Association between the frequency of tooth brushing and esophageal carcinoma risk: an update systematic review and meta-analysis
Original Article

Association between the frequency of tooth brushing and esophageal carcinoma risk: an update systematic review and meta-analysis

Li Zhu1#, Jianjun Wang2#, Quan Zhang2, Tian Xia2, Shuai Hu2, Wenjian Yao2*, Li Wei2*

1Department of Thoracic Surgery, Zhengzhou University People’s Hospital/Henan Provincial People’s Hospital, Zhengzhou, China; 2Department of Thoracic Surgery, Henan Provincial People’s Hospital/People’s Hospital of Zhengzhou University/School of Clinical Medicine, Henan University, Zhengzhou, China

Contributions: (I) Conception and design: L Zhu, WJ Yao, L Wei; (II) Administrative support: WJ Yao, L Wei; (III) Provision of study materials or patients: T Xia, S Hu, Q Zhang; (IV) Collection and assembly of data: L Zhu, JJ Wang, T Xia; (V) Data analysis and interpretation: L Zhu, JJ Wang, Q Zhang; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

#These authors contributed equally to this work as co-first authors.

*These authors contributed equally to this work as corresponding authors.

Correspondence to: Wenjian Yao, Li Wei. 7 Weiwu Road, Jinshui District, Zhengzhou 450003, China. Email: Dr.yaowj@zzu.edu.cn; wlixxt@163.com.

Background: Lower frequency of tooth brushing was thought to be associated with esophageal carcinoma (EC). However, some researchers suggested that this association did not exist or had not yet reached statistical significance. The purpose of this study was to calculate a more precise estimation of the relationship between the frequency of tooth brushing and the risk of EC by combining the results between different studies using the meta-analysis.

Methods: We searched the PubMed, Embase, Web of Science, and Scopus electronic databases up to July 2021. According to PECO approach (Population, Exposure, Comparator and Outcomes), we assessed the association between tooth brushing frequency and EC risk which reported the adjusted risk ratios (adjRR), hazard ratios (adjHR), or odds ratios (adjOR) with 95% confidence interval (CI). The random effects model was used to quantitatively evaluate the combined results. Two researchers independently evaluated the risk bias of the included studies using the Newcastle-Ottawa Scale (NOS). The robustness of results was evaluated by subgroup analysis, sensitivity analysis, and publication bias.

Results: In total, we identified 13 articles with 14 case-control studies which included 16,773 participants and 5,673 patients. Pooled results showed the lowest frequency of brushing was significantly associated with an increased risk of EC in comparison to the highest (adjOR: 2.00, 95% CI: 1.61–2.48). There was moderate heterogeneity among included studies (P=0.001, I2=61.4%). The original studies included in this meta-analysis were all case-control studies. Study quality was all moderate or above based on NOS score ranges of 6 stars or more.

Conclusions: Available evidence suggests a low frequency of tooth brushing may be an important risk factor for EC. However, higher quality studies should continue to be conducted to investigate the optimal threshold of brushing frequency for the prevention of EC.

Keywords: Tooth brushing; esophageal carcinoma (EC); esophageal squamous cell carcinoma (ESCC); meta-analysis


Submitted Jan 12, 2022. Accepted for publication Apr 20, 2022.

doi: 10.21037/jgo-22-214


Introduction

Esophageal carcinoma (EC) comprises two major histological subtypes: esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) (1). According to global cancer statistics, EC ranks seventh in prevalence among all worldwide cancers, and as the disease is frequently diagnosed at an advanced stage, the five-year survival rate is about 20% or less (2). Although diagnosis and treatment technologies of EC have been improving, the survival and prognosis of patients remains a serious problem (3,4). Studies have shown that there are significant geographical differences in the incidence of EC, suggesting that it is strongly influenced by environmental factors and lifestyle habits. Smoking, alcohol, and Helicobacter pylori infection are all considered to be important risk factors for EC (5,6).

