| Literature DB >> 35971100 |
Arne Kroidl1,2, John Rwegoshora France3, Laura Glasmeyer1,4, Ruby Doryn Mcharo5, Liset Torres6, Tessa Lennemann1,5, Elizabeth Danstan5, Nice Mwinuka5, Mona Judick1,4, William Mueller6, Wilbert Mbuya5, Michael Hölscher1,2, Ralph Lellé7, Christof Geldmacher1,2.
Abstract
BACKGROUND: Worldwide 85% of cervical cancer (CC) related deaths occur in low- and middle-income countries. Sub-Saharan Africa is burdend by an overlapping high incidence of CC as well as HIV infection, a risk factor for HPV associated disease progression. Recent upscaling of CC screening activities increased the number of CC diagnoses in a previous unscreened population. The aim of the 2H study was to follow up on women with CC in the context of available health care services in Tanzania in relation to their HIV infection status.Entities:
Keywords: Cancer screening; Cancer-directed therapy (CDT); Cervical cancer; FIGO staging; HIV; Mortality; Tanzania
Mesh:
Year: 2022 PMID: 35971100 PMCID: PMC9377112 DOI: 10.1186/s12885-022-09966-7
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.638
Fig. 1Participant flow. All women diagnosed with cervical cancer between 2013 and 2019 (n = 270) were included for baseline assessment. For those with at least one follow-up visit or available outcome tracing information (n = 231) longitudinal assessment was performed
Baseline characteristics of HIV infected and non-infected women at the time of cervical cancer diagnosis
| Squamous Cell Carcinoma | 251 (93) | 117 (95.1) | 134 (91.2) |
| Adenocarcinoma | 16 (5.9) | 4 (3.3) | 12 (8.2) |
| No histology available | 3 (1.1) | 2 (1.6) | 1 (0.7) |
| Early stage I-IIA | 28 (10.4) | 16 (13.0) | 12 (8.2) |
| Advanced stage IIB-IIIB | 152 (56.3) | 71 (57.7) | 81 (55.1) |
| Late stage IV | 5 (1.9) | 1 (0.8) | 4 (2.7) |
| Missing information | 85 (31.5) | 35 (28.5) | 50 (34.0) |
| 49.8 (21–87) | 44.8 (21–76) | 55.9 (31–87) | |
| Single | 45 (1.9) | 3 (2.6) | 1 (0.7) |
| Married | 147 (54.4) | 55 (48.3) | 87 (59.2) |
| Widowed | 103 (38.2) | 48 (42.1) | 52 (35.4) |
| Divorced or separated | 15 (5.6) | 7 (6.1) | 7 (4.8) |
| Gravidity, median (range) | 6 (0–23) | 4 (0–13) | 7 (0–23) |
| Parity, median (range) | 5 (0–20) | 4 (0–12) | 6 (0–20) |
| No education | 106 (39.3) | 27 (22) | 79 (53.7) |
| Basic education | 153 (56.7) | 89 (72.4) | 64 (43.5) |
| Advanced education | 11 (4.1) | 7 (5.7) | 4 (2.7) |
| On ART | 88 (71.6) | ||
| -Years on ART, median (range) | 4,5 (0–20) | ||
| - < 1 year on ART | 15 (12.2) | ||
| - ≥ 1 year on ART | 62 (50.4) | ||
| Not on ART | 23 (18.7) | ||
| Not known | 12 (9.8) | ||
| Recent CD4 count, median (range) | 365 (11–1226) | ||
| - ≤ 200 cells/µl | 25 (20.3) | ||
| -200–349 cells /µl | 31 (25.2) | ||
| - ≥ 350 cells /µl | 68 (55.3) | ||
| Lowest CD4 count, median (range) | 231 (5–1158) | ||
| - < 200 cells /µl | 48 (39) | ||
| CD4 cell count not known | 5 (4.1) | ||
| Stages 1–2 | 90 (73,2) | ||
| Stages 3–4 | 19 (15.5) | ||
| Not known | 14 (11.4) | ||
| Any symptoms | 249 (92.2) | 110 (89,4) | 139 (94.6) |
| No symptoms | 21 (7.8) | 13 (10,6) | 8 (5.4) |
| Lower abdominal pain | 177 (65.6) | 79 (64,2) | 98 (66.7) |
| Abnormal vaginal discharge | 223 (82.6) | 96 (78.1) | 127 (86.4) |
| Abnormal menstrual bleeding | 62 (23) | 34 (27.6) | 28 (19.1) |
| -Intermenstrual bleeding | 39 (14.4) | 27 (22) | 12 (8.2) |
| -Prolonged menstrual bleeding | 29 (10.7) | 10 (8.1) | 19 (12.9) |
| Sexually active | |||
| -Post-coital bleeding | 60 (70.6) | 34 (73.9) | 26 (66.7) |
| -Pain during sex | 70 (82.4) | 38 (82.6) | 32 (82.1) |
Fig. 2HIV infected and non-infected women according to age and stage of cancer disease. A Distribution, proportion, and number of cases by FIGO stage stratified by HIV infected and non-infected women. B Distribution and proportion of age groups at the time of cervical cancer diagnosis stratified by HIV infected and non-infected women. HIV infected women were 12 years younger than non-infected participants than HIV non-infected women (median age 44.8 vs. 56.4 years, p < 0.001). Despite this difference in age at diagnosis no difference in cancer stage at diagnosis was seen
Fig. 3Numbers and proportions of participants receiving cancer-directed therapies (CDT) and palliative care by disease severity. Early-stage disease FIGO I to IIA, advanced stage disease FIGO IIB to IIIB, late-stage disease FIGO IV. No interventions indicate that participants did not receive or obtain any CDT nor palliative care as confirmed by tracing information
Fig. 4Kaplan Meier survival by FIGO stages. Significant lower survival estimates were seen with higher FIGO stages (p < 0.001)
Fig. 5Factors associated with 2-year cancer mortality.Shown as incidence rate ratios on death (IRR), calculated by robust Poisson regression. *Adjusted by FIGO stage