Evidence map›Paper›PMID 40548226›Full record

ArticleWorld journal of methodology2025

Visualizing medicine: The case for implementing graphical abstracts in clinical reporting.

Naveen Jeyaraman, Madhan Jeyaraman, Swaminathan Ramasubramanian, Sangeetha Balaji, Arulkumar Nallakumarasamy

Abstract readEditorial
In one paragraph

Article in World journal of methodology, 2025. 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. Maintaining quality of scientific peer-review and publishing inPhysics and imaging in radiation oncology · 2026
    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

5 authors.

Naveen JeyaramanDepartment of Orthopