Literature DB >> 18989878

Assessment of selection bias in clinic-based populations of childhood cancer survivors: a report from the childhood cancer survivor study.

Kirsten K Ness1, Wendy Leisenring, Pam Goodman, Toana Kawashima, Ann C Mertens, Kevin C Oeffinger, Gregory T Armstrong, Leslie L Robison.   

Abstract

BACKGROUND: It is not known to what extent prevalence estimates of late effects among childhood cancer survivors derived from clinic based samples represent the actual estimates that would be derived if the entire population of childhood cancer survivors was recruited and evaluated for a particular outcome. PROCEDURE: In a large retrospective cohort study of childhood cancer survivors, the Childhood Cancer Survivor Study (CCSS), the prevalence of chronic health conditions among participants who reported being seen in a cancer center or long-term follow-up clinic was compared to the prevalence of chronic conditions in the entire cohort.
RESULTS: When compared to survivors who had no medical care in the previous 2 years, survivors accessing medical follow-up were significantly more likely to have chronic health conditions. Relative risks of reporting a chronic health condition were 1.4 (95% CI: 1.3-1.5) if seen in a cancer center or long-term follow-up clinic and 1.2 (95% CI: 1.1-1.3) if seen in a general medical care setting. Estimates derived from only those childhood cancer survivors who were seen in a cancer center or long-term follow-up clinic overestimate the prevalence of any chronic disease by 9.3% (95% CI: 7.0-11.6).
CONCLUSIONS: Applying chronic condition prevalence estimates from a clinical population to the general population of childhood cancer survivors must be undertaken with caution. Survivorship research must maintain a high level of scientific rigor to ensure that results reported in the literature are interpreted within the appropriate context.

Entities:  

Mesh:

Year:  2009        PMID: 18989878      PMCID: PMC2628420          DOI: 10.1002/pbc.21829

Source DB:  PubMed          Journal:  Pediatr Blood Cancer        ISSN: 1545-5009            Impact factor:   3.167


  17 in total

1.  A structural approach to selection bias.

Authors:  Miguel A Hernán; Sonia Hernández-Díaz; James M Robins
Journal:  Epidemiology       Date:  2004-09       Impact factor: 4.822

2.  Survivors of childhood cancer: coming of age.

Authors:  Melissa M Hudson
Journal:  Hematol Oncol Clin North Am       Date:  2008-04       Impact factor: 3.722

3.  Breast cancer in women after repeated fluoroscopic examinations of the chest.

Authors:  J D Boice; R R Monson
Journal:  J Natl Cancer Inst       Date:  1977-09       Impact factor: 13.506

4.  Hospital comorbidity bias and the concept of schizophrenia.

Authors:  Maarten Bak; Marjan Drukker; Jim van Os; Philippe Delespaul
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2005-09-22       Impact factor: 4.328

5.  Selection bias in epidemiologic studies.

Authors:  D G Kleinbaum; H Morgenstern; L L Kupper
Journal:  Am J Epidemiol       Date:  1981-04       Impact factor: 4.897

6.  Bias in binge eating disorder: how representative are recruited clinic samples?

Authors:  D E Wilfley; K M Pike; F A Dohm; R H Striegel-Moore; C G Fairburn
Journal:  J Consult Clin Psychol       Date:  2001-06

7.  The prevalence of contact allergy differed between population-based and clinic-based data.

Authors:  Wolfgang Uter; Alika Ludwig; Bernd-Rüdiger Balda; Axel Schnuch; Annette Pfahlberg; Torsten Schäfer; H-Erich Wichmann; Johannes Ring
Journal:  J Clin Epidemiol       Date:  2004-06       Impact factor: 6.437

8.  Are volunteers delivering semen samples in fertility studies a biased population?

Authors:  F Eustache; J Auger; D Cabrol; P Jouannet
Journal:  Hum Reprod       Date:  2004-09-30       Impact factor: 6.918

9.  The sick person effect.

Authors:  T D Sterling; J J Weinkam; J L Weinkam
Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

10.  Characteristics of childhood cancer survivors predicted their successful tracing.

Authors:  Ann C Mertens; Roberta Sposato Walls; Leslie Taylor; Pauline A Mitby; John Whitton; Peter D Inskip; John D Potter; Leslie L Robison
Journal:  J Clin Epidemiol       Date:  2004-09       Impact factor: 7.407

View more
  25 in total

1.  The role of beliefs in the relationship between health problems and posttraumatic stress in adolescent and young adult cancer survivors.

