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Open Access 01.12.2022 | Research

Consolidative chemotherapy after definitive concurrent chemoradiotherapy for esophageal squamous cell carcinoma patients: a population based cohort study

verfasst von: Chen-Yuan Lin, Ming-Yu Lien, Chi-Ching Chen, Hsin-Yuan Fang, Yu-Sen Lin, Chien-Kuang Chen, Jian-Xun Chen, Ting-Yu Lu, Tzu-Min Huang, Te-Chun Hsieh, Shung-Shung Sun, Chia-Chin Li, Chun-Ru Chien

Erschienen in: BMC Gastroenterology | Ausgabe 1/2022

Abstract

Background

The role of consolidative chemotherapy (CCT) for locally advanced esophageal squamous cell carcinoma (LA-ESCC) patients treated with definitive concurrent chemoradiotherapy (dCCRT) is unclear. We aimed to compare the overall survival (OS) of those treated with vs without CCT via a population based approach.

Methods

Eligible LA-ESCC patients diagnosed between 2011 and 2017 were identified via the Taiwan Cancer Registry. We used propensity score (PS) weighting to balance observable potential confounders between groups. The hazard ratio (HR) of death and incidence of esophageal cancer mortality (IECM) were compared between those with vs without CCT. We also evaluated the OS in supplementary analyses via alternative approaches.

Results

Our primary analysis consisted of 368 patients in whom covariates were well balanced after PS weighting. The HR of death when CCT was compared to without was 0.67 (95% confidence interval 0.52–0.86, P = 0.002). The HR of IECM was 0.66 (P = 0.04). The HR of OS remained similarly in favor of CCT in supplementary analyses.

Conclusions

We found that CCT was associated with significantly improved OS for LA-ESCC patients treated with dCCRT. Randomized controlled trials were needed to confirm this finding.

Chen-Yuan Lin, Ming-Yu Lien, Chi-Ching Chen and Hsin-Yuan Fang contributed equally to this work

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

95% CI

95% Confidence interval

3DCRT

Three-dimensional radiotherapy

BMI

Body Mass Index

CCT

Chemo therapy

dCCRT

Definitive concurrent chemoradiotherapy

Hazard ratio

ICT

Induction chemotherapy

HWDC

Health and Welfare Data Science Center

IECM

Incidence of esophageal cancer mortality

IMRT

Intensity-modulated radiotherapy

LA-ESCC

Locally advanced esophageal squamous cell carcinoma

NHI

National Health Insurance

Overall survival

Primary analysis

PET

Positron emission tomography

Propensity Score

PSW

Propensity Score Weighting

RCT

Randomized controlled trial

Radiotherapy

SA-1

The first supplementary analysis

SA-2

The second supplementary analysis

SqCC

Squamous cell carcinoma

TCR

Taiwan cancer registry

Background

Esophageal cancer was one of the major causes of cancer mortality around the world including Taiwan [1, 2]. Squamous cell carcinoma (SqCC) was the common histology in the East whereas adenocarcinoma was more prevalent in the West [1, 2]. Most esophageal cancer patients were presented with locally advanced stage disease for whom definitive concurrent chemoradiotherapy (dCCRT) was commonly employed [3‐6]. However, the long term survival outcomes of locally advanced esophageal cancer patients treated with dCCRT was still not satisfactory [7‐10].

Treatment intensification via the use of consolidative (or called adjuvant) chemo therapy (CCT) after dCCRT for these patients may theoretically improve the outcome. However, it was not universally adopted as reflected in its mandatory use in some landmark randomized controlled trials (RCT) [8, 9] but excluded in the other RCTs [7, 10]. The role of CCT was also not clearly addressed in the current treatment guidelines [3‐6]. A systematic review published in 2021 reported overall survival (OS) was significantly improved in the short term (1 year hazard ratio (HR) 0.542, P < 0.001) but not in the long term (5 year HR 0.923 P = 0.555) when CCT was compared to without CCT [11]. However, all the six studies regarding CCT in this systematic review were retrospective reviews from limited institutes [12‐17]. Due to the lack of population based study, we aimed to compare the OS of locally advanced esophageal squamous cell carcinoma (LA-ESCC) patients treated with dCCRT with/without CCT via a population based approach.

