Results sections are where most manuscripts start to fail. Not because the data are weak—because the data are presented without an argument. Understanding writing results section is what separates papers that get accepted from those that don’t.
A collection of tables and p-values is not a Results section. It is raw output. The job of the Results section is to transform that output into a sequence of findings that build a case. Each finding should follow from the previous one, and the sequence should arrive somewhere—at the main answer the study was designed to produce.
Most researchers know this in principle. In practice, Results sections are written in the order the analysis was run, not in the order the argument requires. The primary outcome appears after the baseline demographics table, which appears after the study population flowchart, regardless of whether that sequence serves the reader.
Why most discussions fail often traces back to a Results section that never constructed an argument. The Discussion cannot interpret findings that were never framed as findings in the first place.
The Difference Between Data and Findings
Data are measurements: complication rates, operative times, length of stay, p-values. Findings are claims: “patients in the laparoscopic group had significantly lower anastomotic leak rates (4.2% vs. 11.8%, p=0.03), a difference that remained after adjustment for age and preoperative nutritional status.”
The difference is interpretation. A finding names what the data means, not just what was measured.
A Results section composed of findings—not just data—gives reviewers and readers something to respond to. They can agree or disagree with the interpretation. They can assess whether the claim is proportionate to the evidence. They can contextualize it against their own experience.
A Results section composed of data dumps gives reviewers nothing to engage with except tables. The interpretation happens in their heads, without the author’s guidance, and often not in the author’s favor.
Grouping by Clinical Theme
The sequence of findings in a Results section should follow clinical logic, not analytical logic.
Analytical logic produces a sequence tied to study design: baseline characteristics first, then primary outcome, then secondary outcomes, then subgroup analyses, then sensitivity analyses. This sequence is familiar and defensible. It is not always the clearest way to tell the story.
Clinical logic produces a sequence tied to what a clinician needs to understand. In a study comparing two surgical approaches: first establish that the groups are comparable at baseline (so the reader trusts the comparison). Then report the primary outcome with enough context to understand its magnitude. Then report the secondary outcomes that help interpret the primary finding. Then report findings that qualify or limit the primary conclusion.
The difference is subtle but consequential. In the first sequence, every table has equal weight. In the second, the reader is being guided through an argument—with the primary finding as the main point and everything else in service of understanding it.
Writing Topic Sentences Before Paragraphs
Every paragraph in the Results section should begin with a sentence that states the finding, not introduces the data.
Not: “Table 2 shows the outcomes by surgical approach.”
But: “Laparoscopic repair was associated with lower complication rates across all severity grades, with the largest difference observed in anastomotic complications.”
The topic sentence is the finding. The paragraph provides the data that supports it. This reversal—finding first, data second—makes the Results readable without the tables and unambiguous even with them.
In practice, writing topic sentences before filling in the data forces clarity about what each section of the Results is actually trying to establish. If you cannot write a topic sentence for a paragraph, either the paragraph has no clear finding, or you have not yet decided what the data means. Either way, the problem surfaces before the paragraph is written, not after.
The Primary Outcome as Anchor
The primary outcome is the structural anchor for the entire Results section. Everything before it establishes the credibility of the comparison. Everything after it provides context, qualification, or extension.
This means the primary outcome should be presented at the moment the reader has enough information to evaluate it—after baseline characteristics have established group comparability, before secondary outcomes that build on it.
A common error is burying the primary outcome in the middle of a long Results section, surrounded by secondary analyses of similar length and visual weight. This forces the reader to search for the main point and creates the impression that the authors are not sure what the main point is.
The primary outcome should be the clearest, most prominently presented finding in the Results. Everything else should be legibly secondary to it.
Handling Null Results
A null result—a primary outcome that shows no statistically significant difference—requires the same structural approach as a positive result, with additional attention to the interpretation.
Presenting a null result requires stating it directly: “There was no significant difference in 30-day complication rates between groups (12.4% vs. 11.9%, p=0.81, 95% CI for difference: -4.1% to 5.2%).” The confidence interval matters here as much as the p-value—it tells the reader what magnitude of difference has been excluded, which is the actual finding.
A null result is informative when the confidence interval is narrow enough to exclude clinically meaningful differences. It is uninformative when the confidence interval is so wide that a large effect could not have been detected. The Results section should make this distinction clear.
Secondary Outcomes and Subgroup Analyses
Secondary outcomes should be presented as supporting evidence for the primary finding, not as independent stories.
If the primary outcome is a composite endpoint, secondary outcomes that decompose the composite are essential—they show which components drove the result. If the primary outcome is a long-term measure, secondary outcomes that capture the trajectory are useful—they show how the result developed over time.
Subgroup analyses are the most commonly misused element of Results sections. Prespecified subgroup analyses—defined in the protocol before data analysis—are legitimate. Post-hoc subgroup analyses identified after seeing the data are hypothesis-generating at best and misleading at worst.
Mixing prespecified and post-hoc analyses in the Results without labeling them differently is a transparency failure that reviewers increasingly recognize and flag.
The Argument the Results Should Make
By the end of the Results section, a reader who has not read the Discussion should be able to answer: what did this study find, how confident should I be in that finding, and what are the most important qualifications on it?
If those questions can be answered from the Results alone—without the Discussion—the Results section has done its job. The Discussion then does a different job: it interprets the finding in the context of what was already known, explains what it means clinically, and places appropriate limits on what can be claimed.
The two sections are different moves in the same argument. Results establishes what was found and how reliably. Discussion establishes what it means and why it matters.
For a related perspective, see A Practical Framework for Revising a Rejected Paper.
Results-to-Argument Mapper
Use this template before writing the Results section. Complete it from your analysis output.
Step 1 — Identify your main answer (5 min):
Complete this sentence: “This study found that _ [finding], which suggests _ [implication].”
This becomes your primary outcome topic sentence.
Step 2 — Map your findings to the argument structure:
| Finding | Role in argument | Paragraph position |
|---|---|---|
| Baseline characteristics | Establishes comparability | First |
| Primary outcome | Main answer | Second (after baseline) |
| Secondary outcome 1 | Supports / qualifies primary | Third |
| Secondary outcome 2 | Supports / qualifies primary | Fourth |
| Subgroup analysis (if prespecified) | Extends or limits primary | Fifth |
| Sensitivity analysis | Tests robustness | Last |
Step 3 — Write topic sentences before paragraphs:
For each row above, write the finding as a one-sentence claim before filling in the data.
- [ ] Topic sentence states the finding, not the table reference
- [ ] Data in the paragraph supports the topic sentence
- [ ] Primary outcome is the most prominent finding visually and structurally
- [ ] Confidence intervals are reported alongside p-values for all primary and secondary outcomes
- [ ] Subgroup analyses labeled as prespecified or post-hoc
Step 4 — Test the argument:
Read only the topic sentences, in order. Do they tell a coherent story that arrives at the main finding?
– [ ] Yes — proceed to fill in data
– [ ] No — reorder paragraphs until topic sentences tell the story first
The Results section works when the topic sentences alone answer the research question.
