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1.
Br J Cancer ; 126(4): 652-663, 2022 03.
Artigo em Inglês | MEDLINE | ID: mdl-34741134

RESUMO

BACKGROUND: Cancer patients often have pre-existing comorbidities, which can influence timeliness of cancer diagnosis. We examined symptoms, investigations and emergency presentation (EP) risk among colorectal cancer (CRC) patients by comorbidity status. METHODS: Using linked cancer registration, primary care and hospital records of 4836 CRC patients (2011-2015), and multivariate quantile and logistic regression, we examined variations in specialist investigations, diagnostic intervals and EP risk. RESULTS: Among colon cancer patients, 46% had at least one pre-existing hospital-recorded comorbidity, most frequently cardiovascular disease (CVD, 18%). Comorbid versus non-comorbid cancer patients more frequently had records of anaemia (43% vs 38%), less frequently rectal bleeding/change in bowel habit (20% vs 27%), and longer intervals from symptom-to-first relevant test (median 136 vs 74 days). Comorbid patients were less likely investigated with colonoscopy/sigmoidoscopy, independently of symptoms (adjusted OR = 0.7[0.6, 0.9] for Charlson comorbidity score 1-2 and OR = 0.5 [0.4-0.7] for score 3+ versus 0. EP risk increased with comorbidity score 0, 1, 2, 3+: 23%, 35%, 33%, 47%; adjusted OR = 1.8 [1.4, 2.2]; 1.7 [1.3, 2.3]; 3.0 [2.3, 4.0]) and for patients with CVD (adjusted OR = 2.0 [1.5, 2.5]). CONCLUSIONS: Comorbid individuals with as-yet-undiagnosed CRC often present with general rather than localising symptoms and are less likely promptly investigated with colonoscopy/sigmoidoscopy. Comorbidity is a risk factor for diagnostic delay and has potential, additionally to symptoms, as risk-stratifier for prioritising patients needing prompt assessment to reduce EP.


Assuntos
Colonoscopia/métodos , Neoplasias Colorretais/diagnóstico , Adulto , Idoso , Idoso de 80 Anos ou mais , Comorbidade , Diagnóstico Tardio , Humanos , Modelos Logísticos , Pessoa de Meia-Idade , Análise Multivariada , Sistema de Registros , Sigmoidoscopia , Adulto Jovem
2.
Br J Cancer ; 125(9): 1299-1307, 2021 10.
Artigo em Inglês | MEDLINE | ID: mdl-34389805

RESUMO

INTRODUCTION: Diagnostic delay is associated with lower chances of cancer survival. Underlying comorbidities are known to affect the timely diagnosis of cancer. Diffuse large B-cell (DLBCL) and follicular lymphomas (FL) are primarily diagnosed amongst older patients, who are more likely to have comorbidities. Characteristics of clinical commissioning groups (CCG) are also known to impact diagnostic delay. We assess the association between comorbidities and diagnostic delay amongst patients with DLBCL or FL in England during 2005-2013. METHODS: Multivariable generalised linear mixed-effect models were used to assess the main association. Empirical Bayes estimates of the random effects were used to explore between-cluster variation. The latent normal joint modelling multiple imputation approach was used to account for partially observed variables. RESULTS: We included 30,078 and 15,551 patients diagnosed with DLBCL or FL, respectively. Amongst patients from the same CCG, having multimorbidity was strongly associated with the emergency route to diagnosis (DLBCL: odds ratio 1.56, CI 1.40-1.73; FL: odds ratio 1.80, CI 1.45-2.23). Amongst DLBCL patients, the diagnostic delay was possibly correlated with CCGs that had higher population densities. CONCLUSIONS: Underlying comorbidity is associated with diagnostic delay amongst patients with DLBCL or FL. Results suggest a possible correlation between CCGs with higher population densities and diagnostic delay of aggressive lymphomas.


Assuntos
Diagnóstico Tardio/estatística & dados numéricos , Linfoma Folicular/diagnóstico , Linfoma Difuso de Grandes Células B/diagnóstico , Adulto , Idoso , Idoso de 80 Anos ou mais , Teorema de Bayes , Comorbidade , Estudos Transversais , Inglaterra , Feminino , Humanos , Modelos Lineares , Linfoma Folicular/patologia , Linfoma Difuso de Grandes Células B/patologia , Masculino , Pessoa de Meia-Idade , Estadiamento de Neoplasias , Fatores de Risco , Adulto Jovem
3.
Cancer Epidemiol ; 71(Pt A): 101896, 2021 04.
Artigo em Inglês | MEDLINE | ID: mdl-33516139

RESUMO

BACKGROUND: A persistent socioeconomic gap in colon cancer survival is observed in England. Provision of cancer care may also vary by socioeconomic status (SES). We investigated population-based data to explore differential surgical care by SES. METHODS: We analysed a retrospective cohort of patients diagnosed with colon cancer in England (2010-2013). We examined patterns of presentation and surgery by SES, and whether socioeconomic differences exist in the length of time from diagnosis to elective major resection using linear regression. RESULTS: Among a total of 68 169 patients with colon cancer, 21.0 % (3138/14 917) in the most affluent group had emergency presentation (EP) whereas 27.9 % (2901/10 386) in the most deprived. Among 45 332 (66.5 %) patients who underwent resection, the proportion of patients receiving urgent surgery (surgery before or ≤ 7 days of diagnosis) was higher in the most deprived group (39.9 %, 2685/6733) than the most affluent (35.4 %, 3595/10 146). Days from diagnosis to elective surgery (surgery > 7 days after diagnosis) ranged from 33.9 (95 % CI 33.1-34.8) in stage II to 38.2 (95 % CI 36.8-39.7) in stage I, but no socioeconomic differences in time were seen in all stages. CONCLUSIONS: Time to elective surgery for colon cancer did not differ by SES, whereas a higher proportion among deprived patients tended to be diagnosed through EP and to receive urgent surgery. These results suggest that the waiting time target may not be an appropriate measure to assess access to cancer care. Reducing both EP and urgent surgery should be a key policy target.


Assuntos
Neoplasias do Colo/cirurgia , Procedimentos Cirúrgicos Eletivos/estatística & dados numéricos , Disparidades em Assistência à Saúde/economia , Classe Social , Idoso , Idoso de 80 Anos ou mais , Neoplasias do Colo/epidemiologia , Inglaterra/epidemiologia , Feminino , Humanos , Masculino , Estudos Retrospectivos , Fatores Socioeconômicos , Fatores de Tempo
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