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1.
Thorax ; 77(10): 1036-1040, 2022 10.
Artículo en Inglés | MEDLINE | ID: mdl-35863766

RESUMEN

Eligibility for lung cancer screening (LCS) requires assessment of lung cancer risk, based on smoking history alongside demographic and medical factors. Reliance on individual face-to-face eligibility assessment risks inefficiency and costliness. The SUMMIT Study introduced a telephone-based lung cancer risk assessment to guide invitation to face-to-face LCS eligibility assessment, which significantly increased the proportion of face-to-face attendees eligible for LCS. However, levels of agreement between phone screener and in-person responses were lower in younger individuals and minority ethnic groups. Telephone-based risk assessment is an efficient way to optimise selection for LCS appointments but requires further iteration to ensure an equitable approach.


Asunto(s)
Neoplasias Pulmonares , Humanos , Neoplasias Pulmonares/diagnóstico por imagen , Detección Precoz del Cáncer , Teléfono , Tomografía Computarizada por Rayos X , Medición de Riesgo , Tamizaje Masivo
2.
Lancet Public Health ; 8(2): e130-e140, 2023 02.
Artículo en Inglés | MEDLINE | ID: mdl-36709053

RESUMEN

BACKGROUND: Lung cancer screening with low-dose CT reduces lung cancer mortality, but screening requires equitable uptake from candidates at high risk of lung cancer across ethnic and socioeconomic groups that are under-represented in clinical studies. We aimed to assess the uptake of invitations to a lung health check offering low-dose CT lung cancer screening in an ethnically and socioeconomically diverse cohort at high risk of lung cancer. METHODS: In this multicentre, prospective, longitudinal cohort study (SUMMIT), individuals aged 55-77 years with a history of smoking in the past 20 years were identified via National Health Service England primary care records at practices in northeast and north-central London, UK, using electronic searches. Eligible individuals were invited by letter to a lung health check offering lung cancer screening at one of four hospital sites, with non-responders re-invited after 4 months. Individuals were excluded if they had dementia or metastatic cancer, were receiving palliative care or were housebound, or declined research participation. The proportion of individuals invited who responded to the lung health check invitation by telephone was used to measure uptake. We used univariable and multivariable logistic regression analyses to estimate associations between uptake of a lung health check invitation and re-invitation of non-responders, adjusted for sex, age, ethnicity, smoking, and deprivation score. This study was registered prospectively with ClinicalTrials.gov, NCT03934866. FINDINGS: Between March 20 and Dec 12, 2019, the records of 2 333 488 individuals from 251 primary care practices across northeast and north-central London were screened for eligibility; 1 974 919 (84·6%) individuals were outside the eligible age range, 7578 (2·1%) had pre-existing medical conditions, and 11 962 (3·3%) had opted out of particpation in research and thus were not invited. 95 297 individuals were eligible for invitation, of whom 29 545 (31·0%) responded. Due to the COVID-19 pandemic, re-invitation letters were sent to only a subsample of 4594 non-responders, of whom 642 (14·0%) responded. Overall, uptake was lower among men than among women (odds ratio [OR] 0·91 [95% CI 0·88-0·94]; p<0·0001), and higher among older age groups (1·48 [1·42-1·54] among those aged 65-69 years vs those aged 55-59 years; p<0·0001), groups with less deprivation (1·89 [1·76-2·04] for the most vs the least deprived areas; p<0·0001), individuals of Asian ethnicity (1·14 [1·09-1·20] vs White ethnicity; p<0·0001), and individuals who were former smokers (1·89 [1·83-1·95] vs current smokers; p<0·0001). When ethnicity was subdivided into 16 groups, uptake was lower among individuals of other White ethnicity than among those with White British ethnicity (0·86 [0·83-0·90]), whereas uptake was higher among Chinese, Indian, and other Asian ethnicities than among those with White British ethnicity (1·33 [1·13-1·56] for Chinese ethnicity; 1·29 [1·19-1·40] for Indian ethnicity; and 1·19 [1·08-1·31] for other Asian ethnicity). INTERPRETATION: Inviting eligible adults for lung health checks in areas of socioeconomic and ethnic diversity should achieve favourable participation in lung cancer screening overall, but inequalities by smoking, deprivation, and ethnicity persist. Reminder and re-invitation strategies should be used to increase uptake and the equity of response. FUNDING: GRAIL.


Asunto(s)
COVID-19 , Neoplasias Pulmonares , Adulto , Masculino , Humanos , Femenino , Anciano , Medicina Estatal , Detección Precoz del Cáncer , Estudios Prospectivos , Neoplasias Pulmonares/diagnóstico por imagen , Estudios Longitudinales , Pandemias , Inglaterra/epidemiología , Estudios de Cohortes , Pulmón , Factores de Riesgo , Tomografía Computarizada por Rayos X
3.
Lung Cancer ; 173: 94-100, 2022 11.
Artículo en Inglés | MEDLINE | ID: mdl-36179541

RESUMEN

Lung cancer screening (LCS) eligibility is largely determined by tobacco consumption. Primary care smoking data could guide LCS invitation and eligibility assessment. We present observational data from the SUMMIT Study, where individual self-reported smoking status was concordant with primary care records in 75.3%. However, 10.3% demonstrated inconsistencies between historic and most recent smoking status documentation. Quantified tobacco consumption was frequently missing, precluding direct LCS eligibility assessment. Primary care recorded "ever-smoker" status, encompassing both recent and historic documentation, can be used to target LCS invitation. Identifying those with missing or erroneous "never-smoker" smoking status is crucial for equitable invitation to LCS.


Asunto(s)
Detección Precoz del Cáncer , Neoplasias Pulmonares , Humanos , Neoplasias Pulmonares/diagnóstico , Neoplasias Pulmonares/epidemiología , Registros Electrónicos de Salud , Tomografía Computarizada por Rayos X , Atención Primaria de Salud , Tamizaje Masivo
4.
Br J Gen Pract ; 70(suppl 1)2020 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-32554671

RESUMEN

BACKGROUND: As cancer incidence increases and survival improves, the number of people living with a cancer diagnosis is increasing. People living with cancer have 50% more contact with GPs 15 months after diagnosis than a population of similar age, sex and locality; 70% have another long-term condition. AIM: To aid service providers' understanding of the cancer prevalent population by creating a publicly available visualisation tool that both describes patients' demographics and length of time lived with cancer, and compares counts of nationally registered cancer survivors to GP-maintained registers. METHOD: Using National Cancer Registration and Analysis Service (NCRAS) data, prevalence rates and counts were generated for London patients diagnosed 1995-2017 and alive 31 December 2017, overall and for lower-level geographies. GP-recorded Quality and Outcomes Framework (QOF) prevalence at Clinical Commissioning Group (CCG) level was compared to NCRAS counts for the same period. RESULTS: On 31 December 2017, 231 740 (2.6%) people were living with cancer in London; 33% were diagnosed 5-9 years prior and 31% were diagnosed ≥10 years prior. Prevalence was higher in women (P<0.001) and dramatically increased with age for London (P<0.001); >12% of >75 year olds were living with a cancer diagnosis in every lower-level geography. Completeness of GP QOF cancer registers against NCRAS prevalence counts ranged from 75-108% across CCGs. CONCLUSION: Local understanding of the cancer prevalent population is needed, with a concerted effort to interpret large discrepancies between QOF and NCRAS registers, which may arise from differences in coding practice. Ensuring patients are identified in primary care is a first key step to managing cancer as a long-term condition.

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