• Tidak ada hasil yang ditemukan

Appendix 1 - PRISMA Checklist - http;//links.lww.com

N/A
N/A
Protected

Academic year: 2023

Membagikan "Appendix 1 - PRISMA Checklist - http;//links.lww.com"

Copied!
5
0
0

Teks penuh

(1)

Appendix 1 - PRISMA Checklist

Section/topic # Checklist item Reported

on page # TITLE

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

ABSTRACT

Structured summary 2 Provide a structured summary. 2

INTRODUCTION

Rationale 3 Describe the rationale for the review in the context of what is already known. 3 Objectives 4 Provide an explicit statement of questions being addressed with reference to participants,

interventions, comparisons, outcomes, and study design (PICOS).

3 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.

4 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.

4 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.

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

could be repeated.

4 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).

4, 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.

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

assumptions and simplifications made.

5

(2)

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.

5, App. 1

Summary measures 13 State the principal summary measures (e.g., risk ratio, difference in means). 5-6 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.

6 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).

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

done, indicating which were pre-specified.

6 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.

7, Fig. 1 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.

Table 1 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).

App. 1 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.

7. Tab. 2, Fig. 2 Synthesis of results 21 Present results of each meta-analysis done, including confidence intervals and measures of

consistency.

7, Tab. 2 Risk of bias across studies 22 Present results of any assessment of risk of bias across studies (see Item 15). 7

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

7-8 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).

9 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).

9-10

(3)

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

10 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.

11

(4)

Appendix 2. Quality assessment

Checklist

1. Approach used to identify the study population and the potential for selection bias:

a. Case-control studies:

i. Representativeness of the cases:

1. Representative cases of study base (1)

2. Potential for selection biases or not stated (0) ii. Selection of controls:

1. Community controls (1) 2. Hospital controls (0.5) 3. No description (0)

iii. Have historical controls or proxies been used?

1. No (1) 2. Yes (0) b. Cohort studies:

i. Selection of exposed cohort:

1. Cohort comprises all eligible subjects (1)

2. Cohort comprises only a selected group from all eligible subjects (0.5) 3. No description of the derivation of the cohort (0)

ii. Selection of the non-exposed cohort:

1. Drawn from the same study base (1)

2. Drawn from a different source or no description (0)

2. Approach used for exposure assessment and the potential for information bias, whether differential (non-random) or non-differential (random):

a. Ascertainment of diesel-exposure:

i. Environmental sampling (1)

ii. Structured interview/job title collected from employment records (0.6) iii. Self-reported (0.3)

iv. No description (0)

b. Information about diesel-exposure collection:

i. Multiple diesel-exposure data (≥ 10 years before outcome) (1) ii. One or few time points (0)

c. Ascertainment of smoking-exposure:

(5)

i. Self-reported (1)

ii. From other sources (e.g. medical records) (0.5) iii. No description (0)

d. Information about smoking habits collection:

i. Full smoking history (1) ii. One or few time points (0)

3. Approach used for outcome identification and any potential bias:

a. Is the outcome selection adequate?

i. Yes, with independent validation (1)

ii. Yes, e.g. record linkage or based on self-reports (0.5) iii. No description (0)

b. In case of cancer, the outcome is:

i. Incidence (1) ii. Mortality (0)

4. Potential for confounding to have influenced the findings:

a. Results adjusted for other carcinogens (e.g. asbestos) (1)

b. Results adjusted for basic confounders (e.g. age, sex, SES) (0.5) c. No adjustment (0)

Quality score by study Study Score (%)

[10] 53

[11] 48

[12] 66

[13] 57

[14] 51

[15] 76

[16] 70

Referensi

Dokumen terkait

11 Specify the methods used to assess risk of bias in the included studies, including details of the tool(s) used, how many reviewers assessed each study and whether they

Supplementary Table 2: Quality Assessment and risk of bias in individual studies evaluated using Newcastle Ottawa Scale and Joanna Briggs Institute Critical appraisal

Settings: clinic Bibliography: Gupta 2013 2 Quality assessment No of patients Effect Quality Importance No of studies Design Risk of bias Inconsistency Indirectness

Settings: clinic Bibliography: Gonzalez 1993 1, O'Laughlin 1995 1 Quality assessment No of patients Effect Quality Importance No of studies Design Risk of bias

Supplemental Digital Appendix 2 Key Findings from 31 Studies on the Evaluation of Faculty Development Programs for Clinician–Educators Identified in a Scoping Review of the Literature

Risk of Bias Study Representativeness Patient misclassification Outcome misclassification Inconsistent data Precision Quality score Rego Yes Yes Yes Yes No 4

Quality assessment № of patients Effect Quality Importance № of studies Study design Risk of bias Inconsistency Indirectness Imprecision Other considerations NE

random number table; computer random number generator, high risk of bias non‐ random process, for example, odd or even date of birth; hospital or clinic record number or unclear risk