| Literature DB >> 32411599 |
Massimiliano Berretta1, Luca Rinaldi2, Rosaria Taibi1, Paolo Tralongo3, Alberto Fulvi4, Vincenzo Montesarchio5, Giordano Madeddu6, Paolo Magistri7, Sabrina Bimonte8, Marco Trovò9, Patrizia Gnagnarella10, Arturo Cuomo8, Marco Cascella8, Arben Lleshi1, Guglielmo Nasti11, Sergio Facchini12, Francesco Fiorica13, Raffaele Di Francia14, Giuseppe Nunnari15, Giovanni Francesco Pellicanò15, Aurelio Guglielmino16, Marco Danova17, Sabrina Rossetti18, Alfonso Amore19, Anna Crispo20, Gaetano Facchini18.
Abstract
Purpose: Complementary and Alternative Medicine (CAM) interventions are widely used by patients with chronic disorders, including cancer, and may interact with cancer treatment. Physicians are often unaware of this, probably due to poor patient-physician communication on CAM. The purpose of this study was to evaluate physicians' knowledge, attitudes and practice patterns regarding CAM in a survey conducted in Italy.Entities:
Keywords: Italian survey; alternative medicine; attitudes; cancer; complementary medicine; physicians; treatment
Year: 2020 PMID: 32411599 PMCID: PMC7202223 DOI: 10.3389/fonc.2020.00594
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Most common CAM interventions adopted by cancer patients and possible interactions with AC.
| Active hexose-correlated compound isolated from shiitake mushrooms | CYP2D6 induction | May reduce the activity of ADM, which is a substrate of this enzyme, and of AIs | Diarrhea and itching | ( |
| Ananas Pineapple (bromelain) | CYP2C9 inhibition | Risk of overdosage in patients treated with TXL | Exacerbation of hand and foot syndrome | ( |
| β-carotene | Alcohol consumption has an adverse effect on β-carotene activity | The hepatotoxic effects of ethanol may be potentiated by high-dose β-carotene | ( | |
| B-elemene (terpene from | Increased DDP and taxane activity | No adverse events recorded | ( | |
| Bitter melon ( | P-gp and CYP2C9 inhibition | Increased intracellular concentration VBL and TXL | No adverse events were recorded | ( |
| Turmeric ( | Weak CYP1A2, CYP2B6, CYP2C9, and CYP2D6 inhibition | Risk of overdosage in patients treated with bendamustine and inefficacy of prodrugs (CTX, TAM) | Allergic dermatitis and bile duct obstruction | ( |
| Cannabinoids | CYP2C9 induction | Risk of overdosage in patients treated with prodrugs (CTX, TAM) | Gastrointestinal complaints | ( |
| Di Bella multitherapy | GH inhibition, enhances IGF-binding protein-1 secretion | The opioid antagonist properties of somatostatin reduce the analgesic effect of opioids in patients with advanced cancer | Gastrointestinal complaints | ( |
| Potent CYP3A4 inhibition | Improved pharmacokinetics of CTX, DAS, TXT, ERL, IMT, SOR (weak) VALK (high), and VP16 | Severe thrombocytopaenia in a patient receiving VP16 | ( | |
| Essiac | CYP3A4 inhibition | Risk of overdosage in patients treated with BTZ, DAS, TXT, ERL, IMT, SOR, VALK | Gastrointestinal complaints | ( |
| Folic acid | MTHFR-enhancing activity | Improved activity of antimetabolite drugs (5-Fu) | Concurrent use of folic acid may antagonize the effects of certain anticonvulsants | ( |
| Glucans from mushrooms | EGFr and mTOR inhibition | May antagonize TAM in patients with estrogen-positive breast cancer | Immunosuppressive effects | ( |
| Green tea | CYP3A4 inhibition | Similar to Essiac | High ALT levels | ( |
| CYP3A4 CYP2C19, P-gp | Similar to Essiac | Nervousness | ( | |
