Introduction
Most studies have shown that the risk for colorectal cancer is reduced after screening
colonoscopy and colonoscopy with polypectomy [1]
[2]
[3]
[4] and that the protective effect lasts for 10 years, because most cancers originate
from polyps (adenoma – carcinoma sequence) [5]. A post-colonoscopy colorectal cancer (PCCRC) is a cancer detected following a negative
screening colonoscopy, in which the cancer was hence not detected. Most PCCRCs probably
represent missed lesions or incompletely resected lesions and may be a reason for
quality concern [6]
[7]. Some colon cancers may, however, show a different biology, may be very aggressive
and grow faster. This study aimed to analyze the incidence of PCCRC in Belgium and
to define the influencing factors.
Patients and methods
Data sources
For this study, data from the Belgian Cancer Registry (BCR) and the Intermutualistic
Agency (IMA-AIM) were used. The BCR, a national population-based cancer registry,
is legally authorized to collect all data on new cancer diagnoses. These data are
provided by the oncological care programs and the laboratories for pathological anatomy.
The IMA-AIM collects all reimbursement data of medical procedures, provided by the
seven health insurance companies in Belgium. In Belgium, more than 99 % of people
are insured thanks to compulsory health insurance. All of these people are members
of one of the seven health insurance organizations in Belgium and are included in
the study. So more than 99 % of colonoscopies are captured in this study.
Study dataset
For the current analysis, the BCR pooled and coded reimbursement data on specific
procedures (listed in [Table 1]) from the IMA-AIM with colorectal cancer data, including information on clinical
and pathological staging. This dataset comprised data collected between 1 January
2002 and 31 December 2010, apart from Wallonia and Brussels due to incomplete data
between 2002 and 2004. Location and histology of the cancers were coded using the
International Classification of Diseases for Oncology (ICD-O-3). Based on the CRC
coding, the CRC site was classified into right-sided CRC (C 18.0 cecum, ileocecal
valve; C 18.2 ascending colon; C 19 hepatic flexure), middle-sided CRC (C 18.4 transverse
colon), left-sided CRC (C 18.5 splenic flexure; C 18.6 descending colon; C 18.7 sigmoid
colon; C 19 rectosigmoid junction, and C 20 rectum), and unspecified CRC location
(C 18.8 overlapping lesion in colon and C 18.9 colon, unspecified).
Table 1
Examinations recorded and terminology.
Nomenclature code as per IMA
|
Type of examination
|
Remarks
|
472452 – 472463
|
Rectosigmoidoscopy
|
|
473130 – 473141
|
Left colonoscopy
|
Withdrawn 1 February 2013
|
473174 – 473185
|
Total colonoscopy
|
Examination refunded for a complete or incomplete examination (until the hepatic flexure)
|
473955 – 473966
|
Additional number for polypectomy
|
Can be added to endoscopic examination since 1 February 2009
|
473432 – 473443
|
Ileoscopy
|
|
473756 – 473760
|
Ileoscopy with removal of tumor
|
|
473211 – 473222
|
Resection of polyps
|
Cannot be added to endoscopy; refunded only once a year
|
472511 – 472522
|
Rectoscopy
|
|
588011 – 588022
|
Pathologic examination
|
Charged by pathologist
|
Full Colonoscopy
|
Total colonoscopy or ileoscopy (without resection)
|
|
Full Procedure
|
Total colonoscopy or ileoscopy or polypectomy (with or without resection)
|
|
Polypectomy
|
Resection of polyps and additional number for resections of polyps
|
|
All appendiceal, non-epithelial, neuroendocrine, and unspecified tumors were omitted
([Fig. 1]).
Fig. 1 Patient flow chart.
By combining clinical and pathological TNM classification, stage was available for
80 % of all colorectal cancer cases.
Information about in situ or invasive carcinomas (behavior /2 and /3) was available
for all patients.
In total, 1731 patients with more than one tumor were present. For 1170 patients,
the incidence dates of tumors fell within 60 days and were considered to be synchronic
tumors. Metachronous tumors developed in 590 patients.
