dc.contributor.author |
Roso-Llorach, Albert |
dc.contributor.author |
Forné, Carles |
dc.contributor.author |
Macià Guilà, Francesc |
dc.contributor.author |
Galceran, Jaume |
dc.contributor.author |
Marcos-Gragera, Rafael |
dc.contributor.author |
Rué, Montserrat |
dc.date |
2014 |
dc.identifier |
https://ddd.uab.cat/record/128140 |
dc.identifier |
urn:oai:ddd.uab.cat:128140 |
dc.identifier |
urn:articleid:20138830v38n2p139 |
dc.identifier |
urn:oai:raco.cat:article/284039 |
dc.identifier |
urn:oai:egreta.uab.cat:publications/fa14df25-7038-4510-9792-aecc0e467a02 |
dc.identifier |
urn:scopus_id:84916925601 |
dc.format |
application/pdf |
dc.language |
eng |
dc.publisher |
|
dc.relation |
SORT : statistics and operations research transactions ; Vol. 38 Núm. 2 (July-December 2014), p. 139-160 |
dc.rights |
open access |
dc.rights |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. |
dc.rights |
https://creativecommons.org/licenses/by-nc-nd/3.0/ |
dc.subject |
Breast cancer |
dc.subject |
Early detection |
dc.subject |
Screening |
dc.subject |
Lead time bias |
dc.subject |
Length bias |
dc.subject |
Survival |
dc.title |
Assessing the impact of early detection biases on breast cancer survival of Catalan women |
dc.type |
Article |
dc.description.abstract |
Survival estimates for women with screen-detected breast cancer are affected by biases specific to early detection. Lead-time bias occurs due to the advance of diagnosis, and length-sampling bias because tumors detected on screening exams are more likely to have slower growth than tumors symptomatically detected. Methods proposed in the literature and simulation were used to assess the impact of these biases. If lead-time and length-sampling biases were not taken into account, the median survival time of screen-detected breast cancer cases may be overestimated by 5 years and the 5-year cumulative survival probability by between 2.5 to 5 percent units. |