Recently, the role of oral health as an important factor in the pathogenesis of EC is attracting increasing attention. Epidemiological studies have shown poor oral hygiene caused by tooth loss or ulcers is a risk factor for oral cancer, esophageal cancer, and other upper gastrointestinal malignancies (7,8). Tooth brushing is the most convenient and routine way to maintain oral hygiene, and some studies have suggested brushing may have a protective effect against EC (9,10). However, some studies have supported that frequency of tooth brushing is not associated with EC or that the association has not reached statistical significance (11,12). Most studies have investigated toothbrushing frequency by using several questions. Within response categories, the grouping settings for brushing frequency can vary considerably and may be underestimated. Meta-analysis was widely used to address controversies in a particular research topic. By combining results in different studies, it could provide more precise estimates (13,14).

A previous meta-analysis by Chen et al. [2015] assessed the relationship of tooth brushing frequency with EC risk. However, they included only eight case-control studies published from 1992 to 2014 (15), and the validity and robustness of the results were limited due to a high risk of bias. As the number of investigations with various design, origins, and samples has increased since that study, adding additional studies will improve the accuracy and robustness of the effect size in a meta-analysis and potentially clarify the results.

Considering the addition of new studies after 2014 and the inadequacy of the previous meta-analysis, it is necessary to conduct a meta-analysis of current literature to synthesize the available evidence. We aimed to update available epidemiological evidence and determine the association between tooth brushing frequency and the risk of EC. We present the following article in accordance with the MOOSE reporting checklist (16) (available at https://jgo.amegroups.com/article/view/10.21037/jgo-22-214/rc).


Methods

The research question was formulated a priori as: “What is the relationship between the frequency of tooth brushing and the risk of esophageal carcinoma in the general population?” We hypothesized that lower brushing frequency is associated with EC risk.

Search strategy

The relevant literature was searched in the PubMed, Embase, Web of science, and Scopus electronic databases up to July 25, 2021. We searched for all observational studies including cohort, case-control, and cross-sectional studies that examined the association between the frequency of tooth brushing and the risk of EC. We used different combinations of the keywords “toothbrushing”, “oral hygiene”, “dental health”, “esophageal carcinoma”, “esophageal”, and “upper gastrointestinal tract carcinoma”. The MeSH terms and free words were combined to acquire better retrieval result in PubMed, and we manually checked the reference lists of retrieved articles for inclusion in the meta-analysis. The detailed search strategy can be found in Table S1.

Study selection

The following inclusion criteria were applied, which generally met the PECO approach: (I) Population: general population. (II) Exposure: frequency of tooth brushing per day or per week. (III) Comparator: risk estimates for the lowest frequency of tooth brushing. (IV) Outcome: any type or epoch of EC reporting the adjusted risk ratio (adjRR), hazard ratio (adjHR), or odds ratio (adjOR) with 95% confidence interval (CI) of EC associated with the frequency of tooth brushing or provided sufficient date to calculate them. (V) Animal studies, clinical trials, letters, reviews, and commentaries were excluded. Two reviewers (LZ and JW) independently screened and assessed the eligible studies, and disagreements were resolved through consultation with a third author (LW). The EndNote X9 software (Clarivate Analytics, US) was used to perform the screening and de-duplication of the literature.

Data extraction and quality assessment

Two investigators (LZ and JW) independently completed the data extraction, which was confirmed by another researcher (WY). The following characteristics were extracted for each eligible article: first author, publication year, study design, location, sex, age, type of EC, number of participants and cases, adjusted risk estimates with 95% CI, and adjusted factors. Differences in data extraction were resolved by consensus.

The Newcastle-Ottawa Scale (NOS) was used to evaluate the qualities of cohort, case control, and cross-sectional studies (17). The scale assesses three items: selection, exposure/outcome, and comparability, and the quality of each study is categorized as poor (0–3 stars), fair (4–6 stars), and good (≥7 stars). According to the NOS scale, a higher quality represents a study with a lower risk of bias. We set the risk of bias for the studies to be classified as low (‘good’ quality), medium (‘fair’ quality), and high (‘poor’ quality), respectively (18). The risk of bias for selected articles was evaluated independently by two reviewers (LZ and JW). Discrepancies were resolved through discussion.