The staging of the tumors was classified as follows: T0N0M0; T1/T2N0M0; T3N0M0; T4N0M0;
T1/2N1M0; T3/4N1M0, any TN2M0; anyT, anyN, M1. In all analyses, staging was treated
as a continuous explanatory variable.
Definitions
We characterized colonoscopy as either false negative (FN) or true positive (TP) according
to Morris et al. [8]. We took into account only full procedures (total colonoscopy or ileoscopy or polypectomy
(resection polyp), [Table 1]).
Cancer was defined as a post-colonoscopy colorectal cancer (PCCRC) if a FN colonoscopy
preceded the detection or incidence date. Recording of a CRC may have been delayed
after colonoscopy, therefore all colonoscopies performed within 6 months before the
date of diagnosis were considered to be true positive colonoscopies. To take minor
administrative deviations into account, all colonoscopies performed within 2 weeks
after the date of diagnosis were also considered to be true positive colonoscopies.
PCCRC was defined as a cancer found during colonoscopy between 6 and 36 (721 – 1080
days) months after a negative colonoscopy. We chose this window because we had a data
set of only 10 years. This meant that, although we had data until 2010, the time period
2008 – 2010 could not be included for the estimation of PCCRC up to 36 months after
a negative colonoscopy due to the time perspective of the method ([Fig. 1]).
We calculated the PCCRC rate adapting the method described by Morris et al. [8]. In this method, the denominator is the number of colonoscopies in patients with
colorectal cancer. The appearance of cancer over 3 years is the gold standard: the
true positives plus the false negatives. The PCCRC rate is calculated as the number
of false negative colonoscopies divided by the gold standard. We adapted this method,
and calculated the PCCRC rate taking into account all false negative colonoscopies,
and not only the first false negative colonoscopy as was described by Morris et al.
([Fig. 2]). PCCRC is a characteristic of a colonoscopy, and one patient can have more than
one PCCRC. For our calculations with respect to tumor characteristics, analyses were
done at a patient level. By doing so, we were sure each patient was only counted once.
Fig. 2 Calculation of post-colonoscopy colorectal cancer (PCCRC).
Recently, Rutter et al. published the WEO recommendations for the methodology that
should be used to calculate PCCRC rate to ensure there is a consistent approach to
calculating rates. We also calculated PCCRC using the WEO recommendations, where only
one false negative colonoscopy (the closest) is included [9].
Methodology
For the calculation of PCCRC rates, all unique tumors were used because failing to
detect a tumor during colonoscopy can be considered to be a tumor-specific event.
For the survival analysis, however, survival after the diagnosis of the first tumor
was analyzed. In the case of synchronous tumors, the most severe tumor characteristics
were selected (invasive vs. in situ; and rank of staging) to be used in the analyses
when correcting for tumor characteristics.
We calculated PCCRC rates according to different patient [age, gender], tumor [location,
behavior], and colonoscopy [use of sedation (conscious sedation was defined as the
use of midazolam and fentanyl administered by the endoscopist, and deep sedation as
the use of propofol administered by the anesthesiologist), resection during colonoscopy,
and physician speciality] characteristics and compared them statistically using both
a univariate and multiple linear logistic regression. In the multiple linear logistic
ANOVA model, all factors significant in the univariate analysis were included. We
chose not to include all factors irrespective of their statistical significance to
avoid fitting overly complex models with a high likelihood of multicollinearity problems
and variance inflation. In addition, given the relatively high sample sizes in this
study, effects that were not statistically significant were very likely to be unimportant
and thus unlikely to have important effects in the multiple analyses if they had been
included. The relationships between the stage score and the occurrence of PCCRC colonoscopies
were analyzed using a logistic regression model.
Next, PCCRC rates were compared among groups of physicians with different polyp detection
rates (PDR), number of resections performed per year and number of full procedures
performed per year. We calculated PDR as all polypectomies divided by all full procedures.
