scholarly journals People with cancer living in deprived areas of Wales are more likely to have another serious condition at diagnosis than those in the least deprived areas

Author(s):  
Dyfed Huws ◽  
Rebecca Thomas ◽  
Julie Howe ◽  
Adele Oddy ◽  
Tomos Smith ◽  
...  

BackgroundPeople diagnosed with cancer are living longer and whilst cancer survival is improving for many cancers, there is not the same parity for all social groups - older people and people living in more deprived areas often have more chronic health conditions. We examined the association between those other health conditions and cancer incidence, prevalence and survival for all Welsh patients, for the four most common cancers and all malignant cancer cases (excluding non-melanoma skin cancer). MethodsWe extracted data on all malignant cancer cases from the WCISU’s population-based cancer registry for diagnosis periods 1995-2015. Cases were linked to a Cluster Network and to Patient Episode Database for Wales hospital data for the preceding year to establish pre-existing health conditions. From this, a Charlson score was calculated for each case - this is a validated score to predict risk of death and disease burden. For incidence and prevalence, we calculated the proportion of patients with Charlson score 0, 1 and 2+, and proportions with each health condition examined. We calculated one-year net survival by Charlson score or condition. Where possible, analysis was by cancer type, age-band, area deprivation, rurality, sex and stage at diagnosis. ResultsOne in four people were already living with another serious condition. Patients diagnosed in more deprived areas of Wales were more likely to have an existing condition at diagnosis. Survival worsened as the severity or number of existing conditions increased. ConclusionPatients diagnosed with cancer in more deprived areas of Wales were more likely to be already living with another serious condition, showing a significant decrease in their projected survival at Charlson score 1 and 2+ compared to the least deprived areas. This work will enable acute, primary and community care, and other organisations to understand the overall burden of ill health in the cancer population in Wales.

2021 ◽  
Author(s):  
Juliana Fernandes ◽  
Beatriz Machado ◽  
Cassio Cardoso-Filho ◽  
Juliana Nativio ◽  
Cesar Cabello ◽  
...  

Abstract Background This study aims to assess breast cancer survival rates after one decade of mammography in a large urban area of Brazil. Methods It is a population-based retrospective cohort of women with breast cancer in Campinas, São Paulo, from 2010 to 2014. Age, vital status and stage were accessed through the cancer and mortality registry, and patients records. Statistics used Kaplan-Meier, log-rank and Cox's regression. Results Out of the 2,715 cases, 665 deaths (24.5%) were confirmed until early 2020. The mean age at diagnosis was 58.6 years. Women 50-69 years were 48.0%, and stage I the most frequent (25.0%). The overall mean survival was 8.4 years (8.2-8.5). The 5-year survival (5yOS) for overall, 40-49, 50-59, 60-69, 70-79 years was respectively 80.5%, 87.7%, 83.7%, 83.8% and 75.5%. The 5yOS for stages 0, I, II, III and IV was 95.2%, 92.6%, 89.4%, 71.1% and 47.1%. There was no significant difference in survival in stage I or II (p=0.058). Compared to women 50-59 years, death's risk was 2.3 times higher for women 70-79 years and 26% lower for women 40-49 years. Concerning stage I, the risk of death was 1.5, 4.1 and 8.6 times higher, and 34% lower, respectively, for stage II, III, IV and 0. Conclusions In Brazil, breast cancers are currently diagnosed in the early stages, although advanced cases persist. Survival rates may reflect improvements in screening, early detection and treatment. The results can reflect the current status of other regions or countries with similar health care conditions.