Statistical analysis

Data analyses were conducted with STATA15.0 (College Station, TX, USA) and all tests were two-sided with a significance level of 0.05. We calculated the combined adjusted risk between the frequency of tooth brushing and the risk of EC using a random effects model and showed the adjusted risk and 95% CI for each study using forest plots. We used adjOR (95% CI) for cross-sectional and case-control studies and adjRR (95% CI) for cohort studies as risk estimates.

Heterogeneity among studies was assessed by the Q statistic with reporting the I2 index. According to the estimated I2 values, 25%, 50%, and 75% indicated low, moderate, and high degrees of heterogeneity (19).

Subgroup and sensitivity analyses

Subgroup analyses were stratified by study location, publication year, case type, family history of EC, controlling for drinking, and controlling for smoking to determine the possible influence of factors. Moreover, sensitivity analysis was performed to explore the key study which had a substantial impact on the overall risk estimates.

Publication bias

Potential publication bias was assessed by funnel plot, Egger’s regression test, and Begger’s funnel plot (20,21). In addition, we used the Duval and Tweedie’s nonparametric trim-and-fill to adjust potential publication bias (22).


Results

Literature search

Figure 1 displays the literature retrieval selection process. Initially, based on the retrieval strategy, a total of 2,353 published articles were identified, including 64 from PubMed, 101 from Embase, 2,032 from Web of Science, and 156 from Scopus. After excluding duplicates (n=223), the remaining 2,130 articles were subjected to a titles and abstracts check, resulting in the exclusion of 2,087 which did not meet the inclusion criteria. Eventually, we conducted a full-text review of the remaining citations (n=43) and finally 13 articles with 14 studies were included in the meta-analysis.

Figure 1 Flow diagram of identification of relevant observational studies. Note: 7 studies with 6 reports included in previous meta-analysis (up to Aug 1st, 2014) by Chen et al. [2015] (15) were also included in this meta-analysis (up to July 25, 2021).

Characteristics of the included studies

The main characteristics of the 13 eligible articles with 14 studies are described in the Table 1. Eligible studies were published from 1992 to 2020 (9-12,23-31), and six were published after 2014 (9,10,25-28). A total of 16,773 participants and 5,673 patients were included and were composed of ten case-control studies that reported the association between tooth brushing and ESCC risk and three reporting the association between tooth brushing and EC (ESCC and other types of EC) risk. The study in 1992 (11) conducted two separate case-controls and reported on the risk of EC in two populations in different areas. All were case-control studies and deemed as moderate to high quality with a rank of 6–8 stars according to NOS (the mean NOS score was 7.28). Of the 13 included studies (9-12,23-31), one study scored <7 with moderate risk of bias (11) and all other studies scored ≥7 with low risk of bias (9,10,12,23-31).

Table 1

Main characteristics of the included studies involving toothbrushing and the risk of esophageal carcinoma