Material and methods

Data source

Our study was a retrospective cohort study based on cancer registry. The analyzed data with personal identifiers removed was obtained from Health and Welfare Data Science Center (HWDC) database. The database included the Taiwan cancer registry (TCR), death registration, and reimbursement data for the whole Taiwan population provided by the Bureau of National Health Insurance (NHI). The TCR with comprehensive information (such as patient demographics, patient/disease/treatment characteristics) had been reported to be a good quality cancer registry [18]. This study had been approved by the Central Regional Research Ethics Committee at China Medical University Taichung Taiwan (CRREC-108-080 (CR2)).

Study design, study population, and intervention

The inclusion criteria of our study populations were (1) LA-ESCC adult (≥ 18 years old) patients diagnosed within 2011–2017 with locally-advanced stage defined as clinical stage cT2-4N0M0 or cT1-4N+M0 for the 7th American Joint Committee on Cancer staging; (2) treated with dCCRT without surgery according to the recording in TCR, with external beam radiotherapy 50–70 Gy in conventional fractionation. We excluded patients with multiple treatment records or prior other cancer(s) to ensure data quality. The study flowchart in concordant with STROBE statement [19] was depicted in Fig. 1.

The intervention (i.e., explanatory variable, with vs without CCT), the primary outcome (overall survival, OS) and the supplementary outcome (incidence of esophageal cancer mortality, IECM) were determined via the recordings of TCR or death registry. We defined the diagnostic date in TCR as the index date, and calculated OS/IECM from the index date to the death date (or Dec 31, 2019, i.e. the censoring date in death registry).

Covariates

We collected covariates according to our clinical knowledge [20] via modification from recent relevant studies [21] and our clinical research experiences [22‐24]. We used these covariates to adjust for potential nonrandomized treatment selection as defined as follows.

Patient demographics (age, gender, residency): age was classified as ≤ 58 or > 58 years old according a relevant study [21]. Patient residency region was classified as non-north or northern in Taiwan based on the variation in disease and care pattern we observed from clinical care and research experiences [24]. Patient characteristics (comorbidity, body mass index (BMI), drinking, smoking): comorbidity was determined by the modified Charlson comorbidity index score [25] and classified as with or without. BMI was classified as ≤ 18.5 or > 18.5 kg/m² according to a relevant recent study [21]. The drinking and smoking were classified as no or yes.

Disease characteristics (grade, tumor location, tumor size, clinical T- & N-stage, clinical stage): Grade was classified as poorly or well/moderately differentiated. Tumor location was classified as upper, middle or lower. Tumor size was classified by a diameter ≤ 5 or > 5 cm. The clinical T-stage was classified as T1–T2 or T3–T4. The clinical N-stage was classified as N0 or N1–N2. The clinical stage was classified as II or III.

Diagnostic and treatment characteristics (use of positron emission tomography (PET), reason for no surgery, radiotherapy (RT) modality, RT break, RT dose, induction chemotherapy): The reason for “no surgery” was classified as either with contraindication or without contraindication (but patient refused or surgery was not planned). RT modality were classified as three-dimensional radiotherapy (3DCRT) or intensity-modulated radiotherapy (IMRT). The use of PET was classified as no or yes. For RT break, patients with radiotherapy prolongation was classified as ≤ 1 or > 1 week. RT dose was classified as low (50–50.4 Gy) or high (50.4–70 Gy) dose. The induction chemotherapy (ICT) was classified as with ICT (according to the recording in TCR plus systemic therapy at least 3 weeks before radiotherapy [11, 21]) or without ICT (patients started systemic therapy no earlier than 1 week before radiotherapy was started [11, 21]).

Statistical analyses

In the primary analysis (PA), we adopted propensity score (PS) weighting (PSW) approach using overlap weight as the framework for analysis [26, 27]. To balance the measured potential confounders [28‐30], we evaluated the probability of receiving CCT (vs. without CCT) as PS via a logistic regression model based on the above covariates, and then assessed the balance in covariates between groups via standardized difference [20, 30, 31]. In the weighted sample, we compared the hazard ratio (HR) of death between groups via Cox proportional hazards model for point estimation, and used the bootstrap method to estimate the 95% confidence interval (95% CI) [32‐34]. We evaluated the impact of potential unmeasured confounder(s) via E-value as suggested in the literature [35]. We also estimated IECM via the competing risk approach [36] between groups in the weighted sample.