| Ginseng | CYP3A4 inhibition | Increased risk of IMT hepatotoxicity | High ALT levels | ( |
| Glutathione | GSH, GSTP1 | Increased AC detoxification | Mucosal hypersecretion | ( |
| Grapefruit (including juice) | CYP3A4 inhibition | Not recommended during ADM due to oxidations | Gastrointestinal complaints | ( |
| Liquorice | weak CYP2B6, CYP3A4 inhibition | Similar to Essiac (weak) | Hypertension, retinopathy and nephropathy | ( |
| Milk thistle | Weak CYP2C8 and CYP2C9 inhibition | Risk of overdosage in patients taking CTX, TXL | No adverse events recorded | ( |
| Oleander | P-gp and mTOR inhibition | May increase the blood levels of substrate drugs such as TKIs. | Gastrointestinal complaints | ( |
| Omega 3 | p53 | Reduces platin activity | Platin-drug resistance | ( |
| Ozone therapy | ND | Not recommended during ADM due to oxidation | ND | ( |
| Quercetin | Strong CYP3A4 and CYP2C19 inhibition | Similar to Essiac | High ALT levels | ( |
| Resveratrol | CYP3A4, CYP2D6, CYP2C9, inhibition | Protective effects against DDP- and ADM-induced cardiotoxicity, due to upregulation of SIRT1-mediated p53 deacetylation | No adverse events recorded | ( |
| Spirulina and blue-green algae | CYP 1A2 and 2E1 inhibitions | Induces accumulation of drugs metabolized by these enzymes, including bendamustine | Increases the risk of their side effects | ( |
| St. John's worth ( | CYP3A4 induction | Improved CTX, DAS, TXT, ERL, IMT, SOR, and VALK pharmacokinetics | Headache, dry mouth, sleepiness, gastrointestinal complaints | ( |
| Vitamin C | ND | May reduce the effectiveness of VCR, ADM, MTX, DDP, BTZ, IMT | Kidney stones | ( |
| Zeolite | Protein kinase B inhibition | Enhances the effect of ADM due to its antioxidant properties | Pulmonary fibrosis, leucocytosis | ( |
AC, Antiblastic chemotherapy; ADM, Doxorubicin; ALT, Alanine aminotransferase; BTZ, Bortezomib; CTX, Cyclophosphamide; CYP, Cytochrome P450; DAS, Dasatinib; DDP, Cisplatin; ERL, Erlotinib; 5-FU, Fluorouracil; IA, Aromatase inhibitors; IMT, Imatinib; MTX, Methotrexate; NA, Not available; ND, Not documented; P-gp, P-glycoprotein; SOR, Sorafenib; TAM, Tamoxifen; TXL, Paclitaxel; TXT, Docetaxel; VALK, Vinca alkaloids; VBL, Vinblastine; VCR, Vincristine; VP16, Etoposide.
.
Herbal mixture patented as a cancer therapy by Rene Caisse in 1920 in Canada.
Grifula frondosa (maitake), Lentinula edodes (shiitake), Ganoderma lucidum (reishi), etc.
Somatostatin, Bromocriptine, Fluvoxamine, Melatonin.
Gastrointestinal complaints: diarrhea, vomiting, and nausea.
Personal and professional data of participants.
| Male | 220 | 50.2 |
| Female | 218 | 49.8 |
| <40 years | 189 | 43.2 |
| 40–65 years | 239 | 54.6 |
| 65 years | 9 | 2.1 |
| Missing | 1 | 0.2 |
| Medical degree | 112 | 25.6 |
| Medical degree + specialization | 224 | 55.7 |
| Medical degree + specialization + Ph.D. | 22 | 5 |
| Master's degree | 12 | 2.7 |
| Other | 48 | 11 |
| G1 | 177 | 40.4 |
| G2 | 111 | 25.3 |
| G3 | 66 | 15.1 |
| G4 | 84 | 19.2 |
| <5 years | 118 | 26.9 |
| 5–10 years | 70 | 16.0 |
| > 10 years | 209 | 47.7 |
| Missing | 41 | 9.4 |
| Research hospital | 134 | 30.6 |
| University | 194 | 44.3 |
| General hospital | 110 | 25.1 |
| North | 125 | 28.5 |
| Center | 47 | 10.7 |
| South and Islands | 266 | 60.7 |
G1: Oncology, Hematology, Pain management, Radiotherapy, Anaesthesiology.
G2: Internal medicine, Geriatric medicine, Infectious diseases.
