Investigating the inequalities in route to diagnosis amongst patients with diffuse large B-cell or follicular lymphoma in England
Metadatos
Afficher la notice complèteAuteur
J. Smith, Matthew; Luque Fernández, Miguel Ángel; Belot, Aurélien; Quartagno, Matteo; Bonaventure, Audrey; Benitez Majano, Sara; Rachet, Bernard; Njeru Njagi, EdmundEditorial
Springer Nature
Date
2021-08-13Referencia bibliográfica
J Smith, M. et. al. Br J Cancer 125, 1299–1307 (2021). [https://doi.org/10.1038/s41416-021-01523-6]
Patrocinador
Cancer Research UK grant number C7923/A18525Résumé
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.