Estimating lead-time bias in lung cancer diagnosis of patients with previous cancers.
Estimating lead-time bias in lung cancer diagnosis of patients with previous cancers.
复制标题
DOI:
10.1002/sim.7691
复制
发表时间:
2018-07-20
影响因子:
2
通讯作者:
Pruitt SL
中科院分区:
文献类型:
--
作者:
Ge Z;Heitjan DF;Gerber DE;Xuan L;Pruitt SL
Surprisingly, survival from a diagnosis of lung cancer has been found to be longer for those who experienced a previous cancer than for those with no previous cancer. A possible explanation is lead-time bias, which, by advancing the time of diagnosis, apparently extends survival among those with a previous cancer even when they enjoy no real clinical advantage. We propose a discrete parametric model to jointly describe survival in a no-previous-cancer group (where, by definition, lead-time bias cannot exist) and in a previous-cancer group (where lead-time bias is possible). We model the lead time with a negative binomial distribution and the post-lead-time survival with a linear spline on the logit hazard scale, which allows for survival to differ between the two groups even in the absence of bias; we denote our model LS/NB (Logit-Spline/Negative Binomial). We fit LS/NB to a propensity-score matched subset of the Surveillance, Epidemiology & End Results (SEER)-Medicare linked data set, conducting sensitivity analyses to assess the effects of key assumptions. With lung-cancer-specific death as the endpoint, the estimated mean lead time is roughly 11 months for stage I&II patients; with overall survival, it is roughly 3.4 months in stage I&II. For patients with higher-stage lung cancers, the mean lead time is 1 month or less for both outcomes. Accounting for lead-time bias reduces the survival advantage of the previous-cancer group when one exists, but it does not nullify it in all cases.
登录
查看更多内容
影响因子:
5.3
作者:
Laccetti, Andrew L.;Pruitt, Sandi L.;Gerber, David E.
通讯作者:
Gerber, David E.
影响因子:
2
作者:
WALTER, SD;STITT, LW
通讯作者:
STITT, LW
影响因子:
3.7
作者:
EFRON, B
通讯作者:
EFRON, B
DOI:
10.1093/jnci/95.12.868
发表时间:
2003-06-18
期刊:
JOURNAL OF THE NATIONAL CANCER INSTITUTE
影响因子:
--
作者:
Draisma, G;Boer, R;de Koning, HJ
通讯作者:
de Koning, HJ
影响因子:
1.9
作者:
DAY, NE;WALTER, SD
通讯作者:
WALTER, SD