.
Key questions.
| Yes | 240 | 54.8 |
| No | 198 | 45.2 |
| Yes | 223 | 50.9 |
| No | 215 | 49.1 |
| Yes | 342 | 78.6 |
| No | 93 | 21.4 |
| Yes | 159 | 36.3 |
| No | 194 | 44.3 |
| I don't know | 85 | 19.4 |
| Yes | 241 | 55 |
| No | 197 | 45 |
| Yes | 193 | 44.1 |
| No | 212 | 48.4 |
| I don't know | 33 | 7.5 |
| Yes | 183 | 41.8 |
| No | 100 | 22.8 |
| I don't know | 155 | 35.4 |
| Yes | 203 | 46.3 |
| No | 180 | 41.1 |
| I don't know | 55 | 12.6 |
| Psychophysical well-being | 95 | 46.8 |
| Attenuation of treatment side-effects | 53 | 26.1 |
| Improved response rate | 11 | 5.4 |
| Response 1+2 | 18 | 8.9 |
| Response 1+3 | 13 | 6.4 |
| Response 1+2+3 | 13 | 6.4 |
| Yes | 112 | 27.7 |
| No | 292 | 72.3 |
Physicians' characteristics and their CAM knowledge according to their specialty.
| 0.5 | 0.06 | 0.2 | |||||
| Female | 88 (49.7) | 59 (53.2) | 24 (36.4) | 49 (58.3) | |||
| Male | 89 (50.3) | 52 (46.8) | 42 (63.6) | 35 (41.7) | |||
| 0.6 | 0.6 | ||||||
| <40 years | 66 (37.3) | 66 (59.5) | 29 (43.9) | 28 (33.3) | |||
| 40–65 years | 107 (60.5) | 43 (38.7) | 35 (53) | 55 (65.5) | |||
| 65 years | 4 (2.3) | 2 (1.8) | 2 (3) | 1 (1.2) | |||
| 0.1 | 0.5 | ||||||
| <5 years | 39 (23.2) | 51 (52.6) | 8 (16.7) | 20 (23.8) | |||
| 5–10 years | 36 (21.4) | 5 (5.2) | 6 (12.5) | 23 (27.4) | |||
| ≥10 years | 93 (55.4) | 41 (42.3) | 34 (70.8) | 41 (48.8) | |||
| 0.8 | 0.8 | ||||||
| Northern Italy | 61 (34.5) | 17 (15.3) | 21 (31.8) | 26 (31) | |||
| Central Italy | 20 (11.3) | 9 (8.1) | 7 (10.6) | 11 (13.1) | |||
| Southern Italy | 96 (54.2) | 85 (76.6) | 38 (57.6) | 47 (56) | |||
| Research hospital | 75 (42.4) | 8 (7.2) | 15 (22.7) | 36 (42.9) | |||
| University | 47 (26.6) | 72 (64.9) | 39 (59.1) | 36 (42.9) | |||
| General hospital | 55 (31.1) | 31 (27.9) | 12 (18.2) | 12 (14.3) | |||
| 0.9 | 0.9 | ||||||
| Yes | 106 (59.9) | 44 (39.6) | 40 (60.6) | 50 (59.5) | |||
| No | 71 (40.1) | 67 (60.4) | 26 (39.4) | 34 (40.5) | |||
| 0.1 | 0.3 | ||||||
| Yes | 102 (57.6) | 47 (42.3) | 31 (47) | 43 (51.2) | |||
| No | 75 (42.4) | 64 (57.7) | 35 (53) | 41 (48.8) | |||
| Yes | 154 (88) | 78 (70.3) | 50 (76.9) | 60 (71.4) | |||
| No | 21 (12) | 33 (29.7) | 15 (23.1) | 24 (28.6) | |||
| 0.1 | 0.06 | ||||||
| Yes | 58 (32.8) | 41 (36.9) | 32 (48.5) | 28 (33.3) | |||
| No | 92 (52) | 46 (41.4) | 24 (36.4) | 32 (38.1) | |||
| I don't know | 27 (15.3) | 24 (21.6) | 10 (15.2) | 24 (28.6) | |||
| 0.2 | 0.3 | 0.6 | |||||
| Yes | 102 (57.6) | 55 (49.5) | 33 (50) | 51 (60.7) | |||
| No | 75 (42.4) | 56 (50.5) | 33 (50) | 33 (39.3) | |||
| 0.2 | 0.1 | 0.1 | |||||
| Yes | 87 (49.2) | 51 (45.9) | 25 (37.9) | 30 (35.7) | |||
