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@ARTICLE{Blickle:296172,
      author       = {P. Blickle$^*$ and M. Schmidt$^*$ and K. Steindorf$^*$},
      title        = {{P}retreatment {F}atigue in {B}reast {C}ancer {P}atients:
                      {C}omparison {W}ith {H}ealthy {C}ontrols and {A}ssociations
                      {W}ith {B}iopsychosocial {V}ariables.},
      journal      = {Cancer medicine},
      volume       = {14},
      number       = {1},
      issn         = {2045-7634},
      address      = {Hoboken, NJ},
      publisher    = {Wiley},
      reportid     = {DKFZ-2025-00099},
      pages        = {e70404},
      year         = {2025},
      note         = {#EA:C110#LA:C110#},
      abstract     = {Cancer-related fatigue is one of the most common burdens of
                      cancer patients. To date, most studies focused on fatigue
                      during or after treatment. However, investigation of
                      pretreatment fatigue is crucial to identify causal or risk
                      factors other than cancer therapy and to enable timely
                      fatigue management.Two hundred and thirty-two breast cancer
                      patients (mean age = 55.6) and 41 healthy participants (mean
                      age = 49.3) were recruited via the National Center for Tumor
                      Diseases (NCT) Heidelberg. Patient-reported outcomes were
                      assessed with the EORTC QLQ-FA12 for fatigue, the EORTC
                      QLQ-C30 for functioning, the STAI for anxiety, the CESD-R
                      for depression and the PSQI for sleep disturbance.
                      Descriptive analyses and logistic regression models were
                      performed using baseline data before start of cancer
                      treatment. The thresholds of clinical importance (TCI) were
                      applied to test for clinically relevant fatigue.Compared to
                      the healthy participants, patients scored significantly
                      higher in physical, emotional, and total fatigue, in
                      depression, in global health status and in all functioning
                      scales except cognitive function (all p < 0.01). $48.7\%$ of
                      all patients reported clinically relevant fatigue. Being
                      younger, being obese, having low education, or low social
                      support was associated with a higher likelihood of
                      clinically relevant fatigue before treatment. Higher
                      depression and anxiety scores, poorer sleep quality and
                      global health status, and impaired functioning seemed to get
                      along with an increased likelihood of scoring above the TCI
                      of fatigue (all p < 0.001).Our study results suggest that
                      fatigue screening, patient-centered fatigue education and
                      psychosocial support may be needed already from the time of
                      cancer diagnosis.},
      keywords     = {Humans / Female / Fatigue: etiology / Fatigue: psychology /
                      Breast Neoplasms: psychology / Breast Neoplasms:
                      complications / Middle Aged / Case-Control Studies / Adult /
                      Aged / Quality of Life / Depression: etiology / Depression:
                      psychology / Anxiety: psychology / Anxiety: etiology / Risk
                      Factors / Patient Reported Outcome Measures / Surveys and
                      Questionnaires / breast cancer patients (Other) / cancer
                      (Other) / cancer‐related fatigue (Other) / oncology
                      (Other) / patient‐reported outcomes (Other) / pretreatment
                      fatigue (Other) / psychological factors (Other) /
                      psycho‐oncology (Other) / quality of life (Other) /
                      supportive care (Other)},
      cin          = {C110},
      ddc          = {610},
      cid          = {I:(DE-He78)C110-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39781572},
      pmc          = {pmc:PMC11712150},
      doi          = {10.1002/cam4.70404},
      url          = {https://inrepo02.dkfz.de/record/296172},
}