 1.79[1.08-2.99], P = .03). Although confidence at using online information for cancer-care decision making did not differ between age groups, increasing age had a non-significant trend towards reduced confidence (aOR = 0.99 per year [0.97-1.00], P = .09). Most commonly researched and desired online information were causes/risk factors/symptoms, treatment options, and prognosis/outcomes. CONCLUSIONS: Age may influence the use of internet and social media for cancer-care, and older cancer survivors may be less confident at evaluating online information for cancer-care decision making. Future research should explore other strategies at meeting the informational needs of older cancer survivors.

Health-related social media use and preferences of adolescent and young adult cancer patients for virtual programming.

PURPOSE: Adolescents and young adults (AYA) with cancer are increasingly using the internet and social media (SM) for cancer-related information. AYA face specific challenges and thus require tailored resources that meet their needs. We describe the internet and SM preferences of AYA related to their cancer information seeking behaviors and their preferences for a future resource compared to middle-aged adults (MAA). METHODS: Cancer patients completed a cross-sectional survey related to their internet and SM usage, cancer information, and preferences for future resources. Chi-square tests were used to compare AYA and MAA. RESULTS: The mean (±SD) age in the AYA group was 30±6.1 years (n = 129); in MAA 55±6.7 years (n = 157). In general, AYA preferred internet sites over SM platforms for cancer-related information and prefer a website platform over a SM platform for a new resource. Few AYA were aware of hospital-based AYA-specific resources. MAA were less likely to use SM compared with AYA (13% vs 4%, p = 0.01); however, websites and SM platforms that were used were similar between the 2 groups. Participants endorsed having already researched certain topics - yet, these were also those desired in a new resource. Compared to MAA, AYA sought more information on diet/nutrition, physical activity, exercise/fitness, fertility, sexual health, and body image (all p values < 0.05). CONCLUSION: AYA and MAA use similar resources on the internet and SM, but AYA sought information related to specific needs. Development of future resources should focus on an internet-based platform rather than a SM platform, coupled with promoting awareness of the resource.

Vaccine hesitancy and Web 2.0: Exploring how attitudes and beliefs about influenza vaccination are exchanged in online threaded user comments.

The growth of Web 2.0 has been particularly impactful in shaping information assessment in decision-making with regards to vaccination. The aim of the present study was to explore how attitudes and beliefs about influenza vaccination are exchanged in Web 2.0 through an analysis of user comment threads in response to related news reports on the Canadian Broadcasting Corporation national news website (average of 5.8 million unique visitors per month). User comments (n = 2042) were extracted using a Google Chrome data mining extension, from 33 articles reporting on the seasonal influenza vaccine between September 2015 and October 2016. User comments were analyzed using thematic discourse analysis to identify themes within the data, and also identify how information is exchanged, including identifying the rhetorical devices and tactics used. Mostly unrelated to article content, user comments were extremely polarized with only those with strong positions at either end of the vaccination spectrum (for or against) engaging actively in online debates. Observed exchanges, and the use of rhetorical devices and tactics employed by users are identified as furthering or reinforcing polarization. In addition to exchanging information, forums served as 'echo chambers' where individuals connect with likeminded users and collect additional information to reinforce pre-existing beliefs, rather than encouraging the enrichment of user knowledge. Our data lead us to question existing calls for public health engagement in such online forums, as doing so may actually reduce the intention to vaccinate among individuals against vaccination. Rather, we identify a greater need to observe online platforms to better understand the social mechanisms that may contribute to, or reinforce, attitudes and beliefs related to influenza vaccine refusal. Further research may also explore the effect that such dialogue has on the attitudes and beliefs of passively observing individuals who have yet to decide whether to receive the flu vaccine.

Outcomes of Long-term Interval Rescreening With Low-Dose Computed Tomography for Lung Cancer in Different Risk Cohorts.

INTRODUCTION: We hypothesize that the incidence of screen-detected lung cancer (LC), in participants with previously negative scans, will be highest in the cohort with the highest baseline risk score. METHODS: Individuals with negative baseline screening results from the Princess Margaret International Early Lung Cancer Action Program before 2009 underwent low-dose computed tomography rescreening from 2015 to 2018. Individuals were contacted in order of descending risk, as determined by the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial's PLCOM2012 6-year LC risk-prediction model, and then categorized into three risk cohorts according to their baseline risks. The incidence of LC in each risk cohort was determined and compared. Chi-square testing was used for categorical variables and one-way analysis of variance on ranks was used for continuous variables. RESULTS: Of the 1261 participants we attempted to re-contact, 359 participants returned for a rescreening scan (mean of 7.6 years between scans). Participants were divided into low (<2%), moderate (≥2% to <3.5%), and high baseline risk (≥3.5%) cohorts. On average, those in the high-risk cohort compared to the moderate- and low-risk cohorts were older (66 years versus 62 and 59 years) and had a greater smoking history (54 pack-years versus 47 and 29 pack-years). The incidence of cancer in the high-risk cohort was significantly higher than in the moderate-risk cohort (11% versus 1.7%, p = 0.002). CONCLUSIONS: There was a significantly higher incidence of LC in the high-risk cohort than in the moderate-risk cohort. The cut-point between the high- and moderate-risk was determined to be greater than or equal to 3.5% of the 6-year baseline risk.