First author [publication year], region Study design Sex, age Participants Cases Definition and grouping of exposure Definition of outcome Adjustment factors Lowest vs. highest, OR [95% CI] Study quality
Wang Y I (11) [1992], Asia Case-control M&F, ≥30 413 210 Self-reported brushing frequency: 0; ≥1/day Ascertained from hospital registries (X-ray) Age, sex and occupation 0 vs. ≥1, 0.91 [0.56, 1.43] 6
Wang Y II (11) [1992], Asia Case-control M&F, >30 305 116 Self-reported brushing frequency: 0; ≥1/day Ascertained from hospital registries (pathologic examination) Age, sex and occupation 0 vs. ≥1, 5 [2, 10] 6
Guha N (12) [2007], South America Case-control M&F, >0 454 95 Self-reported brushing frequency: 0; <1; 1; ≥2/day Ascertained from hospital registries (histologically or cytologically confirmed diagnosis of squamous cell carcinoma) Age, sex, country/center, education, tobacco pack-years, cumulative alcohol consumption <1 vs. ≥2, 0.39 [0.11, 1.31] 8
Sato F (23) [2011], Asia Case-control M&F, ≥20 1,617 387 Self-reported brushing frequency: 1; ≥2/day Ascertained from study visits and review of hospital discharge lists and medical charts Age, sex, amount of smoking and alcohol consumption, intake of vegetables, fruits, BMI, occupation, and number of remaining teeth 1 vs. 2, 0.67
[0.12, 3.88]
7
Dar N (24) [2013], Asia Case-control M&F, >18 2,338 702 Self-reported brushing frequency: 0; <1; ≥1/day Ascertained from hospital registries and completed questionnaires Age, ethnicity, residence, education, wealth score, fruit and vegetable intake, smoking, gutka chewing, alcohol consumption and cumulative use of hookah, cigarette 0 vs. ≥1, 2.27 [1.29, 4] 7
Menya D (25) [2019], Africa Case-control M&F, ≥18 870 430 Self-reported brushing frequency: 0; ≥1/day Ascertained from hospital registries morphological examination and pathologic examination Age, sex, ethnicity, alcohol+tobacco, alcohol intensity, very hot/hot/warm beverage drinking, family history of esophageal cancer, education, brushing frequency, brush type, Sum of number of Decayed, Missing, Filled Teeth, dental fluorosis 0 vs. ≥1, 2.5 [1, 6] 8
Chen X (26) [2017], Asia Case-control M&F, ≥40 1,377 613 Self-reported brushing frequency: ≤1; ≥2 /day Ascertained from study visits, the local Cancer Registry and review of hospital discharge lists and medical charts Age, sex, education, marital status, tobacco smoking, alcohol drinking, tea drinking, family history of esophageal cancer, daily consumption of pickled vegetables, daily consumption of fresh fruits, and wealth score. ≤1 vs. ≥2, 1.81 [1.37, 2.38] 8
Mmbaga B (10) [2020], Africa Case-control M&F, ≥18 623 310 Self-reported brushing frequency: 0; ≥1 /day Ascertained from hospital registries Age, sex, education, region/district and ethnicity, alcohol, tobacco 0 vs. ≥1, 2.77 [1.20, 6.43] 8
Chen T (27) [2015], Asia Case-control M&F, ≥45 1,391 619 Self-reported brushing frequency: <2; ≥2/day Ascertained from hospital registries Age, sex, family size <2 vs. ≥2, 1.91 [1.49, 2.44] 7
Chen X (28) [2015], Asia Case-control M&F 571 171 Self-reported brushing frequency: <2; ≥2/day Ascertained from study visits and hospital registries Age, sex, education, smoking, alcohol drinking, family history of esophageal cancer <2 vs. ≥2, 3.18 [1.52, 6.67] 7
Abnet C (29) [2008], Asia Case-control M&F, ≥18 843 283 Self-reported brushing frequency:0; <1; ≥1 /day Ascertained from hospital registries and Primary Health Care System Age, sex, place of residence, ethnicity, alcohol drinking, use of tobacco, opium, or both, education in three categories, number of appliances, and fruit and vegetable intake 0 vs. ≥1, 2.37 [1.42, 3.97] 8
Ahrens W (30) [2014], Europe Case-control M&F 1,966 234 Self-reported brushing frequency:0; ≥1/day Ascertained from study visits and hospital registries Age, sex, study center; smoking status, cumulative tobacco consumption, alcohol drinking duration, education, consumption of fruits and vegetables 0 vs. ≥1, 1.56 [1.08, 2.25] 7
Ekheden I (9) [2020], Asia Case-control M&F, ≥40 3,188 1,210 Self-reported brushing frequency: ≤1; ≥2/day Ascertained from local hospitals and the local cancer registry Age, sex, duration, marital status, occupation, family wealth score, body mass index 10 years before, tea drinking, history of esophageal cancer among first-degree relatives, smoking, alcohol consumption ≤1 vs. ≥2, 2.14 [1.72, 2.65] 7
Nasrollahzadeh D (31) [2012], Asia Case-control M&F 817 293 Self-reported brushing frequency:0; ≥1 /day Ascertained from study visits, family health census and hospital registries Age, sex, residence area, ethnicity, alcohol consumption, tobacco or opium use, education and vegetable/fruit consumption 0 vs. ≥1, 4.12 [2.05, 8.28] 8

