Literature DB >> 27213584

Survival of patients with symptom- and screening-detected colorectal cancer.

Hermann Brenner1,2,3, Lina Jansen1, Alexis Ulrich4, Jenny Chang-Claude5, Michael Hoffmeister1.   

Abstract

BACKGROUND: An increasing proportion of colorectal cancer (CRC) patients are diagnosed by screening rather than symptoms. AIMS: We aimed to assess and compare prognosis of patients with screen-detected CRC and symptom-detected CRC.
METHODS: Overall and CRC specific mortality over a median follow-up of 4.8 years was assessed according to mode of diagnosis (symptoms, screening colonoscopy, fecal occult blood test [FOBT], other) in a multi-center cohort of 2,450 CRC patients aged 50-79 years recruited in Germany in 2003-2010.
RESULTS: 68%, 11% and 10% were detected by symptoms, screening colonoscopy and FOBT, respectively. The screen-detected cancers had a more favorable stage distribution than the symptom-detected cancers (68% versus 50% in stage I or II). Age- and sex adjusted hazard ratios (HRs) of total mortality with 95% confidence intervals (95% CIs) compared to symptom-detected cancers were 0.35 (0.24-0.50) and 0.36 (0.25-0.53) for screening colonoscopy and FOBT detected CRCs, respectively. HRs were only slightly attenuated and remained highly significant after adjustment for stage and multiple other covariates (0.50 (0.34-0.73) and 0.54 (0.37-0.80), respectively). Even stronger associations were seen for CRC specific mortality. Patients with screen-detected stage III CRC had as good CRC specific survival as patients with symptom-detected stage I or II CRC.
CONCLUSIONS: Patients with screen-detected CRC have a very good prognosis far beyond the level explained by their more favorable stage distribution. Mode of detection is an important, easy-to-obtain proxy indicator for favorable diagnosis beyond earlier stage at diagnosis and as such may be useful for risk stratification in treatment decisions.

Entities:  

Keywords:  colonoscopy; colorectal cancer; fecal occult blood test; screening; survival

Mesh:

Year:  2016        PMID: 27213584      PMCID: PMC5190129          DOI: 10.18632/oncotarget.9412

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Screening for colorectal cancer (CRC) is employed in an increasing number of countries due to its proven efficacy in reducing CRC incidence and mortality [1-9], and an increasing share of CRC cases is diagnosed by screening rather than by symptoms. It is to be expected that patients with screen-detected CRC have better prognosis than patients with symptom-detected CRC due to earlier diagnosis and potentially other favorable tumor or host characteristics. However, it is unclear to what extent survival advantages persist within stages at diagnosis. Direct evidence on overall and stage-specific survival expectations of patients with screen-detected CRC is surprisingly sparse. Such evidence would though be of major clinical and public health interest for several reasons: First, it may alleviate the fear of having a diagnosis of CRC at screening which may be a major obstacle for people to undergo CRC screening. Second, it may alleviate fears of patients after a CRC diagnosis at screening. Third, it may enhance the basis for clinical decision making. In this manuscript, we provide a detailed assessment of prognosis of CRC patients according to type of diagnosis (detection by symptoms, screening colonoscopy, fecal occult blood test [FOBT], or otherwise) in a large multi-center cohort of CRC patients from Germany for whom detailed information on the diagnostic process was obtained.

MATERIALS AND METHODS

Study design and study population

In Germany, screening colonoscopy is offered to the average risk population from age 55 on. Screening by (guaiac based) FOBT is offered annually at ages 50 to 54. From age 55 on, FOBT every two years is offered as an alternative to screening colonoscopy. To assess the impact of screening, the DACHS (Darmkrebs: Chancen der Verhütung durch Screening) study was initiated in the Rhine-Neckar area of Germany in 2003. DACHS is a population-based case-control study with additional comprehensive follow-up of cases. Details of the study design and data collection have been reported previously [10-12]. Briefly, patients with a first diagnosis of CRC (ICD 10 codes C18-C20) aged 30 years or older are recruited in all of the 22 hospitals providing CRC surgery in the study region (approximately 2 million inhabitants). Matched controls are randomly selected from population registries. The study was approved by the ethics committees of the Medical Faculty of the University of Heidelberg and of the Medical Chambers of Baden-Württemberg and Rhineland-Palatinate. Written informed consent is obtained from each participant. Participants for the current analysis were selected from 3,146 cases recruited from 2003 to 2010 and followed with respect to survival to 2013.

