Evidence map›Paper›PMID 42681652›Full record

ArticleChiropractic & manual therapies2026

Practical guide to structuring the Discussion section in clinical and epidemiological studies.

Charlotte Leboeuf-Yde, Claire Gudex

Abstract read
In one paragraph

Article in Chiropractic & manual therapies, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Charlotte Leboeuf-YdeDepartment of Regional Health Research, University of Southern Denmark, Odense, Denmark.
Claire GudexResearch Unit OPEN, Department of Clinical Research, University of Southern Denmark, Odense, Denmark. cgudex@health.sdu.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This is the last of three articles that provide step-by-step guides on how to structure the content of a scientific article to ensure a coherent and relevant text. The current article aims to help authors produce relevant and stringent Discussion sections that reflect clarity of thought and critical analysis, with contents driven by the research objectives. We first describe the purpose of the six typical elements of the typical Discussion section: (i) Summary of Findings, (ii) Explanation of Findings, (iii) Comparison of own results with other studies, (iv) Critique of own work, (v) Perspectives, and (vi) Conclusion. We show different placements and combinations of these and explain what they should include. We then suggest how to write a simple Summary of Findings and how to avoid re-writing the Background section in the Explanation of Findings. We show how to use the previously identified research gaps when comparing own results with similar studies, suggest different approaches for Critique of own work, define the types of Perspectives that are common in clinical and epidemiological studies, and explain how to provide relevant and memorable information in the Conclusion. Examples of how authors have dealt with different elements of the Discussion section have been selected from this journal. Finally, we discuss the use of artificial intelligence in the writing process. We hope that the three articles will help authors to plan their writing in a meaningful manner, thus saving time for themselves and resulting in articles that are easy to read and understand.

Indexed as

Clinical Studies as TopicEpidemiologic StudiesWritingHumansPeriodicals as TopicDiscussion sectionStructure of a scientific articleWriting process

Identifiers

PMID42681652
PMCPMC13536823

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.