In the first supplementary analysis (SA-1), we used alternative analytic framework (PS matching, PSM) among the study population of primary analysis, and then constructed 1:1 PS matched cohorts to compare the HR of death between groups via a robust variance estimator [32]. In the second supplementary analysis (SA-2), we limited our study population to those with clinical response recorded in TCR and performed the PSW analysis in this subgroup to compare the HR of death as well as the response rate between groups.

All statistical analyses in this study were performed with the software SAS 9.4 (SAS Institute, Cary, NC) and R version 4.1.0 (R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria).

Results

Study population in the primary analysis

Our study population consisted of 368 eligible locally advanced esophageal squamous cell carcinoma patients treated with dCCRT plus CCT (n = 103) or no CCT (n = 265) within 2011–2017 (Fig. 1). The patient characteristics were described in Table 1. Two covariates (tumor location, use of PET) were imbalanced before PS weighting, but all covariates achieved balance [20, 31] after PS weighting via overlap weights.

Table 1

Patient characteristics of the study population in the primary analysis

	Patient characteristics before PSW			Patient characteristics (%) after PSW^a
	CCT (n = 103)	Without CCT (n = 265)	Standardized difference^b	CCT	Without CCT	Standardized difference^b
	Number (%)^b or mean (SD)^b	Number (%)^b or mean (SD)^b	Standardized difference^b	CCT	Without CCT	Standardized difference^b
Age (years)
≤ 58	53 (51)	139 (52)	0.020	50	50	≈ 0
> 58	50 (49)	126 (48)		50	50
Gender
Female	5 (5)	12 (5)	0.015	5	5	≈ 0
Male	98 (95)	253 (95)		95	95
Residency
Non-north	77 (75)	185 (70)	0.111	73	73	≈ 0
North	26 (25)	80 (30)		27	27
Comorbidity
Without	91 (88)	233 (88)	0.013	89	89	≈ 0
With^c	12 (12)	32 (12)		11	11
BMI (kg/m²)
≤ 18.5	22 (21)	62 (23)	0.049	21	21	≈ 0
> 18.5	81 (79)	203 (77)		79	79
Drinking
No	14 (14)	46 (17)	0.104	14	14	≈ 0
Yes	89 (86)	219 (83)		86	86
Smoking
No	10 (10)	43 (16)	0.195	11	11	≈ 0
Yes	93 (90)	222 (84)		89	89
Grade
Poorly	34 (33)	59 (22)	0.242	30	30	≈ 0
Well/moderately differentiated	69 (67)	206 (78)		70	70
Tumor location
Upper	56 (54)	97 (37)		50	50
Middle	34 (33)	122 (46)	0.269	36	36	≈ 0
Lower	13 (13)	46 (17)	0.133	14	14	≈ 0
Tumor size (cm)
≤ 5 cm	43 (42)	99 (37)	0.090	41	41	≈ 0
> 5 cm	60 (58)	166 (63)		59	59
Clinical T-stage
T1–T2	10 (10)	32 (12)	0.076	10	10	≈ 0
T3–T4	93 (90)	233 (88)		90	90
Clinical N-stage
N0	9 (9)	23 (9)	0.002	9	9	≈ 0
N1-N2	94 (91)	242 (91)		91	91
Clinical stage
II	11 (11)	30 (11)	0.020	12	12	≈ 0
III	92 (89)	235 (89)		88	88
Reason for no surgery
Without contraindication	99 (96)	248 (94)	0.115	95	95	≈ 0
With contraindication	4 (4)	17 (6)		5	5
RT modality
3DCRT	7 (7)	7 (3)	0.197	5	5	≈ 0
IMRT	96 (93)	258 (97)		95	95
Use of PET
No	45 (44)	77 (29)	0.308	37	37	≈ 0
Yes	58 (56)	188 (71)		63	63
RT break
≤ 1 week	79 (77)	197 (74)	0.055	76	76	≈ 0
> 1 week	24 (23)	68 (26)		24	24
RT dose
Low	25 (24)	88 (33)	0.198	26	26	≈ 0
High	78 (76)	177 (67)		74	74
Induction chemotherapy
Without	98 (95)	258 (97)	0.117	96	96	≈ 0
With	5 (5)	7 (3)		4	4