| No | 74 (41.8) | 55 (49.5) | 37 (56.1) | 46 (54.8) | |||
| I don't know | 16 (9) | 5 (4.5) | 4 (6.1) | 8 (9.5) | |||
| 0.3 | 0.09 | ||||||
| Yes | 86 (48.6) | 37 (33.3) | 26 (39.4) | 34 (40.5) | |||
| No | 33 (18.6) | 38 (34.2) | 18 (27.3) | 11 (13.1) | |||
| I don't know | 58 (32.8) | 36 (32.4) | 22 (33.3) | 39 (46.4) | |||
| 0.9 | 0.4 | 0.3 | |||||
| Alternative medicine | 11 (6.2) | 10 (9) | 2 (3) | 4 (4.8) | |||
| Complementary therapy | 88 (49.7) | 55 (49.5) | 34 (51.5) | 42 (50) | |||
| Integrated medicine | 40 (22.6) | 26 (23.4) | 18 (27.3) | 23 (27.4) | |||
| I don't know | 38 (21.5) | 20 (18) | 12 (18.2) | 15 (17.9) | |||
| 0.7 | 0.6 | 0.7 | |||||
| Yes | 43 (25.9) | 27 (25.5) | 19 (31.7) | 23 (31.9) | |||
| No | 123 (74.1) | 79 (74.5) | 41 (68.3) | 49 (68.1) | |||
P1; P2; P3: p-values of Pearson's chi-square test comparing G1 physicians with G2 physicians (P1); with G2 physicians (P2); and with G3 physicians (P3).
Bold values indicate statistically significant p-value.
CAM knowledge in relation to participants' involvement in research activity.
| 0.6 | |||
| Yes | 120 (50) | 103 (52) | |
| No | 120 (50) | 95 (48) | |
| Yes | 199 (82.9) | 143 (73.3) | |
| No | 41 (17.1) | 52 (26.7) | |
| Yes | 152 (63.6) | 106 (53.8) | |
| No | 87 (36.4) | 91 (46.2) | |
| Yes | 143 (59.6) | 98 (49.5) | |
| No | 97 (40.4) | 100 (50.5) | |
| Yes | 109 (45.4) | 74 (37.4) | |
| No | 43 (17.9) | 57 (28.8) | |
| I don't know | 88 (36.7) | 67 (33.8) | |
| 0.1 | |||
| Yes | 108 (45) | 85 (42.9) | |
| No | 109 (45.4) | 103 (52) | |
| I don't know | 23 (9.6) | 10 (5.1) | |
| G1 | 106 (44.2) | 71 (35.9) | |
| G2 | 44 (18.3) | 67 (33.8) | |
| G3 | 40 (16.7) | 26 (13.1) | |
| G4 | 50 (20.8) | 34 (17.2) | |
.
Bold values indicate statistically significant p-value.
Odds ratio (OR) and 95% confidence intervals (CIs) computed to assess the attitudes toward CAM of G1 physicians (specialties: Oncology, Hematology, Pain management, Radiotherapy, Anaesthesiology).
| Yes | 1.52 (1.02–2.25) | |
| No | 1.00 (Reference category) | |
| Yes | 2.64 (1.54–4.52) | |
| No | 1.00 | |
| Yes | 1.77 (1.18–2.68) | |
| No | 1.00 | |
| Yes | 1.16 (0.79–1.72) | 0.4 |
| No | 1.00 | |
| Yes | 1.47 (0.93–2.32) | 0.09 |
| No | 1.00 |
Logistic regression model adjusted for age, gender, area of origin and workplace.
Bold values indicate statistically significant p-value.
Figure 1Type of CAM interventions known to participants in relation to specialty group.
Figure 2Physicians answer to the question “To whom would you suggest using CAM?”.
Figure 3Participants' perception of the value of CAM interventions in relation to their specialty group.