Can we individualize the 'number needed to treat'? An empirical study of summary effect measures in meta-analyses.

@article{Furukawa2002CanWI,
  title={Can we individualize the 'number needed to treat'? An empirical study of summary effect measures in meta-analyses.},
  author={Toshiaki Furukawa and Gordon H. Guyatt and Lauren E Griffith},
  journal={International journal of epidemiology},
  year={2002},
  volume={31 1},
  pages={72-6}
}
BACKGROUND Meta-analyses summarize the magnitude of treatment effect using a number of measures of association, including the odds ratio (OR), risk ratio (RR), risk difference (RD) and/or number needed to treat (NNT). In applying the results of a meta-analysis to individual patients, some textbooks of evidence-based medicine advocate individualizing NNT, based on the RR and the patient's expected event rate (PEER). This approach assumes constant RR but no empirical study to date has examined… CONTINUE READING

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