Survival Rates of Patients Diagnosed with Colorectal Cancer in Costa Rica (2020-2021): A Retrospective Cohort Study at the Centro de Detección Temprana de Cáncer Gástrico ()
1. Introduction
CRC is a leading cause of cancer incidence and mortality worldwide, with marked regional differences driven by genetic, environmental, and healthcare factors [1] [2]. In CR, incidence has risen steadily, particularly after age 40, reflecting trends in other middle-income countries [3].
Despite the implementation of fecal immunochemical test (FIT)-based screening by the Costa Rican Social Security Fund (CCSS), a substantial proportion of cases are diagnosed at advanced stages, contributing to a national five-year survival rate of ~55% [4] [5].
This retrospective cohort study aimed to assess survival rates of CRC patients diagnosed at the CNDTCG in Cartago between 2020 and 2021. We evaluated demographic, clinical, and pathological characteristics, treatment modalities, and outcomes, and compared FIT-detected cases with those diagnosed through other pathways to determine their impact on stage at diagnosis and prognosis. Findings are intended to inform public health policy and improve CRC screening strategies in CR.
2. Methods
2.1. Study Design and Population
This retrospective cohort study evaluated survival outcomes and prognostic factors in patients diagnosed with CRC at the CNDTCG in Cartago, CR, between January 1, 2020, and December 31, 2021. The study included all consecutive patients with biopsy-confirmed CRC recorded in the institutional pathology registry during this period. Cases with incomplete clinical or pathological data or without histological confirmation were excluded.
2.2. Ethical Considerations
The study was approved by the Scientific Ethics Committee under protocol number HNN-DG-CEC-045-2025. All data were anonymized before analysis, and confidentiality was maintained in accordance with national regulations.
2.3. Data Collection and Processing
Clinical and pathological data were extracted from biopsy reports and hospital medical records. Data were entered into an Excel 97-2003 spreadsheet and analyzed using Stata version 18. Variables with missing values were analyzed by complete-case analysis; no data imputation was performed.
2.4. Variables and Definitions
Demographic variables included age, sex, and canton of residence. Clinical variables comprised symptoms at diagnosis (e.g., rectal bleeding, abdominal pain, weight loss), tumor localization, and TNM stage (6th edition). Tumor location was classified as right colon (cecum, ascending colon, hepatic flexure), left colon (descending colon, sigmoid colon), rectum, or anal canal/anus.
Treatment variables included type of surgical procedure (colectomy, colostomy, low anterior resection [LAR], abdominoperineal resection [APR], sigmoidectomy) and surgical approach (laparoscopic vs. open). Adjuvant therapy regimens included capecitabine monotherapy, FOLFOX, XELOX, chemoradiotherapy, and bevacizumab-based combinations. Postoperative complications were recorded and categorized by severity.
Lymph node involvement was classified as: none (0), low (1 - 3 nodes), moderate (4 - 6 nodes), or high (≥7 nodes). TNM stages were grouped into:
1) Early (Localized): Tis, T1, or T2; N0; M0.
2) Regional: T3, T4, N1, or N2; M0.
3) Advanced (Metastatic): M1, regardless of T or N.
4) Unclassified/Unknown: incomplete or missing TNM data.
2.5. Outcomes
The primary outcome was overall survival, defined as time from diagnosis to death from any cause or last follow-up. Disease-free survival was analyzed where applicable.
2.6. Statistical Analysis
Categorical variables were summarized as frequencies and percentages, and continuous variables as means with standard deviations or medians with interquartile ranges. Kaplan–Meier curves were generated to estimate survival probabilities. Cox proportional hazards regression was used to evaluate associations between prognostic variables and survival, reporting hazard ratios (HR) with 95% confidence intervals (CI).
Three models were constructed:
Model 1: adjusted for age, sex, and place of residence.
Model 2: additionally adjusted for treatment variables.
Model 3: included interaction terms between TNM stage and treatment.
Time-dependent Cox models were applied to evaluate changes in treatment effects over time. Chi-square tests compared observed versus expected events across tumor locations. A p-value < 0.05 was considered statistically significant.
3. Results
A total of 101 patients with CRC were included between January 2020 and December 2021. The mean age was 62.49 years (SD ±13.09; range: 32 - 91), and 53.47% were male. Most patients resided in Cartago city (22.77%), El Guarco (15.84%), and Paraíso (13.86%). At diagnosis, 78% presented with symptoms (Table 1). The mean time from diagnosis to treatment was 61 days, and the mean follow-up time was 30 months.
Table 1. General characteristics.