A full procedure was defined as a total colonoscopy or ileoscopy (with or without
resection) or polypectomy ([Table 1]). A polypectomy was defined as a resection of a polyp, not just a recording. A logistic
ANOVA model was used to test for differences among these physician groups and pairwise
comparisons were based on the MCB method (multiple comparisons with the best) [10]. This technique allowed us to identify groups of physicians with relatively high
rates of PCCRC in order to make recommendations for minimal performances to reduce
PCCRC rates.
Between-physician and between-hospital variation in PCCRC rates are presented as funnel
graphs and tested for significance using a logistic ANOVA model.
Reference groups were defined as groups with the lowest a priori expected PCCRC (so
the expected odds ratios are greater than 1).
A survival analysis was performed to estimate differences in survival between patients
where the first diagnosed tumor was classified as an interval cancer/not interval
cancer. The well-known problem of lead time bias was avoided by calculating the survival
times from the time of colonoscopy instead of time of cancer diagnosis. In addition
to this problem of lead time bias, there is a second issue that requires an adaptation
of a classic survival analysis because patients with or without PCCRC have different
expected survival times due to the way PCCRC is defined. While all patients without
PCCRC will be present in the dataset, even if they die immediately after the colonoscopy
leading to the CRC diagnosis, patients with PCCRC must survive at least 6 and up to
36 months after colonoscopy to be available for analysis. For example, if a patient
with a FN colonoscopy dies 1 year later for whatever reason and before the CRC is
diagnosed, he/she will not end up in the dataset, while a patient with a TP at the
same time point would be part of the analysis. This aspect thus artificially increases
survival times of PCCRC patients (those who die early are missing from the dataset).
To avoid this second source of bias, our survival analysis was performed conditionally
and only based on patients still alive 3 years after the first colonoscopy. We performed
a Cox proportional hazards analysis with PCCRC/no PCCRC as a factor. The hazard ratio
was an estimate for a model without correcting for any covariates, as well as a model
correcting for possible effects of age, sex, tumor type, and location, the presence
of synchronous and metachronous tumors, and level of staging (as a continuous covariate).
Last observation date was 7 January 2013; this was the last date of death in our database.
A Kaplan – Meier survival curve was estimated.
Ethics
The transfer of personal data required for this study was approved by the Sector Committee
of Social Security and Health on 22 October 2013. All data were coded.
Results
As we described in our article about the quality of colonoscopy in Belgium [11], 1 027 949 full colonoscopies were performed in Belgium in 994 047 patients between
2002 and 2010.
Characteristics of tumors and patients
In Belgium, 63 518 colorectal cancers were diagnosed from 1 January 2002 until 31
December 2010.
All non-epithelial (mesenchymal and lymphoid tumors) were omitted, as were appendiceal
tumors, neuroendocrine and unclassified tumors, squamous cell and basaloid carcinomas
(6016 tumors), leaving 57 502 adenocarcinomas and its variants (code 8140, 8141, 8143,
8145, 8147, 8148, 8210, 8211, 8220, 8221, 8230, 8244, 8260, 8261, 8262, 8263, 8310,
8320, 8430, 8481, 8490, 8510, 8560, 8574, 8575, 8576).
In total, 6992 colorectal carcinomas were diagnosed without (charged) colonoscopy.
The characteristics of tumors, patients, and their PCCRC rates are shown in [Table 2]. Between 2002 and 2007, 1643 patients with 2126 false negative (FN) colonoscopies
were identified, which were considered to be PCCRC ([Fig. 1]). Of this group of patients, 1301 patients had one FN colonoscopy, 256 patients
had 2 FN colonoscopies, 52 patients had 3 FN colonoscopies, 23 patients had 4 FN colonoscopies,
5 patients had 5 FN colonoscopies, 3 patients 6 FN colonoscopies, 2 patients 7 FN
colonoscopies, and 1 patient had 8 FN colonoscopies ([Fig. 1]). The mean PCCRC rate among all cancers diagnosed within 36 months after all full
procedures performed between 2002 and 2007 was 7.6 %, and was somewhat lower (i. e.,
PCCRC = 5.1 %) when synchronous tumors occurred ([Table 2]). PCCRC rates differed significantly between different patient, tumor, and colonoscopy
characteristics (see [Table 2] for details and [Fig. 3] for a graphical summary).