Data collection

Personal interviews with cases were conducted by trained interviewers using a standardized questionnaire. Interviews were conducted during hospital stay, typically a few days after surgery, wherever possible, or after hospital discharge at the patients’ homes otherwise. In addition, medical data were extracted from hospital charts. The interviews lasted for about one hour and addressed potential CRC risk factors, preventive factors and prognostic factors in great detail. In addition, detailed information was collected on history of CRC screening and the basis for the current CRC diagnosis. In particular, patients were asked if the diagnosis was made by work-up of symptoms, by a screening examination or incidentally (e.g. in the context of medical examination for other reasons). If the cancer was detected by screening, the type and sequence of screening examinations was ascertained. Data extracted from medical charts include tumor stage and location in particular. Three years after diagnosis, standardized information on CRC therapy was obtained from the physicians of the patients. Three and 5 years after diagnosis, vital status was ascertained through systematic follow-up by record linkage with population registries. For deceased patients, cause of death was extracted from death certificates which were obtained from local public health authorities.

Statistical analysis

For statistical analysis, the following consecutive exclusions were made (numbers and reasons given in parentheses): <50 or >=80 years of age (n=664; screening not commonly offered or recommended for the average risk population at these ages), history of inflammatory bowel disease (n=19; frequent surveillance colonoscopies due to increased risk of CRC), missing information on the mode of CRC detection (n=2), and missing follow-up data (n=11). After these exclusions, there remained 2,450 cases for the analysis. We first described cases according to age, sex, education, stage (using the Union Internationale Contre le Cancer [UICC] classification), site (proximal colon, cecum to transverse colon; distal colon, left flexure to sigmoid colon; rectum) and mode of detection (symptoms; screening colonoscopy; FOBT; other, such as incidental detection in the course of other diagnostic measures) of the cancer. Differences in age, sex, education, stage, and site distributions by mode of detection were assessed by Chi square tests. Next, we assessed overall and CRC specific survival according to mode of detection. Survival time was calculated from the day of diagnosis to the day of death (deceased patients) or censored at the date of the last follow-up. In cause specific survival analyses survival time was censored at the day of death from other reasons. Survival was compared by mode of detection using direct adjusted survival curves (adjusted for age and sex). In addition, Cox proportional hazards models were run to evaluate the association of mode of detection with survival outcomes using various levels of adjustment: Model 1 adjusted for sociodemographic variables only (sex, age, education). Model 2 additionally adjusted for key tumor characteristics, i.e., stage and location. In order to assess potential variation of results according to specific treatments, Cox proportional hazards models were repeated after excluding 304 patients who had received neoadjuvant therapy in sensitivity analyses. Furthermore, we carried out specific analyses on CRC specific survival for subgroups defined by tumor stage and location, by conduct of chemotherapy among stage II and stage III patients, and by sex and age. In all Cox models, the proportional hazards assumption was checked by testing for interaction of the covariates with follow-up time and interaction terms were added as needed. All statistical analyses were carried out using SAS statistical software, version 9.3 (SAS Institute Inc., Cary, North Carolina). An alpha level of 0.05 was employed for statistical tests.

RESULTS

Table 1 shows characteristics of the study population which included 1520 (62%) male and 930 (38%) female patients. The majority of patients were between 60 and 79 years old (82%; median: 68 years), were diagnosed at stage II or III (62%), and had their cancer detected by symptoms (68%). Screening colonoscopy, FOBT and other reasons led to the diagnosis in approximately 10% each.
Table 1

Characteristics of the study population

CharacteristicMenWomenTotal
n%N%n%
Age
 50-59 years27318%17519%44818%
 60-69 years63642%36339%99941%
 70-79 years61140%39242%100341%
Educationa
 ≤9 years105770%65170%170870%
 10-11 years20413%17819%38216%
 12+ years25917%9711%35614%
Cancer stageb
 I36524%21023%57523%
 II45930%28931%74831%
 III46031%30433%76431%
 IV23115%12513%35615%
Cancer sitec
 Proximal colon39926%33236%73130%
 Distal colon41928%26829%68728%
 Rectum69946%32735%102642%
Mode of detection
 Symptoms99766%67373%167068%
 Screening colonoscopy18312%9610%27911%
 FOBT16811%758%24310%
 Other17211%869%25811%

FOBT, fecal occult blood test

Information missing for 4 patients.

Information missing for 7 patients.

Information missing for 6 patients.

