| Literature DB >> 32307443 |
Victorine H Roos1, Frank G J Kallenberg1, Manon van der Vlugt1, Evelien J C Bongers2, Cora M Aalfs3, Patrick M M Bossuyt4, Evelien Dekker5.
Abstract
BACKGROUND: Faecal immunochemical testing (FIT) is suboptimal in detecting advanced neoplasia (AN). To increase the sensitivity and yield of a FIT-based screening programme, FIT could be combined with risk factors for AN. We evaluated the incremental yield of adding a family history questionnaire (FHQ) on colorectal cancer (CRC) and Lynch syndrome-associated tumours to the Dutch FIT-based screening programme.Entities:
Mesh:
Year: 2020 PMID: 32307443 PMCID: PMC7283285 DOI: 10.1038/s41416-020-0832-8
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Fig. 1Flowchart of study population.
Demographics.
| Invitees, | Participants FIT only, | Participants FIT and FHQ, | Participants FHQ only, | Non-participants, | ||
|---|---|---|---|---|---|---|
| Year of birth | ||||||
| 1941 | 769 (12.9%) | 290 (14.8%) | 256 (10.8%) | 10 (10.5%) | 213 (13.7%) | 0.02 |
| 1945 | 967 (16.2%) | 314 (16.1%) | 385 (16.2%) | 18 (18.9%) | 250 (16.1%) | |
| 1953 | 1329 (22.2%) | 429 (22.0%) | 564 (23.7%) | 21 (22.1%) | 315 (20.3%) | |
| 1955 | 1422 (23.8%) | 441 (22.6%) | 584 (24.5%) | 24 (25.3%) | 373 (24.0%) | |
| 1957 | 1492 (24.9%) | 478 (24.5%) | 590 (24.8%) | 22 (23.2%) | 402 (25.9%) | |
| Sex | ||||||
| Male | 2957 (49.5%) | 906 (46.4%) | 1180 (49.6%) | 47 (49.5%) | 824 (53.1%) | 0.002 |
| Female | 3022 (50.5%) | 1046 (53.6%) | 1199 (50.4%) | 48 (50.5%) | 729 (46.9%) | |
| Socioeconomicb status | ||||||
| Low | 193 (3.2%) | 74 (3.8%) | 55 (2.3%) | 5 (5.3%) | 59 (3.8%) | 0.007 |
| Average | 1657 (27.7%) | 542 (27.7%) | 677 (28.5%) | 19 (20.0%) | 419 (27.0%) | |
| High | 1543 (25.8%) | 513 (26.3%) | 588 (24.7%) | 22 (23.2%) | 420 (27.0%) | |
| Very high | 2401 (40.2%) | 763 (39.1%) | 1000 (42.0%) | 48 (50.5%) | 590 (38.0%) | |
| Missing | 185 (3.1%) | 60 (3.1%) | 59 (2.5%) | 1 (1.0%) | 65 (4.2%) | |
ap Values were calculated using Chi-square test statistic, comparing participants in the three groups and non-participants, excluding missing.
bBased on postal code areas.
Fig. 2Study enrollment.
Colonoscopy outcomes: combined strategy versus FIT-only strategy.
| Combined strategy ( | FIT-only strategy ( | ||
|---|---|---|---|
| Detection rate (%)b | |||
| CRC | 14/216 (6.5%) | 14/200 (7.0%) | 0.99 |
| Advanced adenoma | 103/216 (47.7%) | 102/200 (51.0%) | 0.56 |
| Advanced neoplasia | 117/216 (54.2%) | 116/200 (58.0%) | 0.49 |
| Non-advanced lesions | |||
| Non-advanced adenoma | 49/216 (22.4%) | 42/200 (21%) | 0.77 |
| SSL+others | 21/216 (9.7%) | 18/200 (9.0%) | 0.93 |
| No lesions | 29/216 (13.4%) | 24/200 (12.0%) | 0.77 |
| Positive predictive value (%)c | |||
| CRC | 14/359 (4% (2–6%)) | 14/234 (6% (3–10%)) | 0.33 |
| Advanced adenoma | 103/359 (29% (24–34%)) | 102/234 (44% (37–50%)) | <0.01 |
| Advanced neoplasia | 117/359 (33% (28–38%) | 116/234 (50% (43–56%)) | <0.01 |
CRC colorectal cancer, SSL sessile serrated lesion.
ap Values were calculated using the Chi-square test.
bDetection rates were defined as the most advanced lesion per participant relative to all colonoscopies performed.
cPositive predictive value was defined as the number of participants with CRC, advanced adenoma or advanced neoplasia relative to the number of positive tests.
Fig. 3Genetic counselling results.