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mesnad Alyabsi ◽  
Fouad Sabatin ◽  
Majed Ramadan ◽  
Abdul Rahman Jazieh

Abstract Background Colorectal cancer (CRC) is the most diagnosed cancer among males and third among females in Saudi Arabia, with up to two-third diagnosed at advanced stage. The objective of our study was to estimate CRC survival and determine prognostic factors. Methods Ministry of National Guard- Health Affairs (MNG-HA) registry data was utilized to identify patients diagnosed with CRC between 2009 and 2017. Cases were followed until December 30th, 2017 to assess their one-, three-, and five-year CRC-specific survivals. Kaplan-Meier method and Cox proportional hazard models were used to assess survival from CRC. Results A total of 1012 CRC patients were diagnosed during 2009–2017. Nearly, one-fourth of the patients presented with rectal tumor, 42.89% with left colon and 33.41% of the cases were diagnosed at distant metastasis stage. The overall one-, three-, and five-year survival were 83, 65 and 52.0%, respectively. The five-year survival was 79.85% for localized stage, 63.25% for regional stage and 20.31% for distant metastasis. Multivariate analyses showed that age, diagnosis period, stage, nationality, basis of diagnosis, morphology and location of tumor were associated with survival. Conclusions Findings reveal poor survival compared to Surveillance, Epidemiology, and End Results (SEER) population. Diagnoses at late stage and no surgical and/or perioperative chemotherapy were associated with increased risk of death. Population-based screening in this population should be considered.


Thorax ◽  
2017 ◽  
Vol 73 (4) ◽  
pp. 339-349 ◽  
Author(s):  
Margreet Lüchtenborg ◽  
Eva J A Morris ◽  
Daniela Tataru ◽  
Victoria H Coupland ◽  
Andrew Smith ◽  
...  

IntroductionThe International Cancer Benchmarking Partnership (ICBP) identified significant international differences in lung cancer survival. Differing levels of comorbid disease across ICBP countries has been suggested as a potential explanation of this variation but, to date, no studies have quantified its impact. This study investigated whether comparable, robust comorbidity scores can be derived from the different routine population-based cancer data sets available in the ICBP jurisdictions and, if so, use them to quantify international variation in comorbidity and determine its influence on outcome.MethodsLinked population-based lung cancer registry and hospital discharge data sets were acquired from nine ICBP jurisdictions in Australia, Canada, Norway and the UK providing a study population of 233 981 individuals. For each person in this cohort Charlson, Elixhauser and inpatient bed day Comorbidity Scores were derived relating to the 4–36 months prior to their lung cancer diagnosis. The scores were then compared to assess their validity and feasibility of use in international survival comparisons.ResultsIt was feasible to generate the three comorbidity scores for each jurisdiction, which were found to have good content, face and concurrent validity. Predictive validity was limited and there was evidence that the reliability was questionable.ConclusionThe results presented here indicate that interjurisdictional comparability of recorded comorbidity was limited due to probable differences in coding and hospital admission practices in each area. Before the contribution of comorbidity on international differences in cancer survival can be investigated an internationally harmonised comorbidity index is required.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e19068-e19068
Author(s):  
Joseph M. Unger ◽  
Anna Moseley ◽  
Raymond U. Osarogiagbon ◽  
Gary C. Doolittle ◽  
Dawn L. Hershman

e19068 Background: Residents of rural and socioeconomically deprived areas have worse cancer outcomes and are less likely to participate in CTs. It is unknown whether these area-level attributes predict CT participation after accounting for individual sociodemographic variables. Methods: We combined data from two SWOG national survey studies. S0316, a multi-center prospective survey, was combined with data from a large web-based survey. Both studies examined CT treatment decision making from diagnosis in patients with common cancers. Zip codes of residences were classified as rural or urban using Rural-Urban Continuum Codes (urban, 1-3, vs. rural, 4-9) and a 3-level ordinal variable (urban, 1-3, vs. rural, 4-7, vs. very rural, 8-9). We identified socioeconomically deprived areas (SDAs) as those with an Area Deprivation Index (ADI) in the upper quartile. We also examined areas by ADI quartile. Multivariable logistic regression was used to evaluate the association of rural residency and area-level socioeconomic deprivation with CT participation after adjusting for important individual-level factors (age, sex, race/ethnicity, income, and education), stratified by study and cancer type. Results: Among 7080 patients, 1299 (18.5%) were from rural areas, 653 (9.4%) were from SDAs; and 715 (10.1%) participated in a CT. Patients had breast (56.1%), prostate (21.8%), lung (13.6%), and colorectal (8.4%) cancer. In univariate analysis, rural patients were 23% less likely to participate in a CT (OR=0.77, 95% CI: 0.62-0.95, p=.016); in multivariate analysis, results were similar (OR=0.80, 95% CI: 0.64-0.99, p=.037). Very rural residents were 34% less likely to participate than urban patients (OR=0.66, 95% CI, 0.55-0.80, ordinal p=.031). There was no statistically significant association between residence in SDAs and CT participation (p>.30). Rural patients were more likely to have >1 comorbid conditions (45.4% vs. 39.5%, p=.001), to be concerned about how to pay for their care (40.6% vs. 32.4%, p<.0001), and to travel farther for care (median 50.0 vs. 12.0 miles, p<.0001). Conclusions: Our findings are the first to show that rural residents are less likely to participate in CTs even after accounting for confounding individual factors. These results agree with prior observations that rural patients must travel longer distances for care, including for CT care. Reducing the travel burden for rural cancer patients could improve their CT participation and the generalizability of CT results to all patients.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kabir Ahmad ◽  
Enamul Kabir ◽  
Gail M. Ormsby ◽  
Rasheda Khanam