FOBT, fecal occult blood test Information missing for 4 patients. Information missing for 7 patients. Information missing for 6 patients. Patients whose cancer was detected by screening colonoscopy more often had higher education than patients with symptom-detected cancer (Table 2). Furthermore, their cancer was detected much more often in stage I (50% versus 17%), and located in the colon (69% versus 53%). FOBT detected cancers also had a more favourable stage distribution than symptom-detected cancers, with only 4% of cancers detected in stage IV, compared to 17% for symptom-detected cancers and 5% for screening colonoscopy-detected cancers. However, the proportion of stage I cancers was lower than among screening colonoscopy-detected cancers.
Table 2

Association of mode of detection with patient and tumor characteristics

CharacteristicMode of detection
SymptomsScreening colonoscopyp-valueaFOBTp-value aOtherp-value a
n%n%n%n%
Age
 50-5932219%4014%0.0374719%0.433915%0.066
 60-6967941%13448%8937%9738%
 70-7966940%10538%10744%12247%
Sex
 Men99760%18366%0.06216869%0.00517267%0.033
 Women67340%9634%7531%8633%
Education
 ≤9 years118971%17563%0.00316367%0.26218167%0.773
 10-11 years25815%4717%3916%3816%
 12+ years22013%5720%4117%3817%
Cancer stage
 I29117%13950%<0.0018334%<0.0016224%0.048
 II54533%4717%8234%7429%
 III54733%7627%6728%7429%
 IV28317%155%104%4818%
Cancer site
 Prox. colon42826%9735%<0.0018836%<0.00111846%<0.001
 Distal colon44927%9634%7230%7028%
 Rectum79047%8631%8334%6726%

FOBT, fecal occult blood test

p-value for difference from participants whose cancer was detected by symptoms

FOBT, fecal occult blood test p-value for difference from participants whose cancer was detected by symptoms During a median follow-up time of 4.8 years (interquartile range: 3.0 to 5.1 years), 590 (24%) patients died, of whom 461 (78%) died from CRC. Direct adjusted survival curves are shown in Figure 1. Patients whose cancer was detected by screening colonoscopy or FOBT had substantially higher overall survival and CRC specific survival 5 years after diagnosis (>85% and >90%, respectively) than patients whose cancer was detected by symptoms or otherwise (<70% and <75%, respectively). After adjustment for age, sex and education, patients whose cancer was detected by screening colonoscopy had a 65% lower total mortality than patients with symptom-detected cancers (hazard ratio, HR, 0.35, 95% confidence interval, 95% CI, 0.24-0.50) (Table 3). A 50% mortality reduction persisted even after additional control for stage and location of the cancer (HR 0.50, 95% CI 0.34-0.73). Similarly decreased total mortality was seen for patients whose cancer was detected by FOBT. Even stronger reductions were seen for CRC mortality, with fully adjusted hazard ratios of 0.36 (95% CI 0.21-0.60) and 0.47 (95% CI 0.29-0.77) for patients with screening colonoscopy and FOBT-detected cancers, respectively. By contrast, no difference was seen in mortality from other causes between patients with screen-detected and symptom-detected cancer. Sensitivity analyses excluding 304 patients who had received neoadjuvant therapy did not materially change any of the observed associations (fully adjusted HRs (95% CIs) for CRC mortality: 0.38 (95% CI 0.23-0.64) and 0.48 (95% CI 0.29-0.79) for colonoscopy- and FOBT detected cancers, respectively). The same applies to sensitivity analyses specifically adjusting for T- and N-status in addition to UICC stage (fully adjusted HRs (95% CIs) for CRC mortality: 0.37 (95% CI 0.21-0.64) and 0.52 (95% CI 0.31-0.85) for colonoscopy- and FOBT detected cancers, respectively).
Figure 1

Direct adjusted survival curves according to mode of cancer detection for A

overall and B. CRC-specific survival, C. non-CRC-specific survival and D, E, F. according to mode of detection and stage at diagnosis (all survival curves were adjusted for age and sex).

Table 3

Hazard ratios for total, CRC specific and other mortality according to mode of detection