Table 2
Overview of PCCRC rates after 6 – 36 months. Comparisons among patient, tumor, and
colonoscopy characteristics are provided and tested for their statistical significance.
|
|
Numbers and PCCRC (%)
|
Univariate
|
Multiple
|
Odds ratio
|
95 %CI
|
P value
|
Odds ratio
|
95 %CI
|
P value
|
All
|
FN
|
2126 (7.6)
|
–
|
–
|
–
|
–
|
–
|
–
|
FN + TP
|
28 100
|
All (without multiple tumors)
|
FN
|
2070 (7.6)
|
–
|
–
|
–
|
–
|
–
|
–
|
FN + TP
|
27 057
|
All (only double tumors)
|
FN
|
56 (5.4)
|
–
|
–
|
–
|
–
|
–
|
–
|
FN + TP
|
1043
|
|
|
|
|
|
|
Location
|
|
|
Overall test: χ2 = 143; d.f. = 4; P < 0.0001
|
χ2 = 141; d.f. = 4; P < 0.0001
|
|
FN
|
519 (5.6)
|
0.83
|
0.73 – 0.94
|
0.004
|
0.86
|
0.75 – 0.98
|
0.007
|
FN + TP
|
9332
|
|
FN
|
459 (6.6)
|
Reference
|
–
|
–
|
Reference
|
–
|
–
|
FN + TP
|
6911
|
|
FN
|
120 (11.1)
|
1.75
|
1.41 – 2.16
|
< 0.0001
|
1.79
|
1.44 – 2.21
|
< 0.0001
|
FN + TP
|
1082
|
|
FN
|
738 (9.8)
|
1.53
|
1.36 – 1.73
|
< 0.0001
|
1.61
|
1.42 – 1.82
|
< 0.0001
|
FN + TP
|
7513
|
|
FN
|
290 (8.9)
|
1.37
|
1.18 – 1.60
|
< 0.0001
|
1.34
|
1.14 – 1.56
|
< 0.0001
|
FN + TP
|
3262
|
Tumor behavior
|
|
FN
|
341 (13.3)
|
2.04
|
1.80 – 2.31
|
< 0.0001
|
2.17
|
1.91 – 2.45
|
< 0.0001
|
FN + TP
|
2224
|
|
FN
|
1785 (7.0)
|
Reference
|
–
|
–
|
Reference
|
–
|
–
|
FN + TP
|
23 750
|
Gender
|
|
FN
|
1201 (7.5)
|
Reference
|
–
|
–
|
Reference
|
–
|
–
|
FN + TP
|
15 990
|
|
FN
|
925 (7.6)
|
1.02
|
0.93 – 1.11
|
0.69
|
0.96
|
0.88 – 1.05
|
0.37
|
FN + TP
|
12 110
|
Deep sedation
|
|
FN
|
1673 (8.2)
|
1.44
|
1.29 – 1.60
|
< 0.0001
|
1.50
|
1.35 – 1.65
|
< 0.0001
|
FN + TP
|
18 700
|
|
FN
|
453 (5.9)
|
Reference
|
–
|
–
|
Reference
|
–
|
–
|
FN + TP
|
7274
|
Resection
|
|
FN
|
1214 (7.3)
|
Reference
|
–
|
–
|
Reference
|
–
|
–
|
FN + TP
|
15 497
|
|
FN
|
912 (8.6)
|
1.10
|
1.01 – 1.21
|
0.02
|
1.10
|
1.00 – 1.20
|
0.06
|
FN + TP
|
10 477
|
Speciality
|
|
|
Overall test: χ2 = 36.4; d.f. = 2; P < 0.0001
|
χ2 = 31.5; d.f. = 2; P < 0.0001
|
|
FN
|
27 (10.8)
|
2.04
|
1.34 – 3.00
|
0.0005
|
1.95
|
1.28 – 2.88
|
0.001
|
FN + TP
|
223
|
|
FN
|
550 (7.3)
|
1.33
|
1.20 – 1.48
|
< 0.0001
|
1.31
|
1.18 – 1.45
|
< 0.0001
|
FN + TP
|
6960
|
|
FN
|
1216 (5.6)
|
Reference
|
–
|
–
|
Reference
|
–
|
–
|
FN + TP
|
20 527
|
Age
|
|
|
Overall test: χ2 = 34.1; d.f. = 4; P < 0.0001
|
χ2 = 18.0; d.f. = 4; P < 0.0001
|
|
FN
|
188 (6.9)
|
Reference
|
–
|
–
|
Reference
|
–
|
–
|
FN + TP
|
2534
|
|
FN
|
347 (6.8)
|
0.99
|
0.82 – 1.19
|
0.91
|
0.99
|
0.82 – 1.19
|
0.91
|
FN + TP
|
4726
|
|
FN
|
607 (6.8)
|
0.99
|
0.83 – 1.16
|
0.86
|
0.95
|
0.80 – 1.13
|
0.53
|
FN + TP
|
8365
|
|
FN
|
785 (8.6)
|
1.27
|
1.07 – 1.50
|
0.005
|
1.17
|
0.99 – 1.38
|
0.06
|
FN + TP
|
8363
|
|
FN
|
199 (9.1)
|
1.35
|
1.10 – 1.60
|
0.004
|
1.18
|
0.96 – 1.46
|
0.12
|
FN + TP
|
1986
|
FN: false negatives, TP: true positives.
The reference group was estimated as the intercept of the statistical model.
