| Literature DB >> 23590357 |
Angela Pang1, Shirlynn Ho, Soo-Chin Lee.
Abstract
BACKGROUND: With an aging population and an increasing number of elderly patients with cancer, it is essential for us to understand how cancer physicians approach the management and treatment of elderly cancer patients as well as their methods of cancer diagnosis disclosure to older versus younger patients in Singapore, where routine geriatric oncology service is not available.Entities:
Mesh:
Year: 2013 PMID: 23590357 PMCID: PMC3654995 DOI: 10.1186/1471-2318-13-35
Source DB: PubMed Journal: BMC Geriatr ISSN: 1471-2318 Impact factor: 3.921
Participants’ Demographics (n = 57)
| | | |
| Male | 36 | 63% |
| Female | 21 | 37% |
| | | |
| 21–30 | 9 | 16% |
| 31–40 | 35 | 61% |
| 41–50 | 11 | 19% |
| 51–60 | 2 | 4% |
| | | |
| Haematologist | 8 | 14% |
| Medical Oncologist | 39 | 68% |
| Radiation Oncologist | 10 | 18% |
| | | |
| Public | 51 | 89% |
| Private | 6 | 11% |
| | | |
| 1–5 yrs | 37 | 65% |
| 6–10 yrs | 7 | 12% |
| >10 yrs | 13 | 23% |
| | | |
| 5–25 | 17 | 30% |
| 26–50 | 27 | 47% |
| 51–70 | 5 | 9% |
| 71–99 | 4 | 7% |
| ≥100 | 4 | 7% |
| | | |
| 15–30% | 13 | 23% |
| 31–60% | 33 | 58% |
| 61–70% | 11 | 19% |
| 71–100% | 0 | 0% |
Factors affecting physicians’ decision for treatment of geriatric patients
| Performance status | 30 | 53% |
| Type of Cancer | 13 | 23% |
| Patient’s decision | 6 | 11% |
| Age | 3 | 5% |
| Performance status | 54 | 95% |
| Co-morbidities | 43 | 75% |
| Type of Cancer | 43 | 75% |
| Stage of Cancer | 43 | 75% |
| Patient’s decision | 30 | 53% |
| Age | 29 | 51% |
| Yes | 41 | 72% |
| No | 16 | 28% |
| 65–74 years old | 8 | 20% |
| 75–84 years old | 14 | 34% |
| 85 years old and above | 19 | 46% |
Response to clinical scenarios
| R-CHOP1 × 6 + Intrathecal Methotrexate | 26 | 47% |
| R-CVP2 × 6 | 21 | 38% |
| CHOP3 × 6 | 4 | 7% |
| Palliative radiotherapy | 3 | 6% |
| Best Supportive Care | 1 | 2% |
| RCHOP × 6 + Intrathecal Methotrexate | 45 | 82% |
| R-CVP × 6 | 7 | 13% |
| CHOP × 6 | 3 | 5% |
| Palliative radiotherapy | 0 | 0% |
| Best Supportive Care | 0 | 0% |
| Factors affecting treatment decision | | |
| Performance Status | 47 | 85% |
| Cancer type | 37 | 67% |
| Cancer stage | 20 | 36% |
| Patient decision | 16 | 29% |
| Co-morbidities | 15 | 27% |
| Age | 14 | 25% |
| Aromatase inhibitor × 5 years | 34 | 64% |
| Tamoxifen × 5 years | 8 | 15% |
| AC4 × 4 → T5 × 12, then endocrine treatment | 5 | 9% |
| CMF6 × 6, then endocrine treatment | 1 | 2% |
| FAC7 × 6, then endocrine treatment | 1 | 2% |
| Others | 4 | 8% |
| AC × 4 → T × 12, then endocrine treatment | 44 | 83% |
| FAC × 6, then endocrine treatment | 5 | 9% |
| CMF × 6, then endocrine treatment | 2 | 4% |
| Others | 2 | 4% |
| Aromatase inhibitor × 5 years | 0 | 0% |
| Tamoxifen × 5 years | 0 | 0% |
| Cancer Stage | 38 | 72% |
| Cancer Type | 32 | 60% |
| Performance Status | 25 | 47% |
| Age | 24 | 45% |
| Patient decision | 16 | 30% |
| Co-morbidities | 9 | 17% |
1R-CHOP: Rituximab, Cyclophosphamide, Doxorubicin, Vincristine and Prednisolone; 2R-CVP: Rituximab, Cyclophosphamide, Vincristine and Prednisolone; 3CHOP: Cyclophosphamide, Doxorubicin, Vincristine and Prednisolone; 4 AC: Doxorubicin and Cyclophosphamide; 5 T: Paclitaxel; 6CMF: Cyclophosphamide, Methotrexate and 5 Fluorouracil; 7FAC: 5 Flurouracil, Doxorubicin and Cyclophosphamide.
Two and four surveys each were incomplete for scenario 1 and scenario 2. Four participants who were haematologists were not familiar with treatment of breast cancer and opted not to fill in the section of the survey pertaining to the case scenario for breast cancer. Similarly, two oncologists opted not to fill in the lymphoma case scenario as they had limited experience treating patients with lymphoma.