title: Work Loss Duration and Predictors Following Rectal Cancer Treatment among Patients with and without Prediagnostic Work Loss.
abstract: The number of working-age rectal cancer survivors is increasing due to early detection and improved treatment. However, work loss duration and predictors among them have not been studied thoroughly.
  
  
  
  We identified 3,438 patients with stage I-III rectal cancer, 18 to 61 years of age in the Swedish Colorectal Cancer Register 1996-2009. Information on work loss due to sick leave or disability pension was collected from 2 years before diagnosis to 5 years after (until December 31st, 2013). Incidence rate ratios (IRR) of work loss were estimated in a negative binominal model by clinical characteristics for the 1st and 2nd-5th years after diagnosis. Patients were stratified by prediagnostic work loss.
  
  
  
  Patients without prediagnostic work loss (74%) experienced median 147 days (25th and 75th percentile: 55 and 281) of work loss during the 1st year after diagnosis. Work loss rates (2nd-5th years) were significantly increased among relapse-free patients diagnosed in stage III [IRR = 1.92; 95% confidence interval (CI), 1.52-2.43], operated with abdominoperineal resection (IRR = 1.26; 95% CI, 1.03-1.56), and treated with neoadjuvant (chemo)radiotherapy (IRR = 1.46; 95% CI, 1.06-2.02). Patients with prediagnostic work loss (26%) experienced median 336 days (25th and 75th percentile: 183 and 365) of work loss during the 1st year, and rates did not vary clinically till 5 years.
  
  
  
  Without prediagnostic work loss, disease- and treatment-related factors could help identify rectal cancer patients in need of early interventions to facilitate return to work.
  
  
  
  Clinical awareness around prediagnostic and postdiagnostic work loss and individualized cancer rehabilitation programs should be emphasized among cancer survivors. Cancer Epidemiol Biomarkers Prev; 25(6); 987-94. ©2016 AACR.
authors.affiliation: Clinical Epidemiology Unit, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden. lingjing.chen@ki.se.
authors.forename: Lingjing
authors.initials: L
authors.lastname: Chen
authors.affiliation: Clinical Epidemiology Unit, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden. Department of Immunology, Genetics, and Pathology, Uppsala University, Uppsala, Sweden.
authors.forename: Ingrid
authors.initials: I
authors.lastname: Glimelius
authors.affiliation: Clinical Epidemiology Unit, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden.
authors.forename: Martin
authors.initials: M
authors.lastname: Neovius
authors.affiliation: Clinical Epidemiology Unit, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
authors.forename: Sara
authors.initials: S
authors.lastname: Ekberg
authors.affiliation: Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
authors.forename: Anna
authors.initials: A
authors.lastname: Martling
authors.affiliation: Clinical Epidemiology Unit, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden.
authors.forename: Sandra
authors.initials: S
authors.lastname: Eloranta
authors.affiliation: Clinical Epidemiology Unit, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden.
authors.forename: Karin E
authors.initials: KE
authors.lastname: Smedby
mesh_terms: D000293:Adolescent; D000328:Adult; D000073116:Cancer Survivors; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D012004:Rectal Neoplasms / Q000601:surgery*; D062707:Return to Work; D018582:Sick Leave; D013548:Sweden; D055815:Young Adult