Outcome, mode of detectionMortalityHazard Ratios
DeathsPerson-yearsRate per 1000 person-yrsAdjusted for age, sex, education aFully adjusted b
HR95% CIHR95% CI
Total mortality
 Symptoms461581579.31.00Ref.1.00Ref.
 Screening colonoscopy30107328.00.35(0.24-0.50)0.50(0.34-0.73)
 FOBT2997129.90.36(0.25-0.53)0.54(0.37-0.80)
 Other7089977.90.94(0.73-1.21)0.86(0.66-1.11)
CRC mortality
 Symptoms373581564.11.00Ref.1.00Ref.
 Screening colonoscopy15107314.00.21(0.13-0.36)0.36(0.21-0.60)
 FOBT1797117.50.27(0.17-0.44)0.47(0.29-0.77)
 Other5689962.30.93(0.70-1.23)0.85(0.63-1.13)
Non CRC mortality
 Symptoms88581515.11.00Ref.1.00Ref.
 Screening colonoscopy15107314.00.92(0.53-1.59)0.94(0.53-1.67)
 FOBT1297112.40.73(0.40-1.33)0.74(0.40-1.37)
 Other1489915.60.99(0.56-1.74)0.96(0.54-1.72)

FOBT, fecal occult blood test; HR, hazard ratio, 95% CI, 95% confidence interval

Adjusted for age, sex, and education, and for a time-dependent effect of age and sex.

Additionally adjusted for stage and location of the cancer, and for time-dependent effects of stage and location.

Direct adjusted survival curves according to mode of cancer detection for A

overall and B. CRC-specific survival, C. non-CRC-specific survival and D, E, F. according to mode of detection and stage at diagnosis (all survival curves were adjusted for age and sex). FOBT, fecal occult blood test; HR, hazard ratio, 95% CI, 95% confidence interval Adjusted for age, sex, and education, and for a time-dependent effect of age and sex. Additionally adjusted for stage and location of the cancer, and for time-dependent effects of stage and location. Given very similar results for survival of patients with screening colonoscopy and FOBT-detected cancers both groups were combined in further, subgroup specific analyses. Strongly reduced CRC specific mortality for patients with screening colonoscopy or FOBT-detected compared to symptom-detected cancers was consistently seen even after full adjustment for all subgroups defined by tumor stage or location (Table 4, Figure 1, Panels D, E, F), sex or age (Table 5). With a 74% lower CRC specific mortality for screen-detected compared to symptoms-detected cancers, the association was particularly strong among stage II-III patients who received chemotherapy. Additional subgroup analyses among stage III patients by number of affected lymph nodes (N1: 1-3 lymph nodes, N2: 4+ lymph nodes) confirmed substantially lower CRC mortality for patients with screen-detected CRC than for patients with symptom-detected CRC within both subgroups (N1: HR 0.34, 95% CI 0.14-0.81; N2: HR 0.39, 95% CI 0.40-1.10). Among patients with screen-detected stage III CRC, 5-year CRC specific survival was as high (slightly above 90%) as among patients with symptom-detected stage I or II CRC (Figure 1, Panels D and E). The small number of patients with screen-detected stage IV CRC had approximately two-fold higher 5-year CRC-specific survival (40% versus 20%) and 2-fold longer median CRC-specific survival (4 versus 2 years) compared to patients with symptom-detected stage IV CRC (Figure 1, Panel F).
Table 4

Hazard ratios for CRC-specific mortality according to mode of detection and stage at diagnosis and location of tumor

Patient / tumor characteristics, mode of detectionDeathsPerson-yearsRate per 1,000 person-yrsFully adjusted hazard ratio a
HR95% CI
Stage I + II
 Symptoms60322518.61.00Ref.
 Any screening814105.70.29(0.14-0.61)
 Other55289.50.46(0.18-1.17)
Stage III
 Symptoms102198351.41.00Ref.
 Any screening1054718.30.33(0.17-0.64)
 Other1426652.60.86(0.47-1.57)
Stage IV
 Symptoms209597350.11.00Ref.
 Any screening1472194.40.52(0.30-0.90)
 Other37105352.40.92(0.64-1.31)
Stage II-III patients who received chemotherapyb
 Symptoms98245240.01.00Ref.
 Any screening758312.00.26(0.12-0.56)
 Other1127040.70.69(0.35-1.36)
Stage II-III patients who did not receive chemotherapy
 Symptoms84244334.41.00Ref.
 Any screening1062116.10.45(0.23-0.87)
 Other731222.40.67(0.30-1.48)
Proximal colon
 Symptoms112138081.21.00Ref.
 Any screening1172115.30.32(0.17-0.60)
 Other2243151.00.65(0.40-1.04)
Distal colon
 Symptoms91162755.91.00Ref.
 Any screening1067014.90.47(0.24-0.93)
 Other2022588.91.40(0.85-2.31)
Rectum
 Symptoms168279960.01.00Ref.
 Any screening1165316.80.47(0.25-0.86)
 Other1423060.90.70(0.40-1.22)

FOBT, fecal occult blood test; HR, hazard ratio; 95% CI, 95% confidence interval

Adjusted for age, sex, education, stage and location of the cancer, and for time-dependent effects of age, sex, stage and location.

