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Reading and Writing the Literature Randi Foraker Assistant Professor of Epidemiology College of Public Health [email protected]

2 Identify the study question › What is already known on the topic? 3

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Reading and Writing the Literature

Randi ForakerAssistant Professor of Epidemiology

College of Public [email protected]

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Study question

Identify the study question› What is already known on the topic?

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Study question

Identify the study question› What is already known on the topic?

› What remains to be known?

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Study question

Identify the study question› What is already known on the topic?

› What remains to be known?

› What are the expected results/hypotheses?

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Study question

Identify the study question› What is already known on the topic?

› What remains to be known?

› What are the expected results/hypotheses?

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Study population

Identify the study population› Who?› What?› When?› Where?

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Study Population

Identify the study population› Who?› What?› When?› Where?

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Study Design

Case-control Cohort Randomized Controlled Trial (RCT) Surveillance Cross-sectional Chart Review Case Study

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Exposure

“Cause → Effect”

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Exposure

“Cause → Effect”

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Outcome

“Cause → Effect”

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Outcome

“Cause → Effect”

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Covariates

Other Variables

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Results

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Results

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Results

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Results

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Clinical implications

Possible clinical implications of results

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Public health implications

Possible public health implications of results

21Writing the literature

Publication tips

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Paper outline

Literature/Critical Review Study Question Study Population Study Design Exposure, Outcome, Covariates Results Strengths, Limitations, Implications Future Directions

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Literature review

Write down the main idea (research question) of your project

Look for key components in each article; do they fit?› Stay within the boundaries of your research

question Keep your review in a notebook or

spreadsheet File the literature in a logical way

› Reference managers can assist with this Flag or highlight key content

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Literature review spreadsheet

Author, year Population Methods Key findings

Foraker, 2011 ARIC cohort, ages 45-64 at baseline, 1987-2005

Assessed 30-day readmission accounting for death as a competing risk

Predictors of 30-day readmission were nSES and comorbidity score

Binkley, 2009 Heart failure patients at OSUMC, ages 55+, 2007-2008

Assessed predictors of readmission

Elevated glucose predicted 90-day readmission

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Critical review

Validity of author’s approach Potential sources of bias External influences on study findings Communication of study message Implications for your research

› Background for grant proposal or manuscript

› Limitations of existing studies› Strengths of your study

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Critical review (2)

Study question› Is the central hypothesis clear?

Study design› Are there other approaches?

Study population› Selection of subjects: enrollment, retention

Definition of exposure, outcome, covariates

Results Strengths, limitations, implications

27Writing the literature

Other issues

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Authorship

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Collaborate

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Communicate

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Communicate

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Target a journal

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Respond to reviewers

Be prompt Address each point consecutively

› Restate reviewers’ concerns Cut and paste manuscript edits into the

letter, or point to text (page, paragraph, line number)

34Finding the literature

Literature review suggestions

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PubMed

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EndNote

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EndNote

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OSU resources