| Literature DB >> 34559295 |
Katharina Knoll1, Elisabeth Reiser1,2, Katharina Leitner1, Johanna Kögl1, Christoph Ebner1, Christian Marth1, Irina Tsibulak3.
Abstract
PURPOSE: The aim of the present study was to assess the impact of postponed screening examinations and lockdown measures on gynecological and breast cancer diagnoses throughout the year 2020 in a gynecological oncological center in Austria.Entities:
Keywords: Breast cancer; COVID-19; Carcinoma; Gynecology; Neoplasms
Mesh:
Year: 2021 PMID: 34559295 PMCID: PMC8460407 DOI: 10.1007/s00404-021-06259-5
Source DB: PubMed Journal: Arch Gynecol Obstet ISSN: 0932-0067 Impact factor: 2.344
Breast cancer patients’ characteristics
| Parameter | 16 Mar –30 Apr and 3 Nov–31 Dec 2019 | 16 Mar –30 Apr and 3 Nov–31 Dec 2020 | Difference (%) | 1 May–2 Nov 2019 | 1 May–2 Nov 2020 | Difference (%) | ||
|---|---|---|---|---|---|---|---|---|
| Breast cancer patients diagnosed | ||||||||
| Number of patients | 115 | 55 | − 52% | 148 | 157 | +6% | ||
| Age, median (range) | 63 (32–90) | 60 (28–93) | − 5% | 59 (21–90) | 62 (25–96) | + 5% | ||
| Reported tumor-associated symptoms at diagnosis | ||||||||
| No | 78 (68%) | 25 (45%) | − 23% | |||||
| Yes | 36 (31%) | 30 (55%) | +24% | 48 (32%) | 75 (48%) | +16% | ||
| Unknown | 1 (1%) | 0 (0%) | 2 (1%) | 1 (1%) | ||||
| Referral of patients | ||||||||
| Patients themselves without symptoms | 4 (3%) | 1 (2%) | − 1% | |||||
| Patients themselves with symptoms | 13 (11%) | 12 (21%) | +10% | 11 (8%) | 16 (10%) | +2% | ||
| Specialist | 94 (82%) | 40 (73%) | -9% | 123 (83%) | 131 (84%) | +1% | ||
| General practitioner | 3 (3%) | 1 (2%) | − 1% | 5 (3%) | 2 (1%) | − 2% | ||
| Emergency | 0 (0%) | 1 (2%) | +2% | 0 (0%) | 0 (0%) | 0% | ||
| Unknown | 1 (1%) | 0 (0%) | 2 (1%) | 0 (0%) | ||||
| Leading comorbidities | ||||||||
| None | 55 (47%) | 35 (64%) | +17% | 84 (57%) | 83 (53%) | − 4% | ||
| Cardiovascular disease | 28 (24%) | 10 (18%) | -6% | 22 (15%) | 38 (24%) | +9% | ||
| Malignant disease | 6 (5%) | 5 (9%) | +4% | 13 (9%) | 14 (9%) | 0% | ||
| Respiratory disease | 4 (4%) | 0 (0%) | − 4% | 6 (4%) | 8 (5%) | +1% | ||
| Infectious disease | 0 (0%) | 0 (0%) | 0% | 4 (3%) | 2 (1%) | − 2% | ||
| Rheumatic disease | 2 (2%) | 1(2%) | 0% | 0 (0%) | 0 (0%) | 0% | ||
| Endocrine and metabolic | 16 (14%) | 1 (2%) | -12% | 15 (10%) | 6 (4%) | − 6% | ||
| Psychiatric disorders | 2 (2%) | 3 (5%) | +3% | 3 (2%) | 3 (2%) | 0% | ||