Colon cancer patients who received chemotherapy after surgery for treatment of primary cancer; rectum cancer patients who received neoadjuvant therapy before surgery and/or chemotherapy after surgery for treatment of primary cancer.

Table 5

Hazard ratios for CRC-specific mortality according to mode of detection and by age and sex

Patient characteristics, mode of detectionDeathsPerson-yearsRate per 1,000 person-yrsFully adjusted hazard ratio a
HR95% CI
Men
 Symptoms226342066.11.00Ref.
 Any screening21137115.30.38(0.24-0.59)
 Other3459257.40.75(0.52-1.08)
Women
 Symptoms147239561.41.00Ref.
 Any screening1167216.40.45(0.24-0.83)
 Other2230771.71.05(0.66-1.67)
Age ≤68 yearsb
 Symptoms212357459.31.00Ref.
 Any screening15123112.20.38(0.22-0.65)
 Other2449948.10.72(0.46-1.12)
Age >68 yearsb
 Symptoms161224171.81.00Ref.
 Any screening1781220.90.43(0.26-0.72)
 Other3240080.00.92(0.63-1.35)

FOBT, faecal occult blood test; HR, hazard ratio. 95% CI, 95% confidence interval

Adjusted for age, sex, education, stage and location of the cancer, and for time-dependent effects of age, sex, stage and location.

Age categorized at the median value

FOBT, fecal occult blood test; HR, hazard ratio; 95% CI, 95% confidence interval Adjusted for age, sex, education, stage and location of the cancer, and for time-dependent effects of age, sex, stage and location. Colon cancer patients who received chemotherapy after surgery for treatment of primary cancer; rectum cancer patients who received neoadjuvant therapy before surgery and/or chemotherapy after surgery for treatment of primary cancer. FOBT, faecal occult blood test; HR, hazard ratio. 95% CI, 95% confidence interval Adjusted for age, sex, education, stage and location of the cancer, and for time-dependent effects of age, sex, stage and location. Age categorized at the median value

