Literature DB >> 8471442

Does the month of diagnosis affect survival of cancer patients?

R Sankila1, H Joensuu, E Pukkala, S Toikkanen.   

Abstract

Some earlier studies based on relatively small data sets have suggested that the month of diagnosis affects survival of breast cancer patients. This phenomenon has been suggested to be attributable to daylight-related hormonal factors. Factors related to the holidays of both the medical personnel and the women themselves might also provide the explanation. In this study we assessed the effect of the month of diagnosis on the survival of 32,807 female breast cancer patients diagnosed in Finland in 1956-1985. Our results indicate that the month of diagnosis is a significant prognostic factor after adjusting for age at diagnosis, period of diagnosis, and stage at diagnosis. The adjusted relative excess risk of death was highest among those diagnosed in July and August, and lowest in March and November, the difference between the lowest and highest risk being 18%. Since colorectal cancer should not have any daylight-related hormone dependent risk determinants, a control cohort of 12,950 women with a diagnosis of colorectal cancer in the same calendar period was studied in a similar way. The survival pattern by month of diagnosis among the colorectal cancer patients was similar to that among breast cancer patients, indicating that general factors associated with the health behaviour of women and the health services (such as holidays) rather than biological factors may cause seasonal variations in survival of cancer patients.

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Year:  1993        PMID: 8471442      PMCID: PMC1968336          DOI: 10.1038/bjc.1993.153

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  4 in total

1.  A computer program package for relative survival analysis.

Authors:  T Hakulinen; K H Abeywickrama
Journal:  Comput Programs Biomed       Date:  1985

2.  Season of initial detection in breast cancer.

Authors:  M H Galea; R W Blamey
Journal:  Br J Cancer       Date:  1991-01       Impact factor: 7.640

3.  Association between the month of diagnosis and prognosis in breast carcinoma.

Authors:  H Joensuu; S Toikkanen
Journal:  Br J Cancer       Date:  1991-10       Impact factor: 7.640

4.  Season of initial discovery of tumour as an independent variable predicting survival in breast cancer.

Authors:  B H Mason; I M Holdaway; A W Stewart; L M Neave; R G Kay
Journal:  Br J Cancer       Date:  1990-01       Impact factor: 7.640

  4 in total
  2 in total

1.  Birth season and breast cancer risk in Japan.

Authors:  Y H Hu; T Kuroishi; Y Matsushita; C Nagata; H Shimizu
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

Review 2.  The influence of season, photoperiod, and pineal melatonin on immune function.

Authors:  R J Nelson; G E Demas; S L Klein; L J Kriegsfeld
Journal:  J Pineal Res       Date:  1995-11       Impact factor: 13.007

  2 in total

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