| Literature DB >> 35454061 |
Jesús Daniel Fernández de Castro1, Franco Baiocchi Ureta2, Raquel Fernández González3, Noel Pin Vieito1, Joaquín Cubiella Fernández1.
Abstract
The use of the faecal immunochemical test (FIT) to stratify the risk of colorectal cancer (CRC) in symptomatic patients in primary healthcare enables improved referrals to colonoscopy. However, its effect on diagnostic delays or the prognosis of patients has been poorly evaluated in this setting. We performed a retrospective cohort study that included symptomatic patients with outpatient CRC diagnosis between 2009 and 2017. We identified whether FIT had been analysed between initial healthcare contact and diagnostic confirmation. We included 589 patients (male = 65%, 71.7 ± 11.6 years, TNM IV = 17.1%) in the analysis. FIT was performed in 411 (69.8%) patients with a positive result (≥10 µg/g of faeces) in 96.4% of the evaluated patients. The use of FIT was associated with increased diagnostic delay (yes = 159 ± 277 days, no = 111 ± 172 days; p = 0.01). At five years follow up, 193 (32.8%) patients died (151 due to CRC). Mean survival was not modified by the use of FIT or its result (not performed = 46.8 ± 1.5 months, FIT+ = 48.9 ± 1 months, FIT- = 45.6 ± 5.5 months; p = 0.5) in Kaplan-Meier analysis, and was confirmed later in multivariate Cox regression analysis. In conclusion, FIT determination in symptomatic patients in primary healthcare did not modify CRC prognosis.Entities:
Keywords: FIT; colorectal cancer; diagnosis; symptomatic
Year: 2022 PMID: 35454061 PMCID: PMC9025491 DOI: 10.3390/diagnostics12041013
Source DB: PubMed Journal: Diagnostics (Basel) ISSN: 2075-4418
Description of patients included in analysis.
| Entire Cohort (589) | |
|---|---|
| Age (years) | 71.7 ± 11.6 |
| Gender (males), n (%) | 383 (65) |
| FIT performed, n (%) | 411 (69.8) |
| FIT ≥ 10 µg/g faeces n (%) | 396 (96.4) |
| Referral to specialist, n (%) | 413 (70.2) |
| Colonoscopy from GP n (%) | 256 (43.4) |
| Diagnostic delay (days) | 145 ± 251 |
| CRC location, n (%) | |
| Rectum | 242 (41.1) |
| Left colon | 205 (34.8) |
| Right colon | 142 (24.1) |
| TNM, n (%) | |
| Stage I | 85 (14.4) |
| Stage II | 143 (24.3) |
| Stage III | 260 (44.1) |
| Stage IV | 101 (17.1) |
| Follow-up (months) | 47.1 ± 18.9 |
| Death, all causes, n (%) | 193 (32.8) |
| Death from CRC, n (%) | 151 (26.2) |
CRC, colorectal cancer; FIT, faecal immunochemical test; GP, general practitioner. Qualitative variables are expressed as number and percentage. Quantitative variables are expressed as mean and standard deviation.
Characteristics of cohorts.
| FIT Not Performed (n = 178) | FIT < 10 µg/g | FIT ≥ 10 µg/g |
| |
|---|---|---|---|---|
| Gender (male) | 109 (61.2%) | 12 (80%) | 262 (66.2%) | 0.2 |
| Age (years) | 70.88 ± 11.54 | 76.5 ± 7.15 | 71.94 ± 11.78 | 0.1 |
| Colonoscopy request from Primary Healthcare (yes) | 60 (35.1) | 4 (28.6) | 192 (50.8) | <0.001 |
| Referral to Secondary Healthcare (yes) | 137 (80.1) | 13 (92.9) | 245 (64.8) | <0.001 |
| Diagnostic delay (days) | 111.20 ± 171.84 | 273.07 ± 469.05 | 154.97 ± 267.18 | 0.02 |
1 Significance in univariate analysis using chi-squared test for qualitative variables and ANOVA test for quantitative variables. Quantitative variables expressed as mean and standard deviation. Qualitative variables expressed as number and percentage.
Effect of faecal immunochemical test on colorectal cancer location, stage, and prognosis.
| FIT Not Performed (n = 178) | FIT < 10 µg/g (n = 15) | FIT ≥ 10 µg/g (n = 396) |
| |
|---|---|---|---|---|
| CRC location, n (%) Rectum Distal to splenic angle Proximal to splenic angle | 91 (51.1%) | 5 (33.3%) | 146 (36.9%) | <0.001 |
| TNM, n (%) Stage I Stage II Stage III Stage IV | 24 (13.5%) | 1 (6.7%) | 60 (15.2%) | 0.7 |
| Five-year mortality, n (%) | 64 (35.9%) | 5 (33.3%) | 124 (31.3%) | 0.5 |
| Five-year CRC mortality, n (%) | 54 (30.9%) | 5 (33.3%) | 92 (23.7%) | 0.1 |
1 Significance in univariate analysis using chi-squared test for qualitative variables. CRC, colorectal cancer. Qualitative variables expressed as number and percentage. Quantitative variables expressed as mean and standard deviation.
Figure 1Survival curve of three cohorts calculated with Kaplan–Meier method.