Fig. 3 Bar chart of PCCRC rate according to patient, procedure, and tumor characteristics.
Black bars indicate groups that differ significantly from the reference groups. Reference
groups are defined as groups with the lowest a priori expected PCCRC (so the expected
odds ratios are greater than 1).
PCCRC was found more frequently in older people (more than 74 years old), but did
not differ between males and females ([Table 2]; [Fig. 3]). PCCRC occurred more frequently for tumors in the middle and right hemicolon compared
to the left hemicolon and for tumors of unknown location and overlapping areas. PCCRC
was higher for in situ tumors compared to invasive tumors ([Table 2]; [Fig. 3]). With respect to the characteristics of the colonoscopy, PCCRC rate was lower when
colonoscopies were performed by a gastroenterologist, when deep sedation was used,
but did not differ when a resection was or was not performed ([Table 2]; [Fig. 3]). PCCRC rates decreased significantly with the stage score (χ2 = 103, d.f. = 1, P < 0.0001; slope = – 0.06 (SE = 0.006).
PCCRC rate, calculated following the WEO recommendations, was 7.4 %.
Physician characteristics
PCCRC was more frequently associated with physicians with a low polyp detection rate
(PDR, defined as all polypectomies divided by all full procedures) (PDR less than
20 % vs. 20 % or higher, χ2 = 64.1, d.f. = 8, P < 0.0001, [Fig. 4], left panel), with physicians performing few resections a year (less than 80 resections
a year vs. 80 or more, χ2 = 62.3, d.f. = 10, P < 0.0001, [Fig. 4], middle panel), and with low-volume physicians (low volume calculated as performing
fewer than 225 full procedures per year, χ2 = 41.5, d.f. = 9, P < 0.0001, [Fig. 4], right panel). There was a more than 10-fold variation in PCCRC rates between individual
physicians in Belgium in the study period ([Fig. 5], left panel). The funnel graph showed that 20 % of the physicians fell outside the
95 % confidence bands and 7 % outside the 99 % confidence bands, which is in agreement
with the observed statistically significant variation ([Fig. 5]). There was also highly significant inter-hospital variation, where, according to
the funnel graph, 30 % and 14 % of the hospitals fell outside the 95 % and 99 % prediction
bands, respectively, again confirming the statistically significant variation ([Fig. 5], right panel).
Fig. 4 Differences in PCCRC rates among physicians with: left panel: different polyp detection
rates (PDR); middle panel: different numbers of resections performed on a yearly basis;
right panel: different numbers of full procedures performed on a yearly basis. Mean
PCCRC (SE) rates indicated in gray differ significantly from those indicated in black,
supporting a significantly higher PCCRC rate for physicians with PDR below 20 % (left
panel), with less than 80 resections performed per year (middle panel), and with less
than 225 full procedures performed per year (right panel).