Association between tooth brushing and the risk of EC

Figure 2 shows the pooled adjOR for the risk of EC in relation to the frequency of tooth brushing. Compared with the highest frequency of tooth brushing, participants in the lowest category had an increased risk for EC (pooled adjOR, 2.00; 95% CI, 1.61–2.48), and there was moderate heterogeneity across studies using random-effects models (I2=61.4%; P=0.001).

Figure 2 Forest plot of association between tooth brushing and the risk of esophageal carcinoma.

Results of subgroup and sensitivity analyses

Subgroup analyses were established by study location, published years, the type of outcomes, controlling for smoking, and controlling for alcohol drinking to assess whether specific study characteristics influenced the overall risk estimates (Table 2). In general, the results were similar across the subgroups and showed brushing teeth once a day or not was positively associated with EC risk. After sensitivity analysis, the pooled estimates changed range between 1.91 (95% CI, 1.55–2.34) and 2.13 (95% CI, 1.76–2.58) without any material influence (Figure 3).

Table 2

Subgroups of the included studies

Subgroup Number of studies Risk estimated per 10 dB (95% CI) P for heterogeneity I2 (%)
State
   Asia 10 2.10 (1.66–2.66) 0003 63.4
   Europe 1 1.56 (1.08–2.25)
   South America 1 0.39 (0.11–1.35)
   Africa 2 2.64 (1.43–4.87) 0.870 0.0
Publication year
   ≤2014 8 1.80 (1.13–2.87) 0.000 76.0
   >2014 6 2.04 (1.78–2.33) 0.659 0.0
Case type
   Esophageal carcinoma 4 1.60 (0.80–3.19) 0.003 78.3
   Esophageal squamous cell carcinoma 10 2.14 (1.78–2.57) 0.109 37.5
Family history of esophageal carcinoma
   Yes 4 2.07 (1.76–2.43) 0.483 0.0
   No 10 1.91 (1.36–2.66) 0.000 70.3
Controlling for alcohol drinking
   Yes 11 2.07 (1.61–2.57) 0.058 43.9
   No 3 1.92 (0.93–3.97) 0.001 86.2
Controlling for smoking
   Yes 11 2.07 (1.61–2.57) 0.058 43.9
   No 3 1.92 (0.93–3.97) 0.001 86.2
Figure 3 Sensitivity analysis plot to evaluate the effect of each study on the overall estimate.

Results of publication bias

While funnel plot asymmetry indicated evidence of publication bias (Figure 4), Egger’s test presented no publication bias in this meta-analysis (P=0.87). In addition, we used trim-and-fill analysis further confirming the stability of our study results and found that one missing study would make the funnel plot symmetric (Figure 5).

Figure 4 Funnel plot with 95% confidence interval.
Figure 5 Filled funnel plot of odds ratio from studies investigating the association between tooth brushing and the risk of esophageal carcinoma.

Discussion

In this meta-analysis, lower frequencies of brushing were closely associated with the risk of EC. The results demonstrated a one-fold increase in the risk of EC among the lowest category of brushing frequency compared with the highest group. We further obtained consistent results in subgroup analysis which showed the risk of ESCC in the lowest frequency of tooth brushing was 2.14-fold higher than in the highest. This suggests an increased frequency of brushing may be a protective factor for EC, especially ESCC. However, it is necessary to set the outcome variable as a specific type of EC to improve the accuracy and stability of the results.

Smoking and alcohol consumption are recognized risk factors for EC (32,33), so we further confirmed the impact of controlling or not controlling for these factors on the results of this study. We detected a significant heterogeneity in the groups not controlling for smoking or alcohol drinking, indicating that controlling for these confounding factors may be an effective way to control heterogeneity. However, further well-designed epidemiological studies are necessary to collect more comprehensive data on the demographics of patients.