3DCRT, three-dimensional radiotherapy; BMI, Body Mass Index; CCT, consolidative chemotherapy; IGRT, image-guided radiotherapy; IMRT, intensity-modulated radiotherapy; PET, positron emission tomography; PSW, Propensity Score (PS) Weighting; RT, radiotherapy; SD, standard deviation

^aWeighted proportion for each group

^bRounded

^cModified Carlson comorbidity score ≥ 1

Primary analysis

During the follow-up period with median follow-up 12 months (range 2–107 months), 298 deaths were observed (78 and 220 for patients with CCT or without CCT respectively). For survivors, the median follow-up was 63 months (range 28–107). In the unadjusted analysis, the 5-year OS rate was 26% and 17% for those with CCT and without CCT respectively (log-rank test, P = 0.005; Fig. 2). In the PSW analysis, the 5-year PSW-adjusted OS rate between groups were 28% (with CCT) and 18% (without CCT) respectively. The overlap weights adjusted OS curve was shown in Fig. 3. When CCT was compared to without CCT, the PSW adjusted HR of death was 0.67 (95% confidence interval (95% CI) 0.52–0.86, P = 0.002). The observed HR 0.67 for OS could be explained by an unmeasured confounder associated with both selection of treatment and survival by a risk ratio of 1.97 (E-value) fold each, but weaker confounding factors could not. The result was also in favor of CCT for IECM (HR = 0.66, 95% CI 0.44–0.99, P = 0.04).

Supplementary analyses (SA-1, SA-2)

In the SA-1, we achieved all covariates balance (standardized difference ≤ 0.25 [31]) after PSM in the PS-matched subgroup (n = 182; Table 2). The 5-year OS rate was 26% (with CCT) and 19% (without CCT) respectively. The Kaplan Meier OS curve was shown in Fig. 4. There was also statistically significant difference for OS (HR = 0.69, 95% CI 0.50–0.94, P = 0.02).

Table 2

SA-1: patient characteristics of the PS-matched subgroup

	CCT (n = 91)		Without CCT (n = 91)		Standardized difference^a
	Number or mean (SD)^a	(%)^a	Number or mean (SD)^a	(%)^a	Standardized difference^a
Age (years)
≤ 58	47	(52)	44	(48)	0.066
> 58	44	(48)	47	(52)
Gender
Female	5	(5)	3	(3)	0.107
Male	86	(95)	88	(97)
Residency
Non-north	66	(73)	70	(77)	0.101
North	25	(27)	21	(23)
Comorbidity
Without	79	(87)	83	(91)	0.141
With^b	12	(13)	8	(9)
BMI (kg/m²)
≤ 18.5	20	(22)	14	(15)	0.170
> 18.5	71	(78)	77	(85)
Drinking
No	13	(14)	15	(16)	0.061
Yes	78	(86)	76	(84)
Smoking
No	10	(11)	10	(11)	0
Yes	81	(89)	81	(89)
Grade
Poorly	28	(31)	23	(25)	0.123
Well/moderately differentiated	63	(69)	68	(75)
Tumor location
Upper	46	(51)	44	(48)
Middle	32	(35)	35	(39)	0.068
Lower	13	(14)	12	(13)	0.032
Tumor size (cm)
≤ 5 cm	38	(42)	43	(47)	0.111
> 5 cm	53	(58)	48	(53)
Clinical T-stage
T1–T2	10	(11)	9	(10)	0.036
T3–T4	81	(89)	82	(90)
Clinical N-stage
N0	9	(10)	8	(9)	0.038
N1–N2	82	(90)	83	(91)
Clinical stage
II	11	(12)	10	(11)	0.034
III	80	(88)	81	(89)
Reason for no surgery
Without contraindication	87	(96)	87	(96)	0
With contraindication	4	(4)	4	(4)
RT modality
3DCRT	6	(7)	3	(3)	0.152
IMRT	85	(93)	88	(97)
Use of PET
No	34	(37)	36	(40)	0.045
Yes	57	(63)	55	(60)
RT break
≤ 1 week	69	(76)	70	(77)	0.026
> 1 week	22	(24)	21	(23)
RT dose
Low	23	(25)	22	(24)	0.025
High	68	(75)	69	(76)
Induction chemotherapy
Without	87	(96)	86	(95)	0.051
With	4	(4)	5	(5)

^aRounded

^bModified Carlson comorbidity score ≥ 1

In the SA-2, covariate balance was also achieved after PSW although some were imbalanced before PSW as shown in Table 3 (n = 246). Comparisons between groups revealed significantly better OS for those with CCT versus without CCT [PSW adjusted HR 0.68 (95% CI 0.49–0.92, P = 0.013). The crude response rate (77% vs. 68%) was higher for those with vs without CCT, but without statistical significance (PSW adjusted odds ratio (OR) 1.61, 95% CI 0.62–2.60, P = 0.23).