Variable |
Category |
Frequencies (#) |
Percentage (%) |
Accumulate (%) |
Sex |
Women |
47 |
46.53 |
46.53 |
|
Men |
54 |
53.47 |
100 |
Residence |
CARTAGO |
23 |
22.77 |
22.77 |
|
EL GUARCO |
16 |
15.84 |
38.61 |
|
PARAISO |
14 |
13.86 |
75.25 |
|
OREAMUNO |
10 |
9.9 |
61.39 |
|
TURRIALBA |
10 |
9.9 |
90.1 |
|
ZONA SUR |
10 |
9.9 |
100 |
|
LA UNION |
9 |
8.91 |
51.49 |
|
SAN JOSE |
5 |
4.95 |
80.2 |
|
JIMENEZ |
4 |
3.96 |
42.57 |
Symptom |
No |
22 |
21.78 |
21.78 |
|
Yes |
79 |
78.22 |
100 |
Variable |
Obs. |
Mean |
SD |
Min |
Max |
Age |
101 |
62.49 |
13.09 |
32 |
91 |
Dx-Tx |
90 |
60.68 |
72.1 |
0 |
335 |
Survival Time |
100 |
29.52 |
17.9 |
0 |
56 |
Dx-Tx: Time from Diagnosis to Treatment.
3.1. Diagnosis Pathways and Stage at Presentation
Thirty-six patients (35.64%) were diagnosed through FIT screening, and 65 (64.36%) through other means. FIT-detected cases were more frequently diagnosed at early stage (41.67% vs. 6.25%), while non-FIT cases were more often regional (51.56%) or advanced (29.69%) (Table 2).
Table 2. Screening methods versus stages.
Diagnosis Method |
Total |
Percentage of Total |
Early (%) |
Regional (%) |
Advanced (%) |
FIT Screening |
36 |
35.64 |
41.67 |
33.33 |
8.33 |
Other Methods |
64 |
64.36 |
6.25 |
51.56 |
29.69 |
3.2. Tumor and Histopathological Characteristics
Tumor location was most frequently the rectum (45.54%), followed by the right colon (26.73%), left colon (24.75%), and anal canal (2.97%) (Table 3). TNM staging showed 45% regional disease, 22% metastatic, 19% localized, and 14% unclassified. Adenocarcinoma was the predominant histology (91.09%), with less frequent types including intramucosal carcinoma (3.96%), signet-ring cell carcinoma (1.98%), and other subtypes (2.97%).
Table 3. Tumor characteristics.
TNM Stage Grouped |
Frequency |
Percent |
Cumulative |
Advanced (Metastatic) |
22 |
22 |
22 |
Early (Localized) |
19 |
19 |
41 |
Regional (Lymph Node Involvement) |
45 |
45 |
86 |
Unclassified/Unknown |
14 |
14 |
100 |
Localization |
Freq. |
Percent |
Cum. |
Right Colon |
27 |
26.73 |
26.73 |
Left Colon |
25 |
24.75 |
51.49 |
Rectum |
46 |
45.54 |
97.03 |
Anal Canal/Anus |
3 |
2.97 |
100 |
Biopsy Result |
Frequency |
Percent |
Cumulative |
Carcinoma |
92 |
91.09 |
91.09 |
Intramucosal |
4 |
3.96 |
95.05 |
Signet-Ring Cells |
2 |
1.98 |
97.03 |
Others |
3 |
2.97 |
100 |
Nodes Positive (Grouped) |
Frequency |
Percent |
Cumulative |
None (0) |
86 |
85.15 |
85.15 |
Low (1 - 2) |
11 |
10.89 |
96.04 |
High (≥3) |
4 |
3.96 |
100 |
3.3. Stage-Location Relationship
Rectal cancer was commonly diagnosed at regional (56.52%) or advanced (26.09%) stages. Early-stage tumors were more frequent in the left colon (32%) and right colon (23.08%) (Table 4). Unclassified staging was more common in the right colon (26.92%), likely due to incomplete data.
3.4. Observed vs. Expected Mortality
The chi-square test showed a marginally non-significant difference in mortality distribution by location (χ2 = 6.95, p = 0.0736). Rectal cancer mortality matched expectations (observed: 21; expected: 22.90), whereas right colon had more deaths than expected (15 vs. 9.89), and left colon fewer (7 vs. 11.86).
