Population-Based Clinical Cancer Registration in Germany
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Aims and Tasks of the New Clinical Cancer Registration
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- Evaluation of the collected clinical data and the feedback of the evaluation results to the individual healthcare providers;
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- The promotion of interdisciplinary, directly patient-related cooperation in cancer treatment;
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- Participation in the Joint Federal Committee’s inter-institutional and inter-sectoral quality assurance;
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- Cooperation with centres in oncology;
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- The provision of necessary data for the creation of transparency in care and for the purposes of healthcare research.
2.2. Structure of Cancer Registration
2.3. Notification of Cancer and Data Processing
2.4. Funding of Cancer Registration
2.5. Data and Analyses
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Population (Mio) | Founded | Clinical Data Since | |
---|---|---|---|
CR Baden-Wurttemberg | 11.1 | 1994 | 2009 |
CR Bavaria | 13.1 | 1998 | 2017 |
CR Berlin and Brandenburg | 6.0 (3.7/2.3) | 1953 | 1953 |
CR Bremen | 0.7 | 1998 | 2015 |
Hamburg CR | 1.9 | 1927 | 2014 |
CR Hesse | 6.3 | 2001 | 2015 |
CR Lower Saxony | 8.0 | 2000 | 2018 |
CR Mecklenburg-Western Pomerania | 1.6 | 1953 | 1953 |
CR North Rhine-Westphalia | 17.9 | ** 1986 | 2016 |
CR Rhineland-Palatinate | 4.1 | 1997 | 2016 |
Saarland CR | 1.0 | 1968 | 2016 |
CR Saxony | 4.1 | 1953 | 1953 |
CR Saxony-Anhalt | 2.2 | 2018 | 1993 |
CR Schleswig-Holstein | 2.9 | 1997 | 2017 |
CR Thuringia | 2.1 | 1953 | 1953 |
German Childhood Cancer Registry | 13.5 | 1980 | - |
German centre of cancer registry data at the Robert Koch-Institute * | (84.0) | 1983 | 2023 |
Item Class | Collected Information |
---|---|
Basic dataset | ~130 item |
Personal data patient | Health insurance numbers, names, address, date of birth and gender |
Personal data notifying institution | Names, address, billing data |
Cancer diagnosis | ICD-10, ICD-O topography, date, certainty, side |
Histology | Date, ICD-O morphology, grading, lymph nodes examined and involved, if pathology report: name and address of physician sending in the sample |
Tumour classification | TNM and other |
Genetic variants | Type |
Residual state | After surgery and total assessment |
Performance status | ECOG (at diagnosis) |
Surgery | Date, intention, OPS codes, complication |
Radiotherapy | Date, intention, position to surgery, target area, begin, end, dose, boost, complication (CTCAE) |
Systemic therapy | Date, intention, position to surgery, kind of therapy (including active surveillance), protocol, drug, begin, end |
Tumour conference | Date, type |
Follow-up | Date, total assessment of tumour, lymph nodes, metastases |
Death | Date, cause |
Organ specific modules | Specific items for quality assurance |
Breast cancer module | 10 items |
Prostate cancer module | 10 items |
Colorectal cancer module | 12 items |
Melanoma of the skin module | 4 items |
Women | Men | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Cancer Site | N | CR | ASR | % (Place) | 5Y-RS% | N | CR | ASR | Place-S | 5Y-RS% |
Oral cavity, pharynx (C00–C14) | 4357 | 10.4 | 4.6 | 1.8 (15) | 61.3 | 9521 | 23.2 | 11.5 | 3.5 (9) | 50.5 |
Oesophagus (C15) | 1627 | 3.9 | 1.5 | 0.7 (19) | 26.3 | 5694 | 13.9 | 6.3 | 2.1 (12) | 26.4 |
Stomach (C16) | 5650 | 13.4 | 4.8 | 2.4 (10) | 39.1 | 9091 | 22.2 | 9.4 | 3.4 (10) | 35.0 |
Colo-rectal (C18–C20) | 26,655 | 63.3 | 22.1 | 11.3 (2) | 68.2 | 33,440 | 81.6 | 34.3 | 12.4 (3) | 64.8 |
Pancreas (C25) | 9546 | 22.7 | 7.3 | 4.0 (7) | 13.6 | 9614 | 23.4 | 9.6 | 3.6 (7) | 12.4 |
Lung (C34) | 22,892 | 54.4 | 22.5 | 9.7 (3) | 25.0 | 34,572 | 84.3 | 36.0 | 12.8 (2) | 20.6 |