Table 3

SA-2: patient characteristics of the subgroup with clinical response recorded

	Patient characteristics before PSW			Patient characteristics (%) after PSW^a
	CCT (n = 79)	Without CCT (n = 167)	Standardized difference^b	CCT	Without CCT	Standardized difference^b
	Number (%)^b or mean (SD)^b	Number (%)^b or mean (SD)^b	Standardized difference^b	CCT	Without CCT	Standardized difference^b
Age (years)
≤ 58	42 (53)	90 (54)	0.015	51	51	≈ 0
> 58	37 (47)	77 (46)		49	49
Gender
Female	4 (5)	7 (4)	0.042	5	5	≈ 0
Male	75 (95)	160 (96)		95	95
Residency
Non-north	60 (76)	119 (71)	0.107	74	74	≈ 0
North	19 (24)	48 (29)		26	26
Comorbidity
Without	69 (87)	146 (87)	0.003	88	88	≈ 0
With^c	10 (13)	21 (13)		12	12
BMI (kg/m²)
≤ 18.5	15 (19)	36 (22)	0.064	19	19	≈ 0
> 18.5	64 (81)	131 (78)		81	81
Drinking
No	11 (14)	22 (13)	0.022	14	14	≈ 0
Yes	68 (86)	145 (87)		86	86
Smoking
No	8 (10)	20 (12)	0.059	11	11	≈ 0
Yes	71 (90)	147 (88)		89	89
Grade
Poorly	25 (32)	40 (24)	0.172	31	31	≈ 0
Well/moderately differentiated	54 (68)	127 (76)		69	69
Tumor location
Upper	43 (54)	65 (39)		50	50
Middle	25 (32)	75 (45)	0.275	35	35	≈ 0
Lower	11 (14)	27 (16)	0.063	15	15	≈ 0
Tumor size (cm)
≤ 5 cm	34 (43)	61 (37)	0.133	43	43	≈ 0
> 5 cm	45 (57)	106 (63)		57	57
Clinical T-stage
T1–T2	7 (9)	17 (10)	0.045	8	8	≈ 0
T3–T4	72 (91)	150 (90)		92	92
Clinical N-stage
N0	7 (9)	8 (5)	0.162	7	7	≈ 0
N1–N2	72 (91)	159 (95)		93	93
Clinical stage
II	9 (11)	14 (8)	0.101	10	10	≈ 0
III	70 (89)	153 (92)		90	90
Reason for no surgery
Without contraindication	75 (95)	154 (92)	0.111	94	94	≈ 0
With contraindication	4 (5)	13 (8)		6	6
RT modality
3DCRT	7 (9)	4 (2)	0.283	5	5	≈ 0
IMRT	72 (91)	163 (98)		95	95
Use of PET
No	34 (43)	42 (25)	0.384	35	35	≈ 0
Yes	45 (57)	125 (75)		65	65
RT break
≤ 1 week	63 (80)	125 (75)	0.117	79	79	≈ 0
> 1 week	16 (20)	42 (25)		21	21
RT dose
Low	19 (24)	54 (32)	0.185	26	26	≈ 0
High	60 (76)	113 (68)		74	74
Induction chemotherapy
Without	74 (94)	162 (97)	0.159	95	95	≈ 0
With	5 (6)	5 (3)		5	5

3DCRT, three-dimensional radiotherapy; BMI, Body Mass Index; CCT, consolidative chemotherapy; IGRT, image-guided radiotherapy; IMRT, intensity-modulated radiotherapy; PET, positron emission tomography; PSW, propensity score weighting; RT, radiotherapy; SD, standard deviation

^aWeighted proportion for each group

^bRounded

^cModified Carlson comorbidity score ≥ 1

Discussion

In our population based cohort study, we found that CCT was associated with significantly improved OS for LA-ESCC patients treated with dCCRT. This was the 1st population based study to our knowledge.

