Het volume van chirurgische ingrepen en de impact ervan op ... - KCE
Het volume van chirurgische ingrepen en de impact ervan op ... - KCE
Het volume van chirurgische ingrepen en de impact ervan op ... - KCE
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<strong>KCE</strong> Reports 113 Volume Outcome 63<br />
As m<strong>en</strong>tioned, several authors adjusted for use of neoadju<strong>van</strong>t (giv<strong>en</strong> before the<br />
primary treatm<strong>en</strong>t) or adju<strong>van</strong>t (giv<strong>en</strong> after the primary treatm<strong>en</strong>t). Most of them found<br />
that the use of adju<strong>van</strong>t radiation therapy and chemotherapy did not vary systematically<br />
by hospital <strong>volume</strong>. 124, 127, 148, 153 In addition, Birkmeyer et al. assessed that adjusting for<br />
differ<strong>en</strong>ces in the use of this therapy only had a negligible effect in att<strong>en</strong>uating<br />
differ<strong>en</strong>ces in 5-year survival. 153<br />
Wouters et al., on the other hand, found that (neo) adju<strong>van</strong>t treatm<strong>en</strong>t varied wi<strong>de</strong>ly<br />
betwe<strong>en</strong> the Dutch <strong>volume</strong> groups. However, these factors were not significantly<br />
related to mortality. 152<br />
VOLUME OUTCOME ASSOCIATION<br />
The pres<strong>en</strong>t study did not find an inverse relationship betwe<strong>en</strong> hospital <strong>volume</strong> and 2year<br />
mortality. This result contrasts with the findings from the literature review which<br />
conclu<strong>de</strong>d that there is evid<strong>en</strong>ce for an inverse relationship betwe<strong>en</strong> hospital <strong>volume</strong><br />
and mortality for oes<strong>op</strong>hageal cancer surgery.<br />
The question rises whether this discrepancy betwe<strong>en</strong> our findings and literature has<br />
something to do with the missing data on stage. The fact that mortality rate was not<br />
substantially higher in the pati<strong>en</strong>ts whose stage was missing in the BCR (see Figure 5.3)<br />
seems to indicate, however, that these pati<strong>en</strong>ts are randomly divi<strong>de</strong>d into the four<br />
disease stages. I<strong>de</strong>ally, though, this assumption should be checked with the help of<br />
s<strong>en</strong>sitivity analyses, which was not done due to time constraints. In addition, we noticed<br />
that many hospitals – low-<strong>volume</strong> as well as high-<strong>volume</strong> – missed data on stage and<br />
that the perc<strong>en</strong>tage of missing data varied among these hospitals (see Figure 5.1).<br />
Despite the failure to retrieve information on disease stage, this problem did not<br />
restrain us from drawing conclusions on the <strong>volume</strong> outcome association.<br />
In 2003, Birkmeyer et al. proved that 46% of the appar<strong>en</strong>t effect of hospital <strong>volume</strong> was<br />
actually attributable to surgeon <strong>volume</strong>. 116 Wh<strong>en</strong> we consi<strong>de</strong>r this possibility, a possible<br />
explanation for the fact that low-<strong>volume</strong> hospitals have such low mortality could be that<br />
these pati<strong>en</strong>ts were treated by high-<strong>volume</strong> surgeons. This hypothesis was tested,<br />
however, and rejected since we found that pati<strong>en</strong>ts at low-<strong>volume</strong> hospitals were<br />
<strong>op</strong>erated on by low-<strong>volume</strong> surgeons.<br />
With respect to surgeon <strong>volume</strong>, the data suggest that there is an inverse association<br />
with 3 month mortality, although it did not reach statistical significance. 3 months<br />
mortality was 13.5% for surgeons with less than 6 interv<strong>en</strong>tions per year and 6.4% for<br />
surgeons with at least 6 interv<strong>en</strong>tions per year. Results at two years were consist<strong>en</strong>t.<br />
Several years of observations are required to increase precision of effects.