Abstract Background The population-based classification of asthma severity is varied and needs further classification. This study identified clusters of asthma and related comorbidities of Australian children aged 12–13 years; determined health outcome differences among clusters; and investigated the associations between maternal asthma and other health conditions during pregnancy and the children’s clustered groups. Methods Participants were 1777 children in the birth cohort of the Longitudinal Study of Australian Children (LSAC) who participated in the Health CheckPoint survey and the LSAC 7th Wave. A latent class analysis (LCA) was conducted to identify clusters of children afflicted with eight diseases, such as asthma (ever diagnosed or current), wheezing, eczema, sleep problem/snoring/breathing problem, general health status, having any health condition and food allergy. Multinomial logistic regression was used to investigate the association between maternal asthma or other health conditions and LCA clusters. Results The study identified four clusters: (i) had asthma – currently healthy (11.0%), (ii) never asthmatic & healthy (64.9%), (iii) early-onset asthmatic or allergic (10.7%), and (iv) asthmatic unhealthy (13.4%). The asthmatic unhealthy cluster was in poor health in terms of health-related quality of life, general wellbeing and lung functions compared to other clusters. Children whose mothers had asthma during pregnancy were 3.31 times (OR 3.31, 95% CI: 2.06–5.30) more likely to be in the asthmatic unhealthy cluster than children whose mothers were non-asthmatic during pregnancy. Conclusion Using LCA analysis, this study improved a classification strategy for children with asthma and related morbidities to identify the most vulnerable groups within a population-based sample.


2008 ◽  
Vol 18 (3) ◽  
pp. 421-427 ◽  
Author(s):  
M. S. Tetsche ◽  
M. Nørgaard ◽  
J. Jacobsen ◽  
P. Wogelius ◽  
H. T. Sørensen

The impact of comorbid diseases on ovarian cancer survival is largely unknown. We therefore examined (i) the prevalence of comorbidity among ovarian cancer patients and (ii) the impact of comorbidity on ovarian cancer survival and mortality. Using hospital discharge data, we identified Danish women diagnosed with ovarian cancer between 1995 and 2005 (n= 1995 within a population of 1.6 million) and then computed Charlson comorbidity index scores (0, 1–2, and 3+). We estimated the prevalence of comorbidity and computed absolute survival and relative mortality rate ratios (MRRs) according to comorbidity level, using patients with Charlson score 0 as the reference group. During the study period, the proportion of patients without comorbidity fell from 81% to 75%, while the proportion of patients with comorbidity score 1–2 and 3+ rose from 16% to 21% and from 4% to 5%, respectively. Overall 1-year survival increased from 68% in 1995–1997 to 70% in 1998–2000 and to 73% in 2001–2004. For patients with Charlson score 1–2, 1-year adjusted MRRs were 1.1 (95% CI, 0.8–1.6) in 1995–1997, 1.3 (95% CI, 1.0–1.8) in 1998–2000, and 1.7 (95% CI, 1.3–2.4) in 2001–2004. For patients with Charlson score 3+, 1-year adjusted MRRs were 2.4 (95% CI, 1.4–4.3) in 1995–1997, 1.6 (95% CI, 1.0–2.7) in 1998–2000, and 2.2 (95% CI, 1.3–3.8) in 2001–2004. The 5-year MRRs were similar to the 1-year MRRs. One quarter of Danish women with ovarian cancer were found to have comorbid conditions, and 5% had severe comorbidity. Severe comorbidity was a predictor of poorer survival.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1969-1969
Author(s):  
Inna Gong ◽  
Matthew Cheung ◽  
Kelvin Chan ◽  
Sumedha Arya ◽  
Neil Faught ◽  
...  

