Diapositiva 1 - PowerPoint PPT Presentation

1 / 21
About This Presentation
Title:

Diapositiva 1

Description:

Mesothelioma, 3-year relative survival by registry. Angiosarcoma. of liver. Angiosarcoma ... Benign/borderline/malignant. ICD-O changes (i.e pilocytic astrocytoma) ... – PowerPoint PPT presentation

Number of Views:25
Avg rating:3.0/5.0
Slides: 22
Provided by: istitutona
Category:

less

Transcript and Presenter's Notes

Title: Diapositiva 1


1
RARECARE project Proposal for improving data
quality on rare cancers with high priority
Granada, March 25th 2009 Andalusian School of
Public Health
2
Rare tumours with high priority
  • short list

3
Short list
  • Mesothelioma
  • Liver angiosarcoma
  • Sarcomas
  • Tumors of oral cavity
  • SNC tumours
  • Germ cell tumours
  • Leukemia
  • Endocrine tumours

Primary prevention
Diagnostic accuracy
Secondary prevention
Quality of care
Data quality
4
Mesothelioma
  • Quality of follow-up (high lethality)
  • Accuracy of diagnosis

5
Mesothelioma, 3-year relative survival by
registry
6
Mesothelioma, 3-year relative survival by
registry
7
Angiosarcoma of liver
Anne Marie will refer
Angiosarcoma of liver
Source Lancet Oncol. 2006 Feb7(2)132-40
8
Sarcoma
  • of sarcoma NOS

9
Sarcoma NOS by registry
10
Sarcoma NOS by registry
11
Tumors of oral cavity
  • stage at diagnosis

12
Fare con registri di rarecare
M by registry
13
CNS tumours
  • Benign/borderline/malignant
  • ICD-O changes (i.e pilocytic astrocytoma)
  • Cultural attitudes of pathologists
  • (high variation in survival)
  • Quality of follow-up (high lethality)
  • Ryszard showed us

14
Brain tumours5-year survival in Europe
From 27 to 16 gt20 (Finland, Iceland,
Norway, Ireland, Wales, Austria, Belgium,
Germany, Switzerland, Portugal)
Source Sant et al, EJC, 2008
19.7
15
Germ cell tumours
  • Ovarian germ cell tumour

16
(No Transcript)
17
Indicator of data quality
  • Inconsistency in diagnosis
  • coding criteria
  • Geographical variation in incidence

18
Indicator of data quality
MV DCO Lost to f-u
Source Lancet Oncol. 2006 Feb7(2)132-40
19
Crude and standardised incidence rates range of
incidence across regions (ratio)
20
Germ cell tumours
  • of morphology NOS
  • among the relevant cancer sites

21
leukaemia
  • of morphology NOS

22
of leukaemia NOS by registry
(average 6)
23
Conclusion
  • Short list (agreement)
  • Data quality analysis on information already
    available to registries (ICD-O codes, incidence
    and survival analyses)
  • Check of morphology codes NOS and its impact on
    incidence and survival

24
Further clinical information to be collected
  • Stage
  • Treatment
  • Hospital for diagnosis and treatment
  • Biomarkers?
  • Prognostic factors?
  • Other?
Write a Comment
User Comments (0)
About PowerShow.com