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Standardised survival probabilities: a useful and informative tool for reporting regression models for survival data.
Syriopoulou, Elisavet; Wästerlid, Tove; Lambert, Paul C; Andersson, Therese M-L.
Afiliação
  • Syriopoulou E; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. elisavet.syriopoulou@ki.se.
  • Wästerlid T; Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
  • Lambert PC; Department of Hematology, Karolinska University Hospital, Stockholm, Sweden.
  • Andersson TM; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Br J Cancer ; 127(10): 1808-1815, 2022 11.
Article em En | MEDLINE | ID: mdl-36050446
ABSTRACT

BACKGROUND:

When interested in studying the effect of a treatment (or other exposure) on a time-to-event outcome, the most popular approach is to estimate survival probabilities using the Kaplan-Meier estimator. In the presence of confounding, regression models are fitted, and results are often summarised as hazard ratios. However, despite their broad use, hazard ratios are frequently misinterpreted as relative risks instead of relative rates.

METHODS:

We discuss measures for summarising the analysis from a regression model that overcome some of the limitations associated with hazard ratios. Such measures are the standardised survival probabilities for treated and untreated survival probabilities if everyone in the population received treatment and if everyone did not. The difference between treatment arms can be calculated to provide a measure for the treatment effect.

RESULTS:

Using publicly available data on breast cancer, we demonstrated the usefulness of standardised survival probabilities for comparing the experience between treated and untreated after adjusting for confounding. We also showed that additional important research questions can be addressed by standardising among subgroups of the total population.

DISCUSSION:

Standardised survival probabilities are a useful way to report the treatment effect while adjusting for confounding and have an informative interpretation in terms of risk.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Br J Cancer Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Br J Cancer Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suécia