Authors:  Lisa A Schwartz; Anne E Kazak; Branlyn W Derosa; Matthew C Hocking; Wendy L Hobbie; Jill P Ginsberg
Journal:  J Clin Psychol Med Settings       Date:  2012-06

2.  Metabolic syndrome in childhood leukemia survivors: a meta-analysis.

Authors:  Maria Felicia Faienza; Maurizio Delvecchio; Paola Giordano; Luciano Cavallo; Maria Grano; Giacomina Brunetti; Annamaria Ventura
Journal:  Endocrine       Date:  2014-08-26       Impact factor: 3.633

Review 3.  Adverse effects of treatment in childhood acute lymphoblastic leukemia: general overview and implications for long-term cardiac health.

Authors:  Kirsten K Ness; Saro H Armenian; Nina Kadan-Lottick; James G Gurney
Journal:  Expert Rev Hematol       Date:  2011-04       Impact factor: 2.929

Review 4.  Threats to validity of nonrandomized studies of postdiagnosis exposures on cancer recurrence and survival.

Authors:  Jessica Chubak; Denise M Boudreau; Heidi S Wirtz; Barbara McKnight; Noel S Weiss
Journal:  J Natl Cancer Inst       Date:  2013-08-12       Impact factor: 13.506

5.  Assessing the Role of Selection Bias in the Protective Relationship Between Caregiving and Mortality.

Authors:  Meghan L Smith; Timothy C Heeren; Lynsie R Ranker; Lisa Fredman
Journal:  Am J Epidemiol       Date:  2019-11-01       Impact factor: 4.897

6.  Eating behavior and BMI in adolescent survivors of brain tumor and acute lymphoblastic leukemia.

Authors:  Jennifer A Hansen; Heather H Stancel; Lisa M Klesges; Vida L Tyc; Pamela S Hinds; Shengjie Wu; Melissa M Hudson; Lisa S Kahalley
Journal:  J Pediatr Oncol Nurs       Date:  2014-01-22       Impact factor: 1.636

Review 7.  Hepatitis C virus (HCV) disease progression in people who inject drugs (PWID): A systematic review and meta-analysis.

Authors:  Daniel J Smith; Joan Combellick; Ashly E Jordan; Holly Hagan
Journal:  Int J Drug Policy       Date:  2015-07-26

8.  Assessment of potential bias from non-participation in a dynamic clinical cohort of long-term childhood cancer survivors: results from the St. Jude Lifetime Cohort Study.

Authors:  Rohit P Ojha; S Cristina Oancea; Kirsten K Ness; Jennifer Q Lanctot; D Kumar Srivastava; Leslie L Robison; Melissa M Hudson; James G Gurney
Journal:  Pediatr Blood Cancer       Date:  2012-09-28       Impact factor: 3.167

9.  Radiation-Related New Primary Solid Cancers in the Childhood Cancer Survivor Study: Comparative Radiation Dose Response and Modification of Treatment Effects.

Authors:  Peter D Inskip; Alice J Sigurdson; Lene Veiga; Parveen Bhatti; Cécile Ronckers; Preetha Rajaraman; Houda Boukheris; Marilyn Stovall; Susan Smith; Sue Hammond; Tara O Henderson; Tanya C Watt; Ann C Mertens; Wendy Leisenring; Kayla Stratton; John Whitton; Sarah S Donaldson; Gregory T Armstrong; Leslie L Robison; Joseph P Neglia
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-12-15       Impact factor: 7.038

10.  Hypothyroidism after Radiation Therapy for Childhood Cancer: A Report from the Childhood Cancer Survivor Study.

Authors:  Peter D Inskip; Lene H S Veiga; Alina V Brenner; Alice J Sigurdson; Evgenia Ostroumova; Eric J Chow; Marilyn Stovall; Susan A Smith; Rita E Weathers; Wendy Leisenring; Leslie L Robison; Gregory T Armstrong; Charles A Sklar; Jay H Lubin
Journal:  Radiat Res       Date:  2018-05-15       Impact factor: 2.841

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.