Fig. 5 Funnel graph of: left panel: between-physician variation in PCCRC rates for physicians
with more than 50 colonoscopies (TP + FN) (χ2 = 476, degrees of freedom = 215, P < 0.0001); right panel: between-hospital variation in PCCRC rates for hospitals with
more than 100 colonoscopies (TP + FN) (χ2 = 288, degrees of freedom = 91, P < 0.0001). Solid and dashed lines reflect 95 % and 99 % prediction bands, respectively.
The horizontal line represents the average PCCRC rate across all physicians (left)
or hospitals (right).
Survival analysis
Conditional survival – being alive 3 years after colonoscopy – was significantly worse
for patients with PCCRC, both with and without correction for different covariates
([Table 3]). In spite of the fact that several of the variables were added to the Cox proportional
hazards model to obtain an adjusted estimate for the effect of PCCRC, the hazard ratios
were very similar in magnitude ([Table 3]). In patients without PCCRC, more than 50 % were still alive after 8 years, such
that median survival could not be determined. Comparisons at higher quantiles showed
that, in the PCCRC group, 80 % of the patients survived for 1.6 years (95 %CI: 1.2 – 2.0)
while this was 2.8 years (95 %CI: 2.6 – 2.9) for patients without PCCRC. For 60 %
survival, this was 4.7 years (95 %CI: 4.0 – 6.0) for the PCCRC group and 6.7 years
(95 %CI: 6.5 – 7.2) for patients without PCCRC ([Fig. 6]).
Table 3
Hazard ratios of the Cox proportional hazard model comparing conditional observed
survival of patients with or without PCCRC, and correcting for sex, tumor behavior
(in situ vs. invasive), tumor location (right and middle vs. others), age, presence
of multiple tumors (synchronous and metachronous) and level of staging (continuous
explanatory variable). The uncorrected hazard ratio for interval cancer is also provided.
Factor
|
Hazard ratio
|
95 % C. I.
|
P value
|
Sex
|
|
Reference
|
|
|
|
0.68
|
0.64 – 0.73
|
< 0.0001
|
Tumor type
|
|
Reference
|
|
|
|
1.26
|
1.07 – 1.47
|
0.0048
|
Tumor location
|
|
|
|
|
Reference
|
|
|
|
1.14
|
1.06 – 1.23
|
0.0003
|
Age
|
|
Reference
|
|
|
|
1.04
|
0.76 – 1.55
|
0.84
|
|
1.72
|
1.19 – 2.47
|
0.0042
|
|
2.57
|
1.73 – 3.67
|
< 0.0001
|
|
5.12
|
3.59 – 7.32
|
< 0.0001
|
|
10.5
|
7.23 – 15.2
|
< 0.0001
|
Multiple (synchronous)
|
|
Reference
|
|
|
|
1.10
|
0.87 – 1.39
|
0.42
|
Multiple (metachronous)
|
|
Reference
|
|
|
|
1.47
|
1.18 – 1.84
|
< 0.0001
|
Staging
|
1.07
|
1.06 – 1.08
|
< 0.0001
|
Interval cancer
|
|
|
Reference
|
|
|
|
1.35
|
1.18 – 1.53
|
< 0.0001
|
|
|
Reference
|
|
|
|
1.38
|
1.22 – 1.57
|
< 0.0001
|
Fig. 6 Conditional survival analysis (Kaplan – Meier curve uncorrected for other covariates
([Table 3])) for all patients still alive 3 years after date of first colonoscopy (year 0 on
x axis).
Discussion
In this retrospective study, we analyzed PCCRC rates in Belgium between 2002 and 2010
and their relationship to several characteristics of patients, tumors, and physicians.
The mean PCCRC rate in Belgium was 7.6 %. In other studies, rates from 12.1 % in England
[12] to 2.7 % in Denmark [13], and 7.2 % in the United States [14] have been observed. Thus, our estimates can be considered to be intermediate within
this range. Differences in methodology used to calculate PCCRC rate, with different
time frames and inclusion or exclusion criteria, have been invoked to explain these
variations [8]. These different methods used different time frames and different inclusion or exclusion
criteria.