DISCUSSION

In this large cohort of patients with CRC recruited in the context of a population-based case-control study in Southern Germany, patients whose cancer was detected by screening colonoscopy or FOBT had strongly enhanced overall survival and even more strongly enhanced CRC specific survival compared to patients with symptom-detected cancer. Even though survival differences were partly explained by the more favourable stage distribution of patients with screening detected cancers, the largest share of the survival advantages persisted even after control for CRC stage, and large survival advantages were seen within each stage. Patients with screen-detected stage III CRC had as good CRC specific survival as patients with symptom-detected stage I or II CRC. Our findings of more favourable stage distribution among screen-detected cancers than among symptom-detected cancers are consistent with previous reports from various countries including Germany [e.g. 13–17]. Higher survival rates of patients with screen-detected CRC than of patients with symptom-detected CRC have also been repeatedly reported [16-25], but few studies have addressed survival by stage, and the survival advantage has primarily been attributed to more favorable stage distribution. However, in agreement with our findings, Mapp et al found a significant survival advantage in patients with screen-detected cancers in the Nottingham FOBT trial which persisted after control for tumor stage [19]. In two studies (n=633 and 514, respectively) conducted in the context of the FOBT based British Bowel Cancer Screening Programme, survival advantages for screen-detected cancers over symptom-detected cancers were likewise observed even in stage-specific and stage-adjusted analyses [22, 24]. Similar results were recently reported for screening colonoscopy detected colon cancer in a single center study (n=1,071) from the US [25]. In our multi-center study from Germany (n=2,450), we observed similarly strong survival advantages for patients with either FOBT or screening colonoscopy-detected CRC which were only reduced to a small extent and remained highly statistically significant after control for stage in multivariable analysis. Higher survival of screening detected cases compared to symptom detected cases does not by itself prove any beneficial effects of screening. On the contrary, any screening leading to earlier diagnosis of cancer would be expected to go along with longer survival after diagnosis even if total mortality in the screened and unscreened population remained the same. In such a situation, the apparently longer survival after diagnosis might merely reflect lead time, i.e. advancement of the diagnosis by screening, unless the earlier diagnosis also enhances chances of cure. However, for CRC, chances of cure are strongly stage dependent, and the strong shift of the stage distribution towards earlier stages by colonoscopy or FOBT screening is expected to go along with substantially enhanced chances of cure. Nevertheless, earlier diagnosis was not the only reason for the substantially enhanced survival of patients with screen-detected cancers because a strong survival advantage of this group persisted even after control for cancer stage and was observed for every stage in stage-specific analyses. Several mechanisms might explain this finding. First, confounding by stage might not be fully accounted for by the relatively crude classification of stage which is an extremely strong predictor of prognosis among CRC patients. However, results remained essentially unchanged in sensitivity analyses specifically adjusting for T- and N-status in addition to UICC stage, and very similar results were obtained after further stratification of stage III cancers according to number of affected lymph nodes. Relevant residual confounding by differences in tumor spread therefore appears unlikely. Second, more slowly growing cancers with more favourable prognosis might have a higher chance to be detected by screening and might be overrepresented in screen-detected cancers compared to symptom-detected cancers, a phenomenon known as “length time bias”. Third, patients adherent to screening recommendations whose cancer was detected by screening might also be more adherent to therapy and might also otherwise behave more health conscious after diagnosis than patients with symptom-detected cancers. However, given that our findings persisted after control for education and given the similarity of non-CRC mortality among screen-detected and symptom-detected cancers, a major role of such “healthy screenee bias” seems unlikely. Regardless of its origin, our findings of very favourable prognosis of screen-detected cancer cases might have important clinical and public health implications. First, the fear of a fatal diagnosis might prevent many people from using screening offers. Data showing that their prognosis is very good even in the unlikely case that a cancer is found at screening might help to alleviate such fears and enhance adherence to screening recommendations. Second, direct evidence of relatively favorable prognosis may likewise alleviate fears of patients after a screening initiated diagnosis. Cancer patients are meanwhile often well informed on overall and stage specific cancer survival rates from internet or other information sources. Such survival rates typically do not differentiate between screen-detected and other cancers and may unduly discourage patients with screen-detected cancers. Knowledge of the true prognosis of patients with screen-detected cancers is equally important for the treating physicians and patient-physician interactions, as perspectives of survival and treatment success may impact on treatment decisions. There is ongoing active search for prognostic markers that may support judgment of prognosis as a basis for individual (personalized) treatment decisions. Our results suggest that mode of detection is an exceptionally informative marker in this context which is typically readily available or can be obtained at virtually no extra efforts and costs. Our study has a number of strengths and limitations. To our knowledge, this is the first study simultaneously assessing and comparing survival outcomes of patients with screening colonoscopy detected CRC, FOBT-detected CRC and symptom-detected CRC, with and without stratification by and adjustment for cancer stage as well as a number of other relevant prognostic factors. Patients were recruited after diagnosis, in most cases during hospital stay or early after discharge. As a result, patients with very early deaths or too sick to participate are likely to be underrepresented. This might have increased observed absolute survival proportions to some extent but should not have affected hazard ratios comparing survival between patient groups. Causes of death were extracted from death certificates which are known to be prone to imprecision and coding errors. However, the validity of recorded cause of death has been consistently found to be much higher for cancers than for other causes of death [26]. Despite the large overall sample size, the limited numbers of deaths in some of the subgroup-specific analyses went along with rather wide confidence intervals. Our data do also not allow disentangling and quantifying the various factors other than earlier stage at diagnosis that might have contributed to the more favorable prognosis of screen-detected cancers. Although we controlled for multiple possible confounders, residual confounding by less than perfectly measured confounders or factors not controlled for cannot be ruled out. Despite these limitations, our results have important practical implications. Physicians and patients should be aware of the very favorable prognosis after a screen-detected CRC and take this important prognostic factor into account in their treatment decisions. Communication of the favorable prognosis even in the rare case of CRC detection at screening, along with balanced communication of the protective effects [1-11] and the (albeit rare) potential harms of CRC screening, such as bleedings after polypectomy or overdiagnoses [13, 27], might help to enhance acceptance of and adherence to this powerful preventive measure.
  27 in total

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Authors:  Paul Hewitson; Paul Glasziou; Eila Watson; Bernie Towler; Les Irwig
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2.  Protection from colorectal cancer after colonoscopy: a population-based, case-control study.

Authors:  Hermann Brenner; Jenny Chang-Claude; Christoph M Seiler; Alexander Rickert; Michael Hoffmeister
Journal:  Ann Intern Med       Date:  2011-01-04       Impact factor: 25.391

3.  Nottingham trial of faecal occult blood testing for colorectal cancer: a 20-year follow-up.

Authors:  J H Scholefield; S M Moss; C M Mangham; D K Whynes; J D Hardcastle
Journal:  Gut       Date:  2011-11-03       Impact factor: 23.059

4.  Effect of flexible sigmoidoscopy screening on colorectal cancer incidence and mortality: a randomized clinical trial.

