Publications by authors named "Anna Louise Viktoria Johansson"

Purpose: The stage-specific survival of young breast cancer patients has improved, likely due to diagnostic and treatment advances. We addressed whether survival improvements have reached all socioeconomic groups in a country with universal health care and national treatment guidelines.

Methods: Using Norwegian registry data, we assessed stage-specific breast cancer survival by education and income level of 7501 patients (2317 localized, 4457 regional, 233 distant and 494 unknown stage) aged 30-48 years at diagnosis during 2000-2015.

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Background: Women with high socioeconomic status (SES) have the highest incidence rates of breast cancer. We wanted to determine if high SES women only have higher rates of localized disease, or whether they also have higher rates of non-localized disease. To study this, we used data on a young population with universal health care, but not offered screening.

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Background: While urinary bladder cancer is consistently more common in men worldwide, women have poorer prognosis. The aim of this study was to outline sex differences in prognostic factors and clinical management and to explore whether these can explain the poorer urinary bladder cancer outcome in women.

Patients And Methods: We performed a population-based cohort study including all patients diagnosed with urothelial bladder cancer between 1997 and 2014 at age 18 to 89 who had data recorded in the Swedish Urinary Bladder Cancer Register (n = 36,344).

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Aim: To in detail delineate sex differences in non-small cell lung cancer outcome and investigate possible underlying drivers.

Methods: We performed a nationwide, population-based cohort study using data on all incident cases of lung squamous cell carcinoma (n = 10,325) and adenocarcinoma (n = 23,465) recorded in the Swedish Lung Cancer Register in 2002-2016. Flexible parametric models were applied to compute adjusted female-to-male hazard ratios (aHRs) and standardized survival proportions over follow-up including age, calendar year, education, marital status, birth country, health care region, performance status, smoking history, comorbidities, and tumor location in the final model.

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