It is well known that literature searches cannot be updated as new articles are published. Chen et al. [2015] conducted a meta-analysis consisting of six articles with significant heterogeneity among the included studies (15). However, due to developments in the field, new evidence has recently been published with various study origins and sample sizes (9,10), and our study further summarized and updated the relationship between the frequency of toothbrushing and risk of EC.

The physiological mechanisms between tooth brushing and EC risk are complex. The main function of brushing is to remove oral microorganisms and dental plaque and prevent periodontitis (34). An increased frequency of tooth brushing could reduce the amount of plaque and microorganisms and further prevent periodontitis or gingivitis (35). In addition, poor oral health produces acetaldehyde, which is known to be an EC carcinogen (36). At the same time, tooth brushing can directly clean the nitrosamine in tobacco, ethanol, and acetaldehyde in alcohol and other carcinogenic high-risk substances (32,33). Previous evidence revealed oral microorganisms play an important role in the occurrence and progression of esophageal cancer, and Tannerella forsythia and porphyromonas gingivalis are associated with EC by facilitating carcinogenesis via activation of toll-like receptors (37). In addition, dental plaque is an oral microbial community that exists on the surface of teeth and can cause periodontitis or systemic inflammation (34). Previous study showed that a lower frequency of tooth brushing is strongly associated with periodontitis (8). Importantly, periodontitis is a risk factor for EC, and periodontal disease increases the risk of EC by inducing a systemic immune response through inflammation (38). Finally, inflammation disrupts normal cell growth control, leading to cytopathic changes or increasing the production of carcinogenic nitrosamines (39).

One strength of this study is that to the best of our knowledge, it included the largest number of EC cases to date, including nearly three times that of a previous meta-analysis. In addition, in the subgroup analyses, we not only considered study location, publication year, and type of outcomes, but also analyzed second-order confounding factors such as smoking and alcohol consumption. Finally, heterogeneity detection and sensitivity analysis showed our results were robust and reliable.

There are also some limitations to this study. First, the included studies were case-control studies, and although such studies are of high quality, there are limitations in the interpretation of causality. Second, brushing frequency was self-reported, and the accuracy and reliability of this information cannot be assessed. Third, only articles published in English were retrieved, but sensitivity analysis and publication bias testing showed that the results of this study were robust.


Conclusions

This systematic review and meta-analysis assessed the association between the frequency of tooth brushing and risk of EC, and the overall results revealed lower frequencies of tooth brushing may be a significant risk factor. Future, prospective cohort studies with lager samples should be conducted to prove this causal link and to explore dose-response relationship between the two.


Acknowledgments

We thank all staff members involved in this study.

Funding: This study was funded by Key Science and Technology Projects in Henan Province (Nos. 202102310457 and 212102310669), Henan Province medical science and technology research plan joint construction project (No. LHG J20200034), and “23456 Talent Project” of Henan Provincial People’s Hospital.


Footnote

Reporting Checklist: The authors have completed the MOOSE reporting checklist. Available at https://jgo.amegroups.com/article/view/10.21037/jgo-22-214/rc

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jgo.amegroups.com/article/view/10.21037/jgo-22-214/coif). The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