Table 4. Localization by Stage TNM.
|
Advanced (%) |
Early (%) |
Regional (%) |
Unclassified (%) |
Total (%) |
Right Colon |
4 (15.4) |
6 (23.1) |
9 (34.6) |
7 (26.9) |
26 (26.8) |
Left Colon |
5 (20) |
8 (32) |
8 (32) |
4 (16) |
25 (24.7) |
Rectum |
12 (26.2) |
5 (10.1) |
26 (56.5) |
3 (6.5) |
46 (45.5) |
Anal Canal/Anus |
1 (33.4) |
0 (0) |
2 (66.7) |
0 (0) |
3 (3) |
Total |
22 (22) |
19 (19) |
45 (45) |
14 (14) |
100 (100) |
3.5. Treatment Patterns
Surgery was performed in 75.25% of patients; colectomy (25.74%), colostomy (19.80%), and LAR (17.82%) were most common. Laparoscopic surgery was used in 40.59% of cases. Postoperative complications occurred in 21.78% of patients. Adjuvant therapy was given to 46.53%, most frequently FOLFOX/XELOX (23.76%), capecitabine monotherapy (6.93%), and chemoradiotherapy (6.93%) (Table 5).
Table 5. Treatments.
Surgical Treatment |
Frequency |
Percent |
Cumulative |
Others/unknown |
25 |
24.75 |
24.75 |
Colectomy |
26 |
25.74 |
50.50 |
Colostomy |
20 |
19.80 |
70.30 |
LAR |
18 |
17.82 |
88.12 |
APR |
2 |
1.98 |
90.1 |
Sigmoidectomy |
10 |
9.9 |
100 |
Laparoscopy |
Frequency |
Percent |
Cumulative |
No |
60 |
59.41 |
59.41 |
Yes |
41 |
40.59 |
100 |
Total |
101 |
100 |
- |
Complications |
Frequency |
Percent |
Cumulative |
No |
79 |
78.22 |
78.22 |
Yes |
22 |
21.78 |
100 |
Total |
101 |
100 |
- |
Adjuvant Therapy |
Frequency |
Percent |
Cumulative |
No |
54 |
53.47 |
53.47 |
Yes |
47 |
46.53 |
100 |
Total |
101 |
100 |
- |
Chemotherapy Groups |
Frequency |
Percent |
Cumulative |
No chemotherapy |
51 |
50.50 |
91.09 |
Capecitabine |
7 |
6.93 |
57.43 |
FOLFOX/XELOX |
24 |
23.76 |
81.19 |
Chemoradiotherapy |
7 |
6.93 |
88.12 |
Bevacizumab |
5 |
4.95 |
93.07 |
Others |
7 |
6.93 |
100 |
Low Anterior Resection (LAR), Abdominoperineal Resection (APR).
3.6. Survival Analysis
Early-stage tumors had better survival (HR: 0.10, 95% CI: 0.02 - 0.52, p = 0.00) than unclassified cases. Localized disease showed a protective trend (HR: 0.45, 95% CI: 0.18 - 1.08, p = 0.07), while advanced disease had worse prognosis (HR: 1.76, 95% CI: 0.73 - 4.23, p = 0.20) (Table 6, Figure 1).
Table 6. Cox regression models.
|
HR |
SE |
z |
p |
LCI |
HCI |
Unclassified |
Reference |
Early |
0.10 |
0.08 |
−2.76 |
0.00 |
0.02 |
0.52 |
Localized |
0.45 |
0.20 |
−1.77 |
0.07 |
0.18 |
1.08 |
Advanced |
1.76 |
0.78 |
−1.28 |
0.20 |
0.73 |
4.23 |
|
HR |
SE |
z |
P |
LCI |
HCI |
NO Laparoscopy |
Reference |
Laparoscopy |
0.48 |
0.15 |
−2.21 |
0.27 |
0.25 |
0.92 |
|
HR |
SE |
z |
P |
LCI |
HCI |
Other Methods |
Reference |
FIT Screening |
0.24 |
0.09 |
−3.44 |
0.001 |
0.10 |
0.54 |
|
HR |
SE |
z |
p |
LCI |
HCI |
Carcinoma |
Reference |
Intramucosal |
0.44 |
0.45 |
−0.80 |
0.42 |
0.06 |
3.23 |
Ring cells |
4.61 |
3.38 |
2.08 |
0.03 |
1.09 |
19.43 |
Others |
1.85 |
1.34 |
0.85 |
0.395 |
0.44 |
7.69 |
|
HR |
SE |
z |
p |
LCI |
HCI |
Right Colon |
Reference |
Left Colon |
0.38 |
0.17 |
−2.07 |
0.03 |
0.15 |
0.94 |
Rectum |
0.60 |
0.20 |
−1.50 |
0.13 |
0.30 |
1.16 |
Anal Canal/Anus |
1.46 |
0.92 |
−0.60 |
0.54 |
0.42 |
5.07 |
|
HR |
SE |
z |
p |
LCI |
HCI |
FIT-based diagnosis was strongly associated with improved survival (HR: 0.24, 95% CI: 0.11 - 0.54, p = 0.001; log-rank p = 0.0001) (Table 6, Figure 2). Left-sided CRC had significantly better survival than right-sided (HR: 0.38, 95% CI: 0.15 - 0.94, p = 0.03) (Figure 3).