Melanoma (C43) | 11,038 | 26.2 | 14.1 | 4.7 (5) | 95.3 | 12,527 | 30.6 | 14.4 | 4.7 (5) | 94.0 |
Breast (C50) | 73,279 | 174.1 | 86.2 | 31.0 (1) | 86.5 | 721 | 1.8 | 0.8 | 0.3 (18) | 78.8 |
Cervix uteri (C53) | 4517 | 10.7 | 7.2 | 1.9 (14) | 61.6 | - | - | - | - | - |
Corpus uteri (C54–C55) | 11,221 | 26.7 | 11.6 | 4.8 (4) | 78.4 | - | - | - | - | - |
Ovary (C56) | 7128 | 16.9 | 7.6 | 3.0 (9) | 41.3 | - | - | - | - | - |
Prostate (C61) | - | - | - | - | - | 70,192 | 171.2 | 70.0 | 26.1 (1) | 90.3 |
Testis (C62) | - | - | - | - | - | 4113 | 10.0 | 9.3 | 1.5 (14) | 92.4 |
Kidney (C64) | 4912 | 11.7 | 4.6 | 2.1 (12) | 79.2 | 9505 | 23.2 | 10.9 | 3.5 (8) | 78.2 |
Bladder (C67) | 4697 | 11.2 | 3.5 | 2.0 (13) | 70.4 | 13,116 | 32.0 | 12.2 | 4.9 (4) | 78.5 |
Brain (C70–C72) | 3002 | 7.1 | 4.0 | 1.3 (18) | 27.9 | 3909 | 9.5 | 5.5 | 1.5 (13) | 24,3 |
Thyroid gland (C73) | 4113 | 9.8 | 7.3 | 1.7 (16) | 92.0 | 1816 | 4.4 | 3.0 | 0.7 (16) | 86.3 |
Hodgkin lymphoma (C81) | 1063 | 2.5 | 2.3 | 0.5 (20) | 89.1 | 1386 | 3.4 | 2.7 | 0.5 (17) | 86.0 |
Non-Hodgkin lym. (C82–C88) | 8094 | 19.2 | 7.7 | 3.4 (8) | 73.3 | 10,042 | 24.5 | 11.3 | 3.7 (6) | 71.1 |
Multiple myeloma (C90) | 3073 | 7.3 | 2.5 | 1.3 (17) | 59.3 | 3835 | 9.4 | 3.9 | 1.4 (15) | 57.8 |
Leukaemia (C91–C95) | 5263 | 12.5 | 5.2 | 2.2 (11) | 59.0 | 7467 | 18.2 | 8.5 | 2.8 (11) | 60.7 |
All sites excluding C44 | 236,218 | 561.2 | 249.0 | 100.0 | 67.0 | 269,394 | 657.0 | 290.3 | 100.0 | 63.4 |
Patients Total N = 1734 | UICC Stages I–II N = 554 | UICC Stages III–IV N = 792 | UICC Stage Unknown N = 388 | |
---|---|---|---|---|
Surgery | 1200 (69%) | 432 (78%) | 591 (75%) | 177 (46%) |
Curative intention | 1003 (84%) | 372 (86%) | 465 (79%) | 166 (94%) |
Resection R0 * | 1047 (91%) | 394 (95%) | 496 (87%) | 157 (92%) |
Operation within 14 days after diagnosis | 285 (24%) | 128 (30%) | 145 (25%) | 12 (7%) |
Radiation | 850 (33%) | 92 (17%) | 286 (36%) | 202 (52%) |
Curative intention | 552 (95%) | 90 (98%) | 268 (94%) | 194 (96%) |
Premature termination | 25 (4%) | 5 (5%) | 11 (4%) | 9 (4%) |
Neoadjuvant | 452 (78%) | 67 (73%) | 215 (75%) | 170 (84%) |
Chemotherapy | 698 (40%) | 87 (16%) | 428 (54%) | 183 (47%) |
Curative intention | 458 (69%) | 68 (72%) | 280 (69%) | 110 (65%) |
Premature termination | 152 (22%) | 10 (11%) | 1127 (26%) | 30 (16%) |
Neoadjuvant | 310 (44%) | 41 (47%) | 175 (41%) | 94 (51%) |
Immune/Antibody-therapy | 99 (14%) | 2 (2%) | 79 (18%) | 18 (10%) |
cytostatic agents used: | ||||
Antimetabolic | 672 (96%) | 85 (98%) | 410 (96%) | 177 (97%) |
Platin-based | 333 (48%) | 29 (33%) | 217 (51%) | 110 (60%) |
Topoisomerase inhibitors | 115 (16%) | 2 (2%) | 90 (21%) | 23 (13%) |
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Share and Cite
Katalinic, A.; Halber, M.; Meyer, M.; Pflüger, M.; Eberle, A.; Nennecke, A.; Kim-Wanner, S.-Z.; Hartz, T.; Weitmann, K.; Stang, A.; et al. Population-Based Clinical Cancer Registration in Germany. Cancers 2023, 15, 3934. https://doi.org/10.3390/cancers15153934
Katalinic A, Halber M, Meyer M, Pflüger M, Eberle A, Nennecke A, Kim-Wanner S-Z, Hartz T, Weitmann K, Stang A, et al. Population-Based Clinical Cancer Registration in Germany. Cancers. 2023; 15(15):3934. https://doi.org/10.3390/cancers15153934
Chicago/Turabian StyleKatalinic, Alexander, Marco Halber, Martin Meyer, Maren Pflüger, Andrea Eberle, Alice Nennecke, Soo-Zin Kim-Wanner, Tobias Hartz, Kerstin Weitmann, Andreas Stang, and et al. 2023. "Population-Based Clinical Cancer Registration in Germany" Cancers 15, no. 15: 3934. https://doi.org/10.3390/cancers15153934
APA StyleKatalinic, A., Halber, M., Meyer, M., Pflüger, M., Eberle, A., Nennecke, A., Kim-Wanner, S. -Z., Hartz, T., Weitmann, K., Stang, A., Justenhoven, C., Holleczek, B., Piontek, D., Wittenberg, I., Heßmer, A., Kraywinkel, K., Spix, C., & Pritzkuleit, R. (2023). Population-Based Clinical Cancer Registration in Germany. Cancers, 15(15), 3934. https://doi.org/10.3390/cancers15153934