References

  1. National Cancer Institute Surveillance, Epidemiology, and End Results Program Cancer stat facts: esophageal cancer. Available online: https://seer.cancer.gov/statfacts/html/esoph.html
  2. Sung H, Ferlay J, Siegel RL, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin 2021;71:209-49. [Crossref] [PubMed]
  3. Fatehi Hassanabad A, Chehade R, Breadner D, et al. Esophageal carcinoma: Towards targeted therapies. Cell Oncol (Dordr) 2020;43:195-209. [Crossref] [PubMed]
  4. Wang VE, Grandis JR, Ko AH. New Strategies in Esophageal Carcinoma: Translational Insights from Signaling Pathways and Immune Checkpoints. Clin Cancer Res 2016;22:4283-90. [Crossref] [PubMed]
  5. Ohashi S, Miyamoto S, Kikuchi O, et al. Recent Advances From Basic and Clinical Studies of Esophageal Squamous Cell Carcinoma. Gastroenterology 2015;149:1700-15. [Crossref] [PubMed]
  6. Lagergren J, Smyth E, Cunningham D, et al. Oesophageal cancer. Lancet 2017;390:2383-96. [Crossref] [PubMed]
  7. Velly AM, Franco EL, Schlecht N, et al. Relationship between dental factors and risk of upper aerodigestive tract cancer. Oral Oncol 1998;34:284-91. [Crossref] [PubMed]
  8. Tsukamoto M, Naito M, Wakai K, et al. Tooth brushing, tooth loss, and risk of upper aerodigestive tract cancer: a cohort study of Japanese dentisits. Nagoya J Med Sci 2021;83:331-41. [PubMed]
  9. Ekheden I, Yang X, Chen H, et al. Associations Between Gastric Atrophy and Its Interaction With Poor Oral Health and the Risk for Esophageal Squamous Cell Carcinoma in a High-Risk Region of China: A Population-Based Case-Control Study. Am J Epidemiol 2020;189:931-41. [Crossref] [PubMed]
  10. Mmbaga BT, Mwasamwaja A, Mushi G, et al. Missing and decayed teeth, oral hygiene and dental staining in relation to esophageal cancer risk: ESCCAPE case-control study in Kilimanjaro, Tanzania. Int J Cancer. 2020;148:2416-28. [Crossref] [PubMed]
  11. Wang YP, Han XY, Su W, et al. Esophageal cancer in Shanxi Province, People's Republic of China: a case-control study in high and moderate risk areas. Cancer Causes Control 1992;3:107-13. [Crossref] [PubMed]
  12. Guha N, Boffetta P, Wünsch Filho V, et al. Oral health and risk of squamous cell carcinoma of the head and neck and esophagus: results of two multicentric case-control studies. Am J Epidemiol 2007;166:1159-73. [Crossref] [PubMed]
  13. Aromataris E, Fernandez R, Godfrey CM, et al. Summarizing systematic reviews: methodological development, conduct and reporting of an umbrella review approach. Int J Evid Based Healthc 2015;13:132-40. [Crossref] [PubMed]
  14. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials 1986;7:177-88. [Crossref] [PubMed]
  15. Chen H, Nie S, Zhu Y, et al. Teeth loss, teeth brushing and esophageal carcinoma: a systematic review and meta-analysis. Sci Rep 2015;5:15203. [Crossref] [PubMed]
  16. Stroup DF, Berlin JA, Morton SC, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000;283:2008-12. [Crossref] [PubMed]
  17. Chuling F, Hui H, Zuojun X. The Newcastle‐Ottawa Scale (NOS) for assessing the quality of nonrandomized studies. 2016.
  18. Montazeri Z, Nyiraneza C, El-Katerji H, et al. Waterpipe smoking and cancer: systematic review and meta-analysis. Tob Control 2017;26:92-7. [Crossref] [PubMed]
  19. Higgins JP, Thompson SG, Deeks JJ, et al. Measuring inconsistency in meta-analyses. BMJ 2003;327:557-60. [Crossref] [PubMed]
  20. Egger M, Davey Smith G, Schneider M, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997;315:629-34. [Crossref] [PubMed]
  21. Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics 1994;50:1088-101. [Crossref] [PubMed]
  22. Duval S, Tweedie R. Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics 2000;56:455-63. [Crossref] [PubMed]
