BMJ 1998;317:1453 ( 21 November )

Letters

Detection of changes in mortality after heart surgery

    Control limits failed to account for case mix
    Author's reply

Control limits failed to account for case mix

The first 150 words of the full text of this article appear below.

EDITOR---We are concerned about the graphical technique described by Poloniecki et al in their analysis of perioperative mortality rates associated with cardiac surgery.1 Figure 2 shows three traces: observed mortality performance bracketed by control limits and plotted against the number of successive cases performed. The interpretation of the middle of the traces is straightforward since it is simply a variable life adjusted display that has previously been described and will be familiar to many cardiac surgeons in the United Kingdom.2 The use of control limits, on the other hand, is new. However, the usefulness and indeed the validity of these is not clear. As the authors themselves note, their analysis does not amount to a formal test of significance since the control limits have not been corrected for multiple testing; this is a major deficiency. The use of 99% control limits rather than 95% control limits presumably increases their . . . [Full text of this article]


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Relevant Article

Cumulative risk adjusted mortality chart for detecting changes in death rate: observational study of heart surgery
J Poloniecki, O Valencia, and P Littlejohns
BMJ 1998 316: 1697-1700. [Abstract] [Full Text] [PDF]

This article has been cited by other articles:

  • Sismanidis, C., Bland, M., Poloniecki, J. (2003). Properties of the Cumulative Risk-Adjusted Mortality (CRAM) Chart, Including the Number of Deaths Before a Doubling of the Death Rate is Detected. Med Decis Making 23: 242-251 [Abstract]  
  • Sherlaw-Johnson, C, Lovegrove, J, Treasure, T, Gallivan, S (2000). Likely variations in perioperative mortality associated with cardiac surgery: when does high mortality reflect bad practice?. Heart 84: 79-82 [Abstract] [Full text]  



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