We based our method on Morris et al. [8] but adapted their method. A standardized and uniform method to calculate PCCRC has
recently been described by Rutter et al. (WEO consensus) [9]. In that method, in contrast to the method we used, only one (the closest) false
negative colonoscopy was included, and all further false negative tests were reclassified
as true negative tests. The PCCRC rate calculated using this WEO recommendation was
7.4 %.
Characteristics of patients and tumor
Higher PCCRC rates with older age and on the right side of the colon as observed by
us were also described in other studies [12]
[14]
[15]
[16]. However, we did not find higher PCCRC rates in women as was described by Cheung
et al. [12].
The higher PCCRC rate in the right side of the colon can be because right-sided lesions
are more frequently serrated lesions, which are more difficult to detect and remove
completely [17]. Moreover, bowel preparation is more likely to be inadequate in the right hemicolon.
The histology of CRC and PCCRC was not analyzed in most studies, although it is recommended
by the WEO to omit all tumors for which colonoscopy is not considered the “gold standard”
for the diagnosis (WEO CONSENSUS [9]). We excluded all non-epithelial tumors, non-specified carcinomas and neuroendocrine
tumors, omitting 6016 tumors out of 63 518.
Significantly more in situ tumors were found in the PCCRC group. This in contrast
to other studies [18], where a higher likelihood of stage IV disease was found.
Characteristics of colonoscopy
While we found a significantly lower PCCRC rate with the use of deep sedation (consistent
with the observation in Belgium that more polyps are resected using deep sedation
[11]), this is contradictory to the lower adenoma detection rate under deep sedation
found by others [19]. Conscious sedation could limit the cecal intubation rate in technically more difficult
colonoscopies. However, turning of the patients in conscious sedation could lead to
better visualization of the mucosa [1]
[20]. In Belgium, most procedures are performed under deep sedation. However, turning
of patients under deep sedation is dependent on the practice of the anesthesiologist
in the hospital. Further investigation will be necessary to clarify these results.
In our study, no differences in PCCRC rates occurred when a polypectomy was or was
not performed during the colonoscopy. This contradicts other results where a doubling
of the risk of PCCRC has been described in the presence of a polypectomy [3]
[14]. We hypothesize that most PCCRCs in Belgium should be considered missed lesions.
As we demonstrated previously, intervals between colonoscopies in Belgium are shorter
than suggested by the guidelines [11]. This implies that the vast majority of remnants of partially resected polyps are
probably detected in a timely manner and removed. However, we have no information
about the medical background of the patients, so we could not exclude patients with
inflammatory bowel disease or hereditary nonpolyposis colorectal cancer (HNPCC). This
may explain why so many procedures were performed in some patients.
Characteristics of the endoscopist
We could demonstrate that PCCRC in Belgium during our study period was dependent on
the volume load (of procedures and polypectomies) performed by the physician. Although
some studies did not demonstrate a relationship with procedure volume [16], this was countered by others [12] where PCCRC indeed appeared to be associated with lower volume endoscopists. We
were able to demonstrate that there appears to be a threshold in our study in Belgium
of a minimum of 225 full procedures per year to minimize PCCRC ([Fig. 4], right panel). The recommended minimum number of procedures differs between guidelines
(European Commission, 300 procedures; National Health Service of the UK (NHS) Bowel
Cancer Screening Programme (BCSP), 150 screening procedures [21]). However, BCSP colonoscopies only account for 10 % of colonoscopies performed in
England, so for most colonoscopists, BCSP work is only a fraction of their practice.
In our study, the PCCRC rate did not diminish with higher colonoscopy volumes ([Fig. 5]). Also, we demonstrated that a minimum of 80 resections a year is necessary to minimize
PCCRC ([Fig. 4], middle panel). Furthermore, a PDR of a minimum 20 – 25 % seems necessary to minimize
PCCRC, as was demonstrated in [Fig. 4] (left panel).