Authors:  Øyvind Holme; Magnus Løberg; Mette Kalager; Michael Bretthauer; Miguel A Hernán; Eline Aas; Tor J Eide; Eva Skovlund; Jørn Schneede; Kjell Magne Tveit; Geir Hoff
Journal:  JAMA       Date:  2014-08-13       Impact factor: 56.272

5.  Shift to earlier stage at diagnosis as a consequence of the National Bowel Cancer Screening Program.

Authors:  Stephen R Cole; Graeme R Tucker; Joanne M Osborne; Susan E Byrne; Peter A Bampton; Robert J L Fraser; Graeme P Young
Journal:  Med J Aust       Date:  2013-04-01       Impact factor: 7.738

6.  Survival benefit for patients with colorectal cancer detected by population-based screening program using an immunochemical fecal occult blood test.

Authors:  T Wada; H Saito; Y Soma; J Koeda; H Kawaguchi; M Tanaka; Y Yoshida; A Munakata
Journal:  Int J Oncol       Date:  1996-10       Impact factor: 5.650

7.  Statin use and survival after colorectal cancer: the importance of comprehensive confounder adjustment.

Authors:  Michael Hoffmeister; Lina Jansen; Anja Rudolph; Csaba Toth; Matthias Kloor; Wilfried Roth; Hendrik Bläker; Jenny Chang-Claude; Hermann Brenner
Journal:  J Natl Cancer Inst       Date:  2015-03-13       Impact factor: 13.506

8.  Survival outcome of patients with screening versus symptomatically detected colorectal cancers.

Authors:  R Pande; P Froggatt; P Baragwanath; C Harmston
Journal:  Colorectal Dis       Date:  2013-01       Impact factor: 3.788

9.  Long-term mortality after screening for colorectal cancer.

Authors:  Aasma Shaukat; Steven J Mongin; Mindy S Geisser; Frank A Lederle; John H Bond; Jack S Mandel; Timothy R Church
Journal:  N Engl J Med       Date:  2013-09-19       Impact factor: 91.245

10.  Once-only sigmoidoscopy in colorectal cancer screening: follow-up findings of the Italian Randomized Controlled Trial--SCORE.

Authors:  Nereo Segnan; Paola Armaroli; Luigina Bonelli; Mauro Risio; Stefania Sciallero; Marco Zappa; Bruno Andreoni; Arrigo Arrigoni; Luigi Bisanti; Claudia Casella; Cristiano Crosta; Fabio Falcini; Franco Ferrero; Adriano Giacomin; Orietta Giuliani; Alessandra Santarelli; Carmen Beatriz Visioli; Roberto Zanetti; Wendy S Atkin; Carlo Senore
Journal:  J Natl Cancer Inst       Date:  2011-08-18       Impact factor: 13.506

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  25 in total

1.  Population-based screening improves histopathological prognostic factors in colorectal cancer.

Authors:  Mónica Mengual-Ballester; Enrique Pellicer-Franco; Graciela Valero-Navarro; Victoriano Soria-Aledo; José Andrés García-Marín; José Luis Aguayo-Albasini
Journal:  Int J Colorectal Dis       Date:  2017-11-14       Impact factor: 2.571

2.  Detrimental impact of symptom-detected colorectal cancer.

Authors:  Lieve G J Leijssen; Anne M Dinaux; Hiroko Kunitake; Liliana G Bordeianou; David L Berger
Journal:  Surg Endosc       Date:  2019-04-24       Impact factor: 4.584

3.  Feasibility of blood testing combined with PET-CT to screen for cancer and guide intervention.

Authors:  Anne Marie Lennon; Adam H Buchanan; Isaac Kinde; Andrew Warren; Ashley Honushefsky; Ariella T Cohain; David H Ledbetter; Fred Sanfilippo; Kathleen Sheridan; Dillenia Rosica; Christian S Adonizio; Hee Jung Hwang; Kamel Lahouel; Joshua D Cohen; Christopher Douville; Aalpen A Patel; Leonardo N Hagmann; David D Rolston; Nirav Malani; Shibin Zhou; Chetan Bettegowda; David L Diehl; Bobbi Urban; Christopher D Still; Lisa Kann; Julie I Woods; Zachary M Salvati; Joseph Vadakara; Rosemary Leeming; Prianka Bhattacharya; Carroll Walter; Alex Parker; Christoph Lengauer; Alison Klein; Cristian Tomasetti; Elliot K Fishman; Ralph H Hruban; Kenneth W Kinzler; Bert Vogelstein; Nickolas Papadopoulos
Journal:  Science       Date:  2020-04-28       Impact factor: 47.728

4.  Overall and stage-specific survival of patients with screen-detected colorectal cancer in European countries: A population-based study in 9 countries.

