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| Title: |
1. Manuscript content clarified within 135
character limit. |
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| Abstract: |
2. Structured per Instructions For Authors. |
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3. Design identified as Cross-sectional Study. |
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| Introduction: |
4. Statement/clarification of the research
question/objectives. |
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5. Population under study (controls and
subjects) defined and issue(s) of interest clarified. |
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6. Background and significance as to why study
was conducted. |
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7. Brief review of pertinent literature. |
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| Methods: |
8. Define the source of information (survey,
record review). |
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9. List inclusion and exclusion criteria for
exposed and unexposed subjects (cases and controls) or refer to
previous publications (applies to items #9-16). |
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10. Indicate time period used for identifying
patients. |
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11. Clarify sample size determination (e.g.,
statistically or participants accrued over a specified time
period); if statistically predetermined, elaborate in
statistical methods section. |
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12. Indicate whether or not subjects were
consecutive if not population-based. |
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13. Indicate if evaluators of subjective
components of study were masked to other aspects of the status
of the participants. |
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14. IRB approval and informed consent
obtained. |
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15. Describe relevant primary and secondary
measurements and the time point(s) used for data recording when
relevant. |
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16. Indicate how assessments/measurements were
made and describe evaluators. |
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17. Describe any assessments undertaken for
quality assurance purposes (e.g., test/retest of primary outcome
measurements). |
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18. Describe efforts to ensure completeness of
planned sampling. |
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(Statistical Issues/Data Management)
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19. Clarify any assumptions used in
calculating sample size. |
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20. Indicate how data were extracted for
analysis (e.g., chart review, or prospectively completed data
forms). |
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21. Explain any patient exclusions from
analysis. |
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22. Explain analytic method for all outcome
analyses and identify specific software programs employed. |
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23. If applicable, note that statistical
analyses take complex sampling designs into account. |
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24. Describe how confounding was assessed
and/or controlled. |
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25. If applicable, explain how missing data
were handled in the analysis. |
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| Results: |
26. Describe demographic characteristics and
all variables of prognostic importance. |
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27. Summarize patient response rates and
completeness of data collection. Clarify what follow-up, if any,
was expected and the percentage of patients for which incomplete
data or follow-up was obtained. |
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28. Compare completeness of data within each
subgroup for each candidate risk factor of interest. |
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29. Describe extent to which sampled study
population is representative of target population. |
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30. Report results of other statistical
comparisons made of the subgroups of candidate risk factors. |
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31. Provide both absolute numbers and
percentages when feasible (e.g., 33 of 50, 66%). |
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32. Provide confidence intervals for
prevalence estimates and P values for all major
comparisons between subgroups. |
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33. Report assessment of confounding among the
known and candidate risk factors. |
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Discussion:
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34. Briefly summarize important study
findings. |
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35. Interpret the study findings. |
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36. Discuss possible bias. |
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37. When applicable, discuss the biological
plausibility of findings. |
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38. Contrast or compare study results to other
studies. |
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39. Comment on generalizability of results and
identify non-applicable patients. |
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40. Summarize study design limitations and
weaknesses. |
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41. When indicated, summarize the
applicability of results to clinical practice. |
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42. Comment on future desirable studies when
indicated. |
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Form completed by: ________________________________________
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