  23. Sato F, Oze I, Kawakita D, et al. Inverse association between toothbrushing and upper aerodigestive tract cancer risk in a Japanese population. Head Neck 2011;33:1628-37. [Crossref] [PubMed]
  24. Dar NA, Islami F, Bhat GA, et al. Poor oral hygiene and risk of esophageal squamous cell carcinoma in Kashmir. Br J Cancer 2013;109:1367-72. [Crossref] [PubMed]
  25. Menya D, Maina SK, Kibosia C, et al. Dental fluorosis and oral health in the African Esophageal Cancer Corridor: Findings from the Kenya ESCCAPE case-control study and a pan-African perspective. Int J Cancer 2019;145:99-109. [Crossref] [PubMed]
  26. Chen X, Yuan Z, Lu M, et al. Poor oral health is associated with an increased risk of esophageal squamous cell carcinoma - a population-based case-control study in China. Int J Cancer 2017;140:626-35. [Crossref] [PubMed]
  27. Chen T, Cheng H, Chen X, et al. Family history of esophageal cancer increases the risk of esophageal squamous cell carcinoma. Sci Rep 2015;5:16038. [Crossref] [PubMed]
  28. Chen X, Winckler B, Lu M, et al. Oral Microbiota and Risk for Esophageal Squamous Cell Carcinoma in a High-Risk Area of China. PLoS One 2015;10:e0143603. [Crossref] [PubMed]
  29. Abnet CC, Kamangar F, Islami F, et al. Tooth loss and lack of regular oral hygiene are associated with higher risk of esophageal squamous cell carcinoma. Cancer Epidemiol Biomarkers Prev 2008;17:3062-8. [Crossref] [PubMed]
  30. Ahrens W, Pohlabeln H, Foraita R, et al. Oral health, dental care and mouthwash associated with upper aerodigestive tract cancer risk in Europe: the ARCAGE study. Oral Oncol 2014;50:616-25. [Crossref] [PubMed]
  31. Nasrollahzadeh D, Malekzadeh R, Aghcheli K, et al. Gastric atrophy and oesophageal squamous cell carcinoma: possible interaction with dental health and oral hygiene habit. Br J Cancer 2012;107:888-94. [Crossref] [PubMed]
  32. Lundell LR. Etiology and risk factors for esophageal carcinoma. Dig Dis 2010;28:641-4. [Crossref] [PubMed]
  33. Vaughan TL, Davis S, Kristal A, et al. Obesity, alcohol, and tobacco as risk factors for cancers of the esophagus and gastric cardia: adenocarcinoma versus squamous cell carcinoma. Cancer Epidemiol Biomarkers Prev 1995;4:85-92. [PubMed]
  34. Zimmermann H, Zimmermann N, Hagenfeld D, et al. Is frequency of tooth brushing a risk factor for periodontitis? A systematic review and meta-analysis. Community Dent Oral Epidemiol 2015;43:116-27. [Crossref] [PubMed]
  35. McCracken GI, Steen N, Preshaw PM, et al. The crossover design to evaluate the efficacy of plaque removal in tooth-brushing studies. J Clin Periodontol 2005;32:1157-62. [Crossref] [PubMed]
  36. Yang CX, Matsuo K, Ito H, et al. Esophageal cancer risk by ALDH2 and ADH2 polymorphisms and alcohol consumption: exploration of gene-environment and gene-gene interactions. Asian Pac J Cancer Prev 2005;6:256-62. [PubMed]
  37. Peters BA, Wu J, Pei Z, et al. Oral Microbiome Composition Reflects Prospective Risk for Esophageal Cancers. Cancer Res 2017;77:6777-87. [Crossref] [PubMed]
  38. Hashim D, Sartori S, Brennan P, et al. The role of oral hygiene in head and neck cancer: results from International Head and Neck Cancer Epidemiology (INHANCE) consortium. Ann Oncol 2016;27:1619-25. [Crossref] [PubMed]
  39. Coussens LM, Werb Z. Inflammation and cancer. Nature 2002;420:860-7. [Crossref] [PubMed]
Cite this article as: Zhu L, Wang J, Zhang Q, Xia T, Hu S, Yao W, Wei L. Association between the frequency of tooth brushing and esophageal carcinoma risk: an update systematic review and meta-analysis. J Gastrointest Oncol 2022;13(2):499-509. doi: 10.21037/jgo-22-214

Download Citation