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Anabolic Steroids: What They Are, Uses, Side Effects & Risks

Below is a ready‑to‑use outline for a peer‑reviewable medical article (e.g., a research paper, systematic review, or guideline).

Feel free to replace the placeholders with your own data, results, and citations.




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1. Title



Concise, descriptive, and includes the study design when appropriate


Example: "Randomized Controlled Trial of Drug X vs. Placebo in Adults With Condition Y"


2. Running Head / Short Title (optional)



≤50 characters; appears on each page







3. Author List & Affiliations

|
| Name | Affiliation(s) | Email |

|---|------|-----------------|-------|
| 1 | First Author | Department, Institution | email@example.com |
| … | … | … | … |





Corresponding author designated; include contact details







4. Abstract (Structured)



Section Word Limit


Background / Objective ≤50 words


Methods ≤100 words


Results ≤150 words


Conclusions ≤50 words






Use concise, precise language


Avoid abbreviations unless standard







5. Keywords

3–6 terms reflecting study focus (e.g., "epidemiology", "case‑control", "disease X", "risk factor Y").



---




6. Introduction / Background




Context – Brief epidemiological landscape of the disease/condition.


Gap – Why current knowledge is insufficient or conflicting.


Objective – Specific research question(s) or hypothesis.



Keep introduction succinct; aim for ~400–600 words.





7. Methods (Detailed)



Section Content


Study Design e.g., "a matched case‑control study" with justification.


Setting & Period Geographic location, timeframe of data collection.


Population Inclusion/exclusion criteria for cases and controls.


Sampling How participants were selected (consecutive admissions, random sampling).


Sample Size Calculation Formula used, assumptions (odds ratio to detect, power, significance level).


Data Collection Instruments Structured questionnaire, chart abstraction form; description of variables (exposures, outcomes, confounders).


Variable Definitions Primary outcome (e.g., "death within 30 days"), primary exposures (e.g., comorbidities), covariates.


Measurement Procedures Training of data collectors, inter-rater reliability checks.


Ethical Considerations IRB approval, informed consent procedures, confidentiality measures.


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2. Data Analysis



2.1 Preliminary Steps




Data Cleaning: Check for missing values, outliers; apply appropriate imputation or sensitivity analyses.


Descriptive Statistics: Summarize patient demographics and baseline characteristics.




2.2 Statistical Methods



Goal Test/Model Rationale


Compare categorical variables (e.g., gender distribution across groups) Chi‑square test / Fisher’s exact test Assess association between group membership and categorical outcomes.


Compare continuous variables (e.g., age, lab values) Independent t‑test or Mann–Whitney U (if non‑normal) Evaluate differences in means/medians between two groups.


Adjust for confounders when assessing the effect of a predictor on outcome Multivariable logistic regression (binary outcomes) / Cox proportional hazards model (time‑to‑event) Estimate adjusted odds ratios or hazard ratios, controlling for covariates such as age, sex, comorbidities.


Validate model assumptions Residual analysis, Hosmer–Lemeshow goodness‑of‑fit test, proportional hazards check Ensure reliability of inference.


Interpretation





Odds Ratio (OR) >1 indicates increased odds; 1 indicates higher hazard (risk) over time;

Bonnie Wilcox, 19 years

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