| Others | 1 (1%) | 0 (0%) | − 1% | 1 (1%) | 0 (0%) | − 1% | ||
| Unknown | 1 (1%) | 0 (0%) | 0 (0%) | 3 (2%) | ||||
| Frontline therapy | ||||||||
| Surgery | 82 (71%) | 33 (60%) | − 11% | 97 (66%) | 98 (62%) | − 4% | ||
| Neoadjuvant chemotherapy | 20 (17%) | 15 (27%) | +10% | 30 (20%) | 35 (22%) | +2% | ||
| Neoadjuvant endocrine therapy | 10 (9%) | 5 (9%) | 0% | 15 (10%) | 19 (12%) | +2% | ||
| Radiotherapy | 0 (0%) | 0 (0%) | 0% | 0 (0%) | 0 (0%) | 0% | ||
| Palliative therapy | 3 (3%) | 2 (4%) | +1% | 6 (4%) | 4 (3%) | − 1% | ||
| Tumor stage | ||||||||
| Tis | 10 (9%) | 2 (4%) | -5% | 14 (9%) | 11 (7%) | − 2% | ||
| T1 | 72 (62%) | 24 (43%) | − 19% | 78 (53%) | 81 (52%) | − 1% | ||
| T2 | 17 (15%) | 13 (24%) | +9% | 34 (23%) | 33 (21%) | − 2% | ||
| T3 | 7 (6%) | 6 (11%) | +5% | 13 (9%) | 23 (15%) | +6% | ||
| T4 | 1 (1%) | 3 (6%) | +5% | 7 (5%) | 7 (4%) | − 1% | ||
| Unknown | 8 (7%) | 7 (12%) | 2 (1%) | 2 (1%) |
16 March 2020–30 April 2020 and 3 November 2020–31 December 2020 refers to the lockdown periods 1 and 2, respectively. 1 May 2020–2 November 2020 refers to the time between the two lockdowns
*Mann–Whitney U test
†χ2 test
Gynecological cancer patients’ characteristics
| Parameter | 16 Mar–30 Apr 30 and 3 Nov–31 Dec 2019 | 16 Mar–30 Apr 30 and 3 Nov–31 Dec 2020 | Difference (%) | 1 May–2 Nov 2019 | 1 May–2 Nov 2020 | Difference (%) | ||
|---|---|---|---|---|---|---|---|---|
| Gynecological cancer patients diagnosed | ||||||||
| Number of patients | 29 | 16 | − 45% | 102 | 57 | − 44% | ||
| Age, median (range) | 60 (34–83) | 66 (28–93) | + 10% | 61 (25–96) | 62 (30–95) | + 1% | ||
| Reported tumor-associated symptoms at diagnosis | ||||||||
| No | 5 (17%) | 1 (6%) | − 11% | + 11% | ||||
| Yes | 16 (55%) | 12 (75%) | + 20% | 60 (59%) | 34 (60%) | + 1% | ||
| Unknown | 8 (28%) | 3 (19%) | 19 (19%) | 4 (7%) | ||||
| Referral of patients | ||||||||
| Patients themselves without symptoms | 1 (3%) | 0 (0%) | − 3% | 0 (0%) | 0 (0%) | 0% | ||
| Patients themselves with symptoms | 0 (0%) | 0 (0%) | 0% | 3 (3%) | 16 (28%) | + 25% | ||
| Specialist | 20 (69%) | 13 (81%) | + 12% | 79 (78%) | 40 (70%) | − 8% | ||
| General practitioner | 2 (8%) | 3 (19%) | + 11% | 6 (6%) | 1 (2%) | − 4% | ||
| Emergency | 3 (10%) | 0 (0%) | − 10% | 2 (2%) | 0 (0%) | − 2% | ||
| Unknown | 3 (10%) | 0 (0%) | 12 (11%) | 0 (0%) | ||||
| Comorbidities | ||||||||
| None | 6 (20%) | 3 (19%) | − 1% | 28 (28%) | 26 (46%) | -18% | ||
