Literature DB >> 8018364

Patient's and doctor's delay in primary breast cancer. Prognostic implications.

P Afzelius1, K Zedeler, H Sommer, H T Mouridsen, M Blichert-Toft.   

Abstract

In a study of 7,608 patients with primary breast cancer patient's and doctor's delay were examined in relation to age, tumour size, grade of anaplasia, and number of positive lymph nodes. The delays were arbitrarily divided into the following intervals: Short (0-14 days), intermediate (15-60 days) and long (> 60 days). The well-established patient and tumour characteristics were shown to have prognostic significance. Similarly the delays showed significant influence on survival. A long patient's delay was associated with an unfavourable outcome, as compared with a short delay. On the contrary, the prognosis was superior for patients with a long doctor's delay compared to those with a short doctor's delay. Overall, when corrected for age, the prognostic value of delay in terms of mortality increased by 24% for a long patient's delay compared to a shorter and by 13% for a short doctor's delay compared to a longer. This indicates that doctors are capable of distinguishing between more and less aggressive malignancies. The study also suggests that all sources of delays should be kept at a minimum.

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Year:  1994        PMID: 8018364     DOI: 10.3109/02841869409098427

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  33 in total

1.  Waiting time for breast cancer surgery in Quebec.

Authors:  N E Mayo; S C Scott; N Shen; J Hanley; M S Goldberg; N MacDonald
Journal:  CMAJ       Date:  2001-04-17       Impact factor: 8.262

2.  Patient-expressed perceptions of wait-time causes and wait-related satisfaction.

Authors:  M Mathews; D Ryan; D Bulman
Journal:  Curr Oncol       Date:  2015-04       Impact factor: 3.677

3.  Intra-urban differences in breast cancer mortality: a study from the city of Malmö in Sweden.

Authors:  J Manjer; G Berglund; L Bondesson; J P Garne; L Janzon; A Lindgren; J Malina; S Matson
Journal:  J Epidemiol Community Health       Date:  2000-04       Impact factor: 3.710

4.  Timeliness of follow-up after abnormal screening mammography.

Authors:  K Kerlikowske
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

5.  The Effects of Hospital Characteristics on Delays in Breast Cancer Diagnosis in Appalachian Communities: A Population-Based Study.

Authors:  Christopher J Louis; Jonathan R Clark; Marianne M Hillemeier; Fabian Camacho; Nengliang Yao; Roger T Anderson
Journal:  J Rural Health       Date:  2017-01-19       Impact factor: 4.333

6.  What influences diagnostic delay in low-income women with breast cancer?

Authors:  Rose C Maly; Barbara Leake; Cynthia M Mojica; Yihang Liu; Allison L Diamant; Amardeep Thind
Journal:  J Womens Health (Larchmt)       Date:  2011-04-12       Impact factor: 2.681

7.  Effect on survival of longer intervals between confirmed diagnosis and treatment initiation among low-income women with breast cancer.

Authors:  John M McLaughlin; Roger T Anderson; Amy K Ferketich; Eric E Seiber; Rajesh Balkrishnan; Electra D Paskett
Journal:  J Clin Oncol       Date:  2012-11-19       Impact factor: 44.544

8.  Factors influencing the effect of age on prognosis in breast cancer: population based study.

Authors:  N Kroman; M B Jensen; J Wohlfahrt; H T Mouridsen; P K Andersen; M Melbye
Journal:  BMJ       Date:  2000-02-19

9.  Process of care failures in breast cancer diagnosis.

Authors:  Saul N Weingart; Mark G Saadeh; Brett Simchowitz; Tejal K Gandhi; Larissa Nekhlyudov; David M Studdert; Ann Louise Puopolo; Lawrence N Shulman
Journal:  J Gen Intern Med       Date:  2009-04-23       Impact factor: 5.128

10.  The National Awareness and Early Diagnosis Initiative in England: assembling the evidence.

Authors:  M A Richards
Journal:  Br J Cancer       Date:  2009-12-03       Impact factor: 7.640

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