Abstract Introduction While prior studies suggest that mental health complications are underdiagnosed and undertreated in patients with cancer, a paucity of data exists for patients with diffuse large B-cell lymphoma (DLBCL). Indeed, mental illness can impact the success of potentially curative treatment for DLBCL including delays in treatment initiation, poor chemotherapy compliance, and suboptimal rates of completion. Accordingly, we aimed to examine the risk of incident mental health events following DLBCL diagnosis, and the association of mental health conditions with overall survival (OS). Methods We conducted a population-based observational study using linked administrative healthcare databases from Ontario, Canada. All Ontario residents aged ≥18 years with DLBCL treated with rituximab-based chemotherapy for curative intent between January 2005 and December 2017 were identified and followed from the date of first rituximab until March 1, 2020. The primary outcome was any incident mental health event (emergency department visit, hospitalization, or outpatient visit for mood disturbance including depression and anxiety, psychotic disorder, or substance-related disorder). Patients with a DLBCL diagnosis without pre-existing mental health comorbidity in the 2-years prior to start of rituximab were matched to mental health condition- and cancer-free controls in a 1:4 ratio based on birth year and sex. The cumulative incidence function was used to estimate incidence of mental health events while accounting for the competing risk of death, and differences were compared using Gray's K-sample test. A cause-specific Cox regression model was used to estimate mental health events up to two-years following rituximab initiation, while controlling for relevant covariates (sex, age modeled in 10-year interval increments, rural vs. urban residence, income quintile, and quartile of sum of aggregated diagnosis groups (ADGs) as a measure of comorbid disease burden (mental health and cancer diagnoses excluded). The secondary outcome was the association of mental health conditions on OS for all identified DLBCL patients, evaluated using Cox regression (with mental health event as time-varying variable). Results We identified 10,299 patients diagnosed with DLBCL and treated with a rituximab-containing regimen in Ontario, with median age 67 years (IQR 56-76), 45.9% female, median ADG score of 9 (IQR 6-11), and median of 6 cycles of rituximab received (IQR 4-6). For patients with available stage data (49.2% of cohort), 34.6% had stage IV at diagnosis. When compared to birth year- and sex-matched controls (n=29,620), DLBCL cases (n=7,405) had a greater comorbidity burden (p&lt;0.001). During a median follow-up of 5.16 years (SD+4.13), 28.8% of DLBCL patients without pre-existing mental health conditions developed an incident mental health event. With adjustment of potential confounders, patients with DLBCL still had significantly higher risk of an incident mental health event compared to controls (adjusted hazard ratio [aHR] 1.29, 95% confidence interval [CI] 1.21-1.39, p&lt;0.0001) (Figure 1, Table 1). Younger age, female sex and higher comorbidity burden were associated with an increased risk of an incident mental health event (Table 1). In addition, having a mental health condition (either pre-existing or after start of rituximab) was associated with a significantly worse one-year OS (aHR 1.11, 95% CI 1.01-1.22, p&lt;0.0001) and at end of follow-up (aHR 1.24, 95% CI 1.16-1.32, p&lt;0.0001; Table 2). Additional factors independently associated with worse overall OS included older age, increased comorbidity, and male sex (Table 2). Conclusions In this large population-based study, patients with DLBCL were found to have a significantly higher risk of incident mental health events compared to controls. Moreover, the presence of a mental health condition was associated with worse survival outcomes. These data suggest that patients with DLBCL, particularly those with pre-existing mental health condition(s), would benefit from routine mental health assessment and management during follow-up, not only for mental health itself but also potentially to improve survival. Figure 1 Figure 1. Disclosures Prica: Astra-Zeneca: Honoraria; Kite Gilead: Honoraria.


