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Supplementary Fig. 1. Forest plot for sensitivity analysis.

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Supplementary Fig. 1. Forest plot for sensitivity analysis.

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PRISMA 2009 Checklist

Section/topic # Checklist item Reported

on page #

TITLE

Title 1 Identify the report as a systematic review, meta-analysis, or both.

2

ABSTRACT

Structured summary 2 Provide a structured summary including, as applicable: background; objectives; data sources; study eligibility criteria, participants, and interventions; study appraisal and synthesis methods; results; limitations; conclusions and

implications of key findings; systematic review registration number.

2,3

INTRODUCTION

Rationale 3 Describe the rationale for the review in the context of what is already known.

3-5

Objectives 4 Provide an explicit statement of questions being addressed with reference to participants, interventions, comparisons,

outcomes, and study design (PICOS).

6

METHODS

Protocol and registration 5 Indicate if a review protocol exists, if and where it can be accessed (e.g., Web address), and, if available, provide

registration information including registration number.

5

Eligibility criteria 6 Specify study characteristics (e.g., PICOS, length of follow-up) and report characteristics (e.g., years considered, language, publication status) used as criteria for eligibility, giving rationale.

6

Information sources 7 Describe all information sources (e.g., databases with dates of coverage, contact with study authors to identify

additional studies) in the search and date last searched.

5

Search 8 Present full electronic search strategy for at least one database, including any limits used, such that it could be

repeated.

5

Study selection 9 State the process for selecting studies (i.e., screening, eligibility, included in systematic review, and, if applicable,

included in the meta-analysis).

6,7

Data collection process 10 Describe method of data extraction from reports (e.g., piloted forms, independently, in duplicate) and any processes

for obtaining and confirming data from investigators.

6,7

Data items 11 List and define all variables for which data were sought (e.g., PICOS, funding sources) and any assumptions and

simplifications made.

6,7

Risk of bias in individual studies

12 Describe methods used for assessing risk of bias of individual studies (including specification of whether this was

done at the study or outcome level), and how this information is to be used in any data synthesis.

NA

Summary measures 13 State the principal summary measures (e.g., risk ratio, difference in means).

7,8

Synthesis of results 14 Describe the methods of handling data and combining results of studies, if done, including measures of consistency

(e.g., I2) for each meta-analysis.

8

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PRISMA 2009 Checklist

Section/topic # Checklist item Reported

on page #

Risk of bias across studies 15 Specify any assessment of risk of bias that may affect the cumulative evidence (e.g., publication bias, selective

reporting within studies).

NA

Additional analyses 16 Describe methods of additional analyses (e.g., sensitivity or subgroup analyses, meta-regression), if done, indicating

which were pre-specified.

8

RESULTS

Study selection 17 Give numbers of studies screened, assessed for eligibility, and included in the review, with reasons for exclusions at

each stage, ideally with a flow diagram.

8

Study characteristics 18 For each study, present characteristics for which data were extracted (e.g., study size, PICOS, follow-up period) and

provide the citations.

8,9

Risk of bias within studies 19 Present data on risk of bias of each study and, if available, any outcome level assessment (see item 12).

NA

Results of individual studies 20 For all outcomes considered (benefits or harms), present, for each study: (a) simple summary data for each

intervention group (b) effect estimates and confidence intervals, ideally with a forest plot.

10

Synthesis of results 21 Present results of each meta-analysis done, including confidence intervals and measures of consistency.

10

Risk of bias across studies 22 Present results of any assessment of risk of bias across studies (see Item 15).

NA

Additional analysis 23 Give results of additional analyses, if done (e.g., sensitivity or subgroup analyses, meta-regression [see Item 16]).

10,11

DISCUSSION

Summary of evidence 24 Summarize the main findings including the strength of evidence for each main outcome; consider their relevance to

key groups (e.g., healthcare providers, users, and policy makers).

11-12

Limitations 25 Discuss limitations at study and outcome level (e.g., risk of bias), and at review-level (e.g., incomplete retrieval of

identified research, reporting bias).

14

Conclusions 26 Provide a general interpretation of the results in the context of other evidence, and implications for future research.

15

FUNDING

Funding 27 Describe sources of funding for the systematic review and other support (e.g., supply of data); role of funders for the

systematic review.

16

From: Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med 6(6): e1000097.

doi:10.1371/journal.pmed1000097

For more information, visit: www.prisma-statement.org.

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Supplementary Table 2. The methodological quality of the cross-sectional studies.

Item Santavirta [16]

1992

Asaoka [17]

2014

Wang [20]

2019 1) Define the source of information (survey, record

review) Yes Yes Yes

2) List inclusion and exclusion criteria for exposed and unexposed subjects (cases and controls) or refer to previous publications

Yes Yes Yes

3) Indicate time period used for identifying patients Yes Yes Yes 4) Indicate whether or not subjects were consecutive if

not population-based NO NO Yes

5) Indicate if evaluators of subjective components of study were masked to other aspects of the status of the participants

NO Yes Yes

6) Describe any assessments undertaken for quality assurance purposes (e.g., test/retest of primary outcome measurements)

Yes Yes Yes

7) Explain any patient exclusions from analysis NO NO Yes

8) Describe how confounding was assessed and/or

controlled. NO Yes Yes

9) If applicable, explain how missing data were

handled in the analysis NO NO NO

10) Summarize patient response rates and

completeness of data collection Yes Yes Yes

11) Clarify what follow-up, if any, was expected and the percentage of patients for which incomplete data or follow-up was obtained

NO NO NO

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Supplementary Table 3. Newcastle-Ottawa Scale assessment of the quality of the case-control and cohort studies.

NOTE: 1. indicates that the exposed cohort was representative of the population; 2. Indicates that the non-exposed cohort was drawn from the same population; 3. Indicates that the exposure ascertainment was from secure records or a structured interview; 4. Indicates that outcome of interest was not present at start of study; 5. Indicates that the cohorts were comparable for age and sex; 6. Indicates that the cohorts were comparable on all additional factor(s) reported; 7. Indicates that outcome was assessed from a secure record; 8.

Indicates that follow-up was long enough for outcomes to occur; 9. Indicates that follow-up was complete.

Study Selection Comparability Exposure/Outcome Total scores

1 2 3 4 5 6 7 8 9

Wu et al [18] 2016 Yes Yes Yes No Yes No Yes Yes No 6

Choi et al [19] 2019 Yes Yes Yes No Yes No No Yes No 5

Yoon et al [21] 2019 Yes Yes Yes Yes Yes No Yes Yes No 7

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