Figure 1. Kaplan Meier survival rates by TNM.
Figure 2. Kaplan Meier survival rates by FIT status.
Figure 3. Kaplan Meier survival rates by tumor localization.
3.7. Time-Dependent Effects
Time-dependent Cox models showed initial strong survival benefits for colectomy (HR: 0.027, p = 0.007), colostomy (HR: 0.032, p = 0.004), and APR (HR: 0.00008, p = 0.023), but these effects diminished or reversed over time, suggesting late complications or reduced benefit.
Chemotherapy regimens also showed early benefit but declining effects:
FOLFOX/XELOX: early HR 0.67 (p = 0.017) → later HR 6.92 (p = 0.001)
Chemoradiotherapy: early HR 0.012 (p = 0.081) → later HR 9.68 (p = 0.013)
Bevacizumab: early HR 0.008 (p = 0.147) → later HR 10.07 (p = 0.047)
When analyzed overall, FOLFOX/XELOX was associated with higher mortality (HR: 2.82, 95% CI: 1.44 - 5.53, p = 0.00), likely reflecting its use in advanced cases rather than intrinsic inefficacy (Table 7).
Table 7. Time-dependent cox regression models for surgical and chemotherapy treatments.
|
Initial Values |
Time Dependent Values |
|
HR |
95% CI |
P (val.) |
HR |
95% CI |
P (val.) |
Colectomy |
0.027 |
0.01 |
0.38 |
0.007 |
2.97 |
0.96 |
9.14 |
0.058 |
Colostomy |
0.032 |
0.00 |
0.32 |
0.004 |
5.07 |
1.84 |
13.94 |
0.002 |
RAB |
0.00008 |
0.00 |
0.26 |
0.023 |
18.69 |
1.41 |
246.4 |
0.023 |
|
HR |
95% CI |
P (val.) |
HR |
95% CI |
P (val.) |
FOLFOX/XELOX |
0.67 |
0.01 |
0.62 |
0.017 |
6.92 |
2.39 |
20.65 |
0.001 |
Qx-Rx |
0.01 |
0.00 |
1.71 |
0.081 |
9.68 |
1.60 |
58.54 |
0.013 |
Bevacizumab |
0.008 |
0.00 |
5.26 |
0.147 |
10.07 |
1.01 |
109.3 |
0.047 |
Val.: Values, Qx-Rx: Chemoradiotherapy.
4. Discussion
This study provides relevant evidence on CRC prognosis in CR, emphasizing the influence of tumor localization, stage at diagnosis, and treatment modalities—including time-dependent effects—on survival. The results highlight the importance of early detection through FIT-based screening and the potential survival benefits of tailored surgical and adjuvant treatment strategies.
4.1. Impact of FIT-Based Screening
Patients diagnosed with FIT screening were more likely to have early-stage disease (41.67% vs. 6.25%) compared with those diagnosed through other pathways, consistent with previous studies reporting improved early detection and reduced mortality through FIT programs [6]-[9]. Although the hazard ratio for mortality among FIT-detected cases did not reach statistical significance (HR: 0.88, p = 0.726), the limited sample size may have reduced statistical power. Conversely, patients diagnosed outside FIT programs had a markedly worse prognosis (HR: 5.56, p < 0.001), reinforcing the established association between late-stage diagnosis and poor survival [10] [11]. Strengthening FIT-based screening coverage and adherence could increase early detection rates and improve long-term outcomes.
4.2. Tumor Localization and Survival
Rectal cancer was the most frequent location (45.54%), contrasting with patterns from high-income countries where left-sided CRC predominates [12] [13]. This could reflect genetic, environmental, or healthcare access differences in CR. Rectal tumors were often diagnosed at regional (56.52%) or advanced (26.09%) stages, underscoring possible diagnostic delays or aggressive biology. Left-sided CRC showed significantly better survival (HR: 0.38, p = 0.03) than right-sided tumors, aligning with evidence that right-sided CRC is less responsive to standard treatments [14]-[16]. Although differences in survival by location did not reach statistical significance (log-rank p = 0.0736), trends support the relevance of anatomical site in prognosis and treatment planning.