| Yes | 16 (55%) | 11 (69%) | − 14% | 53 (52%) | 29 (51%) | -1% | ||
| Unknown | 7 (25%) | 2 (12%) | 21 (20%) | 2 (3%) | ||||
| Frontline therapy | ||||||||
| Operation | 22 (75%) | 10 (63%) | − 12% | 68 (66%) | 43 (74%) | + 8% | ||
| Neoadjuvant chemotherapy | 3 (11%) | 3 (19%) | + 8% | 17(17%) | 8 (14%) | − 3% | ||
| Neoadjuvant endocrine therapy | 0 (0%) | 0 (0%) | 0% | 0 (0%) | 0 (0%) | 0% | ||
| Radiation | 0 (0%) | 0 (0%) | 0% | 2 (2%) | 1 (2%) | 0% | ||
| Combined chemoradiation | 3 (11%) | 1 (6%) | -5% | 11 (11%) | 2 (4%) | − 7% | ||
| COVID associated treatment delay | 0 (0%) | 0 (0%) | 0% | 0 (0%) | 0 (0%) | 0% | ||
| Palliative therapy | 0 (0%) | 1 (6%) | + 6% | 3 (3%) | 2 (4%) | + 1% | ||
| Unknown | 1 (3%) | 1 (6%) | 1 (1%) | 1 (2%) | ||||
| Diagnosis | ||||||||
| Ovarian cancer | 13 (45%) | 9 (56%) | + 11% | 40 (39%) | 23 (40%) | + 1% | ||
| Endometrial cancer | 7 (24%) | 6 (38%) | + 14% | 29 (28%) | 19 (33%) | + 5% | ||
| Cervical cancer | 5 (18%) | 1 (6%) | − 12% | 19 (19%) | 5 (9%) | − 10% | ||
| Vulva cancer | 2 (7%) | 0 (0%) | − 7% | 6 (6%) | 6 (10%) | + 4% | ||
| Sarcoma | 1 (3%) | 0 (0%) | − 3% | 4 (4%) | 2 (4%) | 0% | ||
| Others | 1 (3%) | 0 (0%) | − 3% | 4 (4%) | 2 (4%) | 0% | ||
| FIGO stage ovarian cancer | ||||||||
| I | 3 (23%) | 1 (11%) | − 12% | 12 (30%) | 6 (26%) | − 4% | ||
| II | 1 (7%) | 0 (0%) | − 7% | 1 (3%) | 1 (4%) | + 1% | ||
| III | 7 (55%) | 5 (56%) | + 1% | 19 (48%) | 10 (44%) | − 4% | ||
| IV | 2 (15%) | 0 (0%) | − 15% | 6 (15%) | 6 (26%) | + 11% | ||
| Unknown | 0 (0%) | 3 (33%) | 2 (4%) | 0 (0%) | ||||
| FIGO stage endometrial cancer | ||||||||
| I | 7 (100%) | 5 (83%) | − 17% | 23 (80%) | 16 (85%) | + 5% | ||
| II | 0 (0%) | 0 (0%) | 0% | 1 (3%) | 2 (10%) | + 7% | ||
| III | 0 (0%) | 0 (0%) | 0% | 0 (0%) | 1 (5%) | + 5% | ||
| IV | 0 (0%) | 0 (0%) | 0% | 3 (10%) | 0 (0%) | -10% | ||
| Unknown | 0 (0%) | 1 (17%) | 2 (7%) | 0 (0%) | ||||
16 March 2020–30 April 2020 and 3 November 2020–31 December 2020 refers to the lockdown periods 1 and 2, respectively. 1 May 2020–2 November 2020 refers to the time between the two lockdowns
*Mann–Whitney U test
†χ2 test
Fig. 1Impact of COVID-19 lockdown on newly diagnosed cancers. Numbers of newly diagnosed breast and gynecological cancers per month in 2020 compared to the same periods in 2019. Pre-lockdown refers to 1 January–15 March, lockdown 1 to 16 March– 30 April, between lockdowns to 1 May–2 November and lockdown 2 to 3 November–31 December