2021 ◽  
Author(s):  
Lena Morgon Banks ◽  
Jing Liu ◽  
Anne Kielland ◽  
Ali Bako Tahirou ◽  
Abdoul Karim Seydou Harouna ◽  
...  

Abstract Background: Data on childhood disability is essential for planning health, education and other services. However, information is lacking in many low- and middle-income countries, including Niger. This study uses the Key Informant Method, an innovative and cost-effective strategy for generation population-based estimates of childhood disability, to estimate the prevalence and causes of moderate/severe impairments and disabling health conditions in children of school-going age (7-16 years) in the Kollo department of western Niger. Methods: Community-based key informants were trained to identify children who were suspected of having the impairment types/health conditions included in this study. Children identified by key informants were visited by paediatricians and underwent an assessment for moderate/severe vision, hearing, physical and intellectual impairments, as well as epilepsy, albinism and emotional distress. Results: 2,561 children were identified by key informants, of whom 2191 were visited by paediatricians (response rate = 85.6%). Overall, 597 children were determined to have an impairment/health condition, giving a prevalence of disability of 11.4 per 1000 children (10.6- 12.2). Intellectual impairment was most common (4.9 per 1000), followed by physical (4.9 per 1000) and hearing impairments (4.7 per 1000). Many children had never sought medical attention for their impairment/health condition, with health seeking ranging from 40.0% of children with visual impairment to 67.2% for children with physical impairments. Conclusion: The Key Informant Method enabled the identification of a large number of children with disabling impairments and health conditions in rural Niger, many of whom have unmet needs for health and other services.


2018 ◽  
Vol 103 (6) ◽  
pp. 548-556 ◽  
Author(s):  
Tracy Liu ◽  
Raghu Lingam ◽  
Kate Lycett ◽  
Fiona K Mensah ◽  
Joshua Muller ◽  
...  

ObjectiveTo estimate prevalence and persistence of 19 common paediatric conditions from infancy to 14–15 years.DesignPopulation-based prospective cohort study.SettingAustralia.ParticipantsParallel cohorts assessed biennially from 2004 to 2014 from ages 0–1 and 4–5 years to 10–11 and 14–15 years, respectively, in the Longitudinal Study of Australian Children.Main outcome measures19 health conditions: 17 parent-reported, 2 (overweight/obesity, obesity) directly assessed. Two general measures: health status, special health care needs. Analysis: (1) prevalence estimated in 2-year age-bands and (2) persistence rates calculated at each subsequent time point for each condition among affected children.Results10 090 children participated in Wave 1 and 6717 in all waves. From age 2, more than 60% of children were experiencing at least one health condition at any age. Distinct prevalence patterns by age-bands comprised eight conditions that steadily rose (overweight/obesity, obesity, injury, anxiety/depression, frequent headaches, abdominal pain, autism spectrum disorder, attention-deficit hyperactivity disorder). Six conditions fell with age (eczema, sleep problems, day-wetting, soiling, constipation, recurrent tonsillitis), three remained stable (asthma, diabetes, epilepsy) and two peaked in mid-childhood (dental decay, recurrent ear infections). Conditions were more likely to persist if present for 2 years; persistence was especially high for obesity beyond 6–7 (91.3%–95.1% persisting at 14–15).ConclusionsBeyond infancy, most Australian children are experiencing at least one ongoing health condition at any given time. This study’s age-specific estimates of prevalence and persistence should assist families and clinicians to plan care. Conditions showing little resolution (obesity, asthma, attention-deficit hyperactivity disorder) require long-term planning and management.


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