4.3. Surgical and Adjuvant Treatments
Surgery remained a strong determinant of survival. Colectomy, low anterior resection, and sigmoidectomy were associated with improved outcomes, with laparoscopic surgery showing a protective effect (HR: 0.48, p = 0.02), in line with literature on the benefits of minimally invasive techniques [17]. Time-dependent analysis revealed that initial survival benefits of colectomy and colostomy diminished over time, suggesting possible late complications or reduced efficacy in advanced disease.
Adjuvant therapy demonstrated time-dependent benefits, with protective effects increasing during follow-up (HR: 1.54, p = 0.004). However, FOLFOX/XELOX regimens were associated with worse overall survival (HR: 2.82, p = 0.00), likely due to indication bias as these regimens are often used in advanced cases. This underlines the importance of patient stratification and individualized therapy [18].
4.4. Lymph Node Involvement and Complications
Neither lymph node involvement nor postoperative complications significantly affected survival in this cohort, suggesting that other factors—such as tumor biology and systemic inflammation—may have greater prognostic weight.
4.5. Clinical Implications
The high proportion of late-stage rectal cancer cases supports revising screening strategies to improve detection in this location. Surgical decisions should consider both stage and patient characteristics, while structured follow-up programs could maximize the time-dependent benefits of adjuvant therapy.
4.6. Future Research
Further studies should explore molecular differences between right- and left-sided CRC, integrate tumor location into risk models, and assess novel therapeutic approaches including neoadjuvant and immunotherapy. Large-scale, prospective research is needed to validate these findings and guide personalized CRC management in CR.
5. Conclusions
Rectal cancer in this cohort was most often diagnosed at regional or advanced stages, a finding associated with poorer survival and indicative of potential delays in detection. Conversely, left-sided CRC showed a survival advantage over right-sided tumors, supporting the need for location-specific diagnostic and therapeutic strategies.
Surgical intervention, particularly in regional-stage disease, significantly improved survival, with laparoscopic approaches providing additional benefits by reducing perioperative morbidity. Adjuvant therapy demonstrated a sustained protective effect over time, underscoring its value in long-term disease control and patient follow-up.
The association between FOLFOX/XELOX chemotherapy and poorer survival likely reflects selection bias, as this regimen is typically reserved for advanced-stage cases.
Future research should focus on the interplay between tumor location, stage, and treatment effectiveness to refine patient stratification models and advance personalized CRC management. These results highlight the critical importance of early detection, optimal treatment selection, and structured long-term follow-up in improving colorectal cancer survival outcomes.
6. Limitations
This study has several limitations. First, its retrospective design may be subject to selection bias, as only patients with complete medical records and histological confirmation were included. Second, missing data on certain clinical and pathological variables—particularly TNM stage in unclassified cases—may have affected the accuracy of stage-specific analyses. Third, the relatively small sample size may have limited the statistical power to detect subgroup differences, particularly in time-dependent models. Fourth, the study was conducted in a single specialized center, which may limit the generalizability of the findings to other healthcare settings in CR. Finally, the observational nature of the study precludes definitive causal inferences regarding treatment effects.
Funding
This study was supported by the CCSS and the CNDTCG. The CCSS provided institutional support and access to patient records, ensuring the availability of comprehensive epidemiological and clinical data. The CNDTCG contributed to data collection and analysis, facilitating the assessment of colorectal cancer screening and treatment outcomes in CR. The funding sources had no role in the design of the study, data collection, analysis, interpretation, manuscript preparation, or the decision to submit this article for publication.
Acknowledgements
The authors wish to thank the NCI and the NIH librarian services for their editorial assistance, as well as the staff of the CNDTCG and Hospital Max Peralta for their valuable contributions to this research.
Financial Disclosure
This research was funded by the CNDTCG under the CCSS. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does the mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government. The authors declare no conflicts of interest.
Ethics Statement
The study protocol was reviewed and approved by the Scientific Ethics Committee of the Hospital Nacional de Niños under protocol number HNN-DG-CEC-045-2025. Given the retrospective nature of the study and the use of anonymized data, the requirement for informed consent was waived in accordance with national and institutional regulations. All procedures were conducted in accordance with the principles of the Declaration of Helsinki and Costa Rican ethical guidelines for human research.
Patient and Public Involvement
Patients and members of the public were not involved in the design, conduct, reporting, or dissemination plans of this research. The study relied exclusively on secondary analysis of existing clinical and pathological data from institutional registries.
Data Availability Statement
The datasets generated and analyzed during the current study are not publicly available due to institutional confidentiality agreements and patient privacy regulations. De-identified data may be made available from the corresponding author upon reasonable request and with approval from the CCSS and the Scientific Ethics Committee.