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@ARTICLE{Boakye:147182,
      author       = {D. Boakye$^*$ and L. Jansen$^*$ and M. Schneider and J.
                      Chang-Claude$^*$ and M. Hoffmeister$^*$ and H. Brenner$^*$},
      title        = {{P}ersonalizing the {P}rediction of {C}olorectal {C}ancer
                      {P}rognosis by {I}ncorporating {C}omorbidities and
                      {F}unctional {S}tatus into {P}rognostic {N}omograms.},
      journal      = {Cancers},
      volume       = {11},
      number       = {10},
      issn         = {2072-6694},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {DKFZ-2019-02318},
      pages        = {1435},
      year         = {2019},
      abstract     = {Despite consistent evidence that comorbidities and
                      functional status (FS) are strong prognostic factors for
                      colorectal cancer (CRC) patients, these important
                      characteristics are not considered in prognostic nomograms.
                      We assessed to what extent incorporating these
                      characteristics into prognostic models enhances prediction
                      of CRC prognosis. CRC patients diagnosed in 2003-2014 who
                      were recruited into a population-based study in Germany and
                      followed over a median time of 4.7 years were randomized
                      into training (n = 1608) and validation sets (n = 1071). In
                      the training set, Cox models with predefined variables (age,
                      sex, stage, tumor location, comorbidity scores, and FS) were
                      used to construct nomograms for relevant survival outcomes.
                      The performance of the nomograms, compared to models without
                      comorbidity and FS, was evaluated in the validation set
                      using concordance index (C-index). The C-indexes of the
                      nomograms for overall and disease-free survival in the
                      validation set were 0.768 and 0.737, which were
                      substantially higher than those of models including tumor
                      stage only (0.707 and 0.701) or models including stage, age,
                      sex, and tumor location (0.749 and 0.718). The nomograms
                      enabled significant risk stratification within all stages
                      including stage IV. Our study suggests that incorporating
                      comorbidities and FS into prognostic nomograms could
                      substantially enhance prediction of CRC prognosis.},
      cin          = {C070 / C120 / C020 / L101},
      ddc          = {610},
      cid          = {I:(DE-He78)C070-20160331 / I:(DE-He78)C120-20160331 /
                      I:(DE-He78)C020-20160331 / I:(DE-He78)L101-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31561507},
      doi          = {10.3390/cancers11101435},
      url          = {https://inrepo02.dkfz.de/record/147182},
}