Authors:  Rafael Cardoso; Feng Guo; Thomas Heisser; Harlinde De Schutter; Nancy Van Damme; Mef Christina Nilbert; Jane Christensen; Anne-Marie Bouvier; Véronique Bouvier; Guy Launoy; Anne-Sophie Woronoff; Mélanie Cariou; Michel Robaszkiewicz; Patricia Delafosse; Florence Poncet; Paul M Walsh; Carlo Senore; Stefano Rosso; Valery E P P Lemmens; Marloes A G Elferink; Sonja Tomšič; Tina Žagar; Arantza Lopez de Munain Marques; Rafael Marcos-Gragera; Montse Puigdemont; Jaume Galceran; Marià Carulla; Antonia Sánchez-Gil; María-Dolores Chirlaque; Michael Hoffmeister; Hermann Brenner
Journal:  Lancet Reg Health Eur       Date:  2022-07-06

5.  Calibrating Natural History of Cancer Models in the Presence of Data Incompatibility: Problems and Solutions.

Authors:  Olena Mandrik; Chloe Thomas; Sophie Whyte; James Chilcott
Journal:  Pharmacoeconomics       Date:  2022-01-07       Impact factor: 4.558

6.  The Costs and Benefits of Risk Stratification for Colorectal Cancer Screening Based On Phenotypic and Genetic Risk: A Health Economic Analysis.

Authors:  Chloe Thomas; Olena Mandrik; Catherine L Saunders; Deborah Thompson; Sophie Whyte; Simon Griffin; Juliet A Usher-Smith
Journal:  Cancer Prev Res (Phila)       Date:  2021-05-26

7.  Awareness of colorectal cancer signs and symptoms: a national cross-sectional study from Palestine.

Authors:  Mohamedraed Elshami; Mohammed Majed Ayyad; Nasser Abu-El-Noor; Bettina Bottcher; Mohammed Alser; Ibrahim Al-Slaibi; Shoruq Ahmed Naji; Balqees Mustafa Mohamad; Wejdan Sudki Isleem; Adela Shurrab; Bashar Yaghi; Yahya Ayyash Qabaja; Fatima Khader Hmdan; Mohammad Fuad Dwikat; Raneen Raed Sweity; Remah Tayseer Jneed; Khayria Ali Assaf; Maram Elena Albandak; Mohammed Madhat Hmaid; Iyas Imad Awwad; Belal Khalil Alhabil; Marah Naser Alarda; Amani Saleh Alsattari; Moumen Sameer Aboyousef; Omar Abdallah Aljbour; Rinad AlSharif; Christy Teddy Giacaman; Ali Younis Alnaga; Ranin Mufid Abu Nemer; Nada Mahmoud Almadhoun; Sondos Mahmoud Skaik
Journal:  BMC Public Health       Date:  2022-04-30       Impact factor: 4.135

8.  Prediction of colorectal tumor grade and invasion depth through narrow-band imaging scoring.

Authors:  Yasuhiko Maeyama; Keiichi Mitsuyama; Tetsuhiro Noda; Shiuchiro Nagata; Tsutomu Nagata; Shinichiro Yoshioka; Hikaru Yoshida; Michita Mukasa; Hiroaki Sumie; Hiroshi Kawano; Jun Akiba; Yuko Araki; Tatsuyuki Kakuma; Osamu Tsuruta; Takuji Torimura
Journal:  World J Gastroenterol       Date:  2018-11-14       Impact factor: 5.742

9.  Measuring Beliefs Related to Colorectal Cancer Screening Behavior among Iranian Middle-Aged and Elderly: a Psychometric Study

Authors:  Shiva Khashij; Fatemeh Jalilian; Masoumeh Vaezi; Maryam Jalilian; Hassan Gharibnavaz; Touraj Ahmadi-Jouybari; Zahra Naghibifar; Hadis Karami
Journal:  Asian Pac J Cancer Prev       Date:  2018-08-24

10.  Global perspective on colonoscopy use for colorectal cancer screening: A multi-country survey of practicing colonoscopists.

Authors:  Céline Audibert; Anna Perlaky; Daniel Glass
Journal:  Contemp Clin Trials Commun       Date:  2017-06-24
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