PCCRC was thus highly significantly related to some physician characteristics, such
as the number of procedures and polypectomies performed by an endoscopist and the
PDR. This figure does not take into account the lifetime experience and overall competence
of physicians that are also important parameters that are not appreciated in the overall
numbers. However, these endoscopist characteristics could be used as surrogate quality
parameters [16].
Survival analysis
In 2016, an analysis of the percentage lost to follow-up was calculated as 2.01 %
for patients with colorectal tumors diagnosed between 2004 and 2014. We demonstrated
that conditional survival for PCCRC was worse than for CRC. This outcome was also
reported by Govindarajan et al. [18] who found that PCCRCs were associated with a significantly worse oncological outcome.
Most other studies, however, showed no difference in survival between individuals
with PCCRC and controls [6]
[13]
[22]
[23]. However, these studies did not calculate survival conditional on patients being
alive 3 years after colonoscopy. It is crucial, however, to use such a conditional
survival analysis to avoid bias by requiring patients with PCCRC to survive at least
6 months and up to 36 months to be available for analysis. This artificially increases
survival times of PCCRC patients and can be the reason that better or equal survival
times are reported in other studies. This effect can indeed be clearly seen in Fig. 2
of Samadder et al. [6] where the survival of PCCRC patients remains at a level of 100 % for the time frame
in which false negative colonoscopies can occur. This thus artificially increases
survival of PCCRC patients and biases the survival analyses, a problem we have solved
by using a conditional survival analysis. The hazard ratio of our survival analysis
was also corrected for stage, age, type of tumor, localization of the tumor, and sex.
Uncorrected survival analysis showed an even stronger effect of PCCRC. The hazard
of dying from PCCRC increased by 35 % compared to the CRC group ([Table 3]).
Older patients and patients with invasive carcinomas also had a worse outcome. Worse
survival of right-sided colorectal cancer is probably due to the older age of patients
with right-sided colorectal cancer.
The strength of our study is that it is the first review that comprises information
about all colonoscopies performed in Belgium during a 9-year follow-up period. The
limitations are that some quality parameters are missing or incomplete.
In conclusion, the PCCRC rate in Belgium decreased in the first 2 years and remained
stable thereafter at 7.6 % in the period 2002 – 2007. PCCRC was strongly related to
age, right-sided CRC, use of deep sedation, and highly significantly related to some
physician characteristics, such as the number of procedures and polypectomies performed
by an endoscopist, and the PDR.
Survival of patients with PCCRC was worse than for patients with CRC, stressing the
importance of a further reduction in PCCRC.
Although PCCRC rate and other quality parameters are not routinely measured at endoscopy
units in Belgium, we demonstrated that the number of procedures and polypectomies
performed by an endoscopist and the PDR could be some of the criteria used as surrogate
quality parameters. The number of procedures, however, depends on the lifetime numbers
and prior level of competence of endoscopists, but we did not have any information
about their age or competence. But just as Rex and Ponugoti recommended using an overall
adenoma detection rate (ADR) rather than screening-only ADR to simplify ADR measurement,
to increase the number of examinations and eliminate gaming by changing the colonoscopy
indication [24], systematic population data collection could prove a valuable tool to provide a
colonoscopy quality bundle that could be validated against outcomes such as post-colonoscopy
colorectal cancer.
These parameters can easily be recorded from reimbursement data, whereas the recording
of other quality parameters, such as cecal intubation rate and withdrawal time, is
dependent on the engagement of the endoscopist, and is susceptible to cheating as
no electronic report or photographic evidence is required in Belgium. In this way,
we think that systematic data collection from the population can provide us with parameters
that can be used to compose a useful quality bundle. If we have access to the pathology
of the resected polyps, we will even be able to calculate the ADR for the whole society
and for each physician. These parameters, although blunt indicators, can be used in
the first instance (in the absence of or awaiting a national colonoscopy register)
to assess performance by measuring true patient outcome, and PCCRC rate (by calculating
the amount of colonoscopies, the interval between colonoscopies, PDR, and ADR).