In our mind, our results were compatible with the results in the above-mentioned systematic review in that the point estimate of HR for OS was in favor of CCT [11]. In another systematic review published in 2021 (not limited to SqCC but consisted of mainly SqCC patients) [37], favorable OS (HR 0.72; 95% CI 0.59–0.86, P < 0.001) and response rate (OR 1.44; 95% CI 0.62–3.35, P = 0.393) were reported. Our results were relatively close to these results. When we looked at the relevant individual studies [12‐17] included in the above systematic review [11], the details were summarized below. Wu et al. compared 67 patients in the CCT group vs 142 patients in control group treated at a single institute and found CCT improved the overall survival with HR 0.67 [12]. In 524 PS matched patients treated from two institutes, Liu et al. reported OS HR 0.92 [13]. Chen et al. investigated 187 patients (89 with CCT whereas 98 without CCT) treated at two institutes and reported OS HR 0.971 in the univariate analyses [14]. Among 124 patients (65 with CCT and 59 without CCT) treated with dCCRT from a single institute, Chen et al. reported the median OS to be 19 months (without CCT) vs. 25 months (with CCT) [15]. From 73 patients treated with dCCRT at three institutes, Koh et al. reported CCT improved OS (3-year, 24.2% vs. 11.8%, P = 0.004) [16]. Among 222 patients (113 with CCT and 109 without CCT) treated with dCCRT from a single institute, Zhang et al. reported the median OS to be 18 months (without CCT) vs. 33 months (with CCT) (P = 0.003) [17]. Therefore, our results were compatible with most of these studies [12, 15‐17] in favor of CCT. Furthermore, our study utilized papulation-based cancer registry so were more representative than these studies relied on patients from one ~ three institutes.

The interpretation of our results seems strait forward because the outcomes were improved after treatment intensification. However, RCT were needed to confirm our finding because negative results of CCT had been reported in other disease sites such as lung cancer [38]. The generalizability of our finding to current practice was also not clear in the era of immunotherapy [39, 40].

There were several limitations in our study. First of all, there were always concerns regarding potential unmeasured confounder(s) in non-randomized studies although we had used propensity score to adjust for measured covariates and used E value to address the impact of the potential unmeasured confounders. For example, radiotherapy volume or chemotherapy regimens or cycles may be imbalance between groups but were not considered in our study due to data limitation. Therefore, we reported the E value (1.97) as suggested in the literature to evaluate the potential impact of possible unmeasured confounder(s) [35]. Secondly, other endpoints such as progression free survival or quality of life may also be important but were not investigated due to data limitation as well.

Conclusions

We found that CCT was associated with significantly improved OS for LA-ESCC patients treated with dCCRT. RCT was needed to confirm this finding.

Acknowledgements

The data analyzed in this study were provided by the Health and Welfare Data Science Center, Ministry of Health and Welfare, Executive Yuan, Taiwan. We are grateful to Health Data Science Center, China Medical University Hospital for providing administrative, technical and funding support.

Declarations

All methods were carried out in accordance with relevant guidelines and regulations. All experimental protocols were approved by Central Regional Research Ethics Committee China Medical University. All study participants in the Taiwan Cancer Registry were deidentified so that the Central Regional Research Ethics Committee China Medical University had waived our study from the need of participants’ informed consent [CRREC-108-080 (CR2)].

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Titel: Consolidative chemotherapy after definitive concurrent chemoradiotherapy for esophageal squamous cell carcinoma patients: a population based cohort study
verfasst von: Chen-Yuan Lin
Ming-Yu Lien
Chi-Ching Chen
Hsin-Yuan Fang
Yu-Sen Lin
Chien-Kuang Chen
Jian-Xun Chen
Ting-Yu Lu
Tzu-Min Huang
Te-Chun Hsieh
Shung-Shung Sun
Chia-Chin Li
Chun-Ru Chien
Publikationsdatum: 01.12.2022
Verlag: BioMed Central
Erschienen in: BMC Gastroenterology / Ausgabe 1/2022
Elektronische ISSN: 1471-230X
DOI: https://doi.org/10.1186/s12876-022-02464-x

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Background

Material and methods

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Study design, study population, and intervention

Covariates

Statistical analyses

Results

Study population in the primary analysis

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