How to Write a Strong Research Results Section

Why the Results Section Matters

The Results section is where the study findings are presented in a clear, structured, and objective way. It should show the reader what was found without interpreting the meaning of the findings too early.

A strong Results section does not simply copy numbers from tables. It guides the reader through the data in a logical order, highlights the most important findings, and makes the relationship between the text, tables, and figures easy to follow.

The main purpose of the Results section is to answer one question:

What did the study find?

It should not yet explain why the findings occurred or what they mean in a broader scientific context. That belongs mainly in the Discussion section.

Key components of a strong results section

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A strong results section guides readers through what was found—objective, numerical, and transparent.

Start with the Study Sample

The Results section should usually begin by describing the study sample. Readers need to know how many participants, records, specimens, or studies were included in the final analysis.

This part may include:

• Number of participants screened
• Number excluded
• Reasons for exclusion
• Number included in the final analysis
• Number lost to follow-up
• Final number analyzed for each outcome

Example:

“Among 248 patients screened for eligibility, 196 met the inclusion criteria and were included in the final analysis. Twenty-one patients were excluded because of incomplete follow-up data, and 31 were excluded because baseline imaging was unavailable.”

This gives the reader a transparent overview of how the final study population was formed.

Present Baseline Characteristics Clearly

After describing the study sample, the Results section should summarize baseline characteristics. These data help readers understand the population before the main outcomes are presented.

Baseline characteristics may include:

Baseline characteristics should be reported objectively. Avoid interpreting group differences too early. Instead, describe the actual variables and numbers.

Report the Primary Outcome First

The primary outcome should usually be presented before secondary outcomes. This helps the reader focus on the main research question.

A strong primary outcome sentence includes:

• The outcome measured
• The comparison or group difference
• The effect size
• Confidence interval when appropriate
• P value when relevant

Example:

“The primary outcome occurred in 42 of 120 patients in the treatment group and 58 of 118 patients in the control group (35.0% vs 49.2%; odds ratio, 0.56; 95% CI, 0.33–0.94; P = 0.028).”

This is stronger than writing:

“The treatment group had significantly better outcomes.”

Use Exact Numbers Instead of Vague Statements

Results should be numerical whenever possible. Vague phrases make the section less transparent.

Precise numbers help reviewers assess whether the findings are clinically and statistically meaningful.

Present Secondary Outcomes in a Logical Order

Secondary outcomes should follow the primary outcome. They should be organized in a way that matches the Methods section.

Example:

“Secondary outcomes included complication rate, radiological recurrence, and reoperation. Complications occurred in 8.2% of patients, radiological recurrence was observed in 11.6%, and reoperation was required in 5.4%.”

Avoid jumping randomly between outcomes, subgroups, and exploratory findings.

Refer to Tables and Figures Without Repeating Everything

Tables and figures should support the Results section, not replace it. The text should highlight the most important findings, while tables and figures provide detailed data.

Example:

“Baseline characteristics were generally similar between groups, although patients in the intervention group had a slightly longer median follow-up duration (Table 1).”

This tells the reader what to notice without duplicating the entire table.

Report Negative and Non-Significant Findings Honestly

A strong Results section should not report only favorable or statistically significant findings. Negative, neutral, and unexpected findings are also part of the scientific result.

Example:

“No significant difference was observed in complication rate between the two groups (7.8% vs 9.1%; P = 0.64).”

This is better than omitting the finding. Selective reporting can make the manuscript appear biased.

Keep Interpretation Out of the Results Section

The Results section should remain objective. Interpretation belongs mainly in the Discussion.

Avoid writing:

“This finding proves that the treatment is superior.”

A better Results-style sentence would be:

“The treatment group had a higher rate of functional improvement than the control group.”

Include Subgroup and Sensitivity Analyses Clearly

If subgroup or sensitivity analyses were performed, they should be reported after the main results. The reader should understand whether these analyses were predefined or exploratory.

Subgroup analyses may involve age groups, sex, disease severity, treatment type, lesion size, follow-up duration, or center.

Example:

“In the predefined subgroup analysis, the association between treatment and outcome was more pronounced among patients with severe baseline disease. However, the interaction test was not statistically significant.”

Example (sensitivity analysis):

“The results remained similar after excluding patients with less than 12 months of follow-up.”

Avoid Overloading the Results Section

A Results section should be complete, but not crowded.

Use the text for:

• Main study sample
• Baseline summary
• Primary outcome
• Key secondary outcomes
• Important subgroup or sensitivity findings
• Essential table and figure references

Use tables and figures for:

• Detailed baseline data
• Full statistical outputs
• Secondary variables
• Subgroup details
• Supplementary analyses

Common Problems in Results Sections

A strong Results section should be objective, numerical, and easy to navigate.

Practical Structure for a Strong Results Section

1. Study sample — Report the number screened, excluded, included, followed, and analyzed.
2. Baseline characteristics — Describe the study population and key group differences.
3. Primary outcome — Present the main finding first, with exact numbers and uncertainty.
4. Secondary outcomes — Report additional outcomes in the same order as the Methods section.
5. Subgroup analyses — Present predefined subgroup findings when relevant.
6. Sensitivity analyses — Show whether the main findings remained stable.
7. Tables and figures — Refer to supporting data without repeating every number.

Weak vs strong results sections

Core message

A strong Results section should be:

Objective, numerical, transparent, and easy to follow.

Results Section Checklist Before Submission

• Is the final study sample clearly described?
• Are exclusions and missing follow-up explained?
• Are baseline characteristics presented before outcomes?
• Is the primary outcome reported first?
• Are exact numbers, percentages, effect sizes, confidence intervals, and P values included when appropriate?
• Are secondary outcomes reported in a logical order?
• Are subgroup analyses clearly identified?
• Are sensitivity analyses reported when performed?
• Are tables and figures referenced properly?
• Are non-significant findings reported honestly?
• Is interpretation avoided?
• Does the Results section match the Methods section?

A Simple Formula

A strong Results section can often be built with this formula:

Of the patients/records/samples screened, X were included…
Baseline characteristics were…
The primary outcome occurred in…
Secondary outcomes showed…
Subgroup analyses demonstrated…
Sensitivity analyses were consistent/inconsistent with…
Detailed data are shown in Table/Figure…

This formula helps keep the Results section objective, structured, and reviewer-friendly.

In short

A strong Results section does not just present data — it guides the reader clearly through what was found.

For discussion writing, see our introduction and discussion guide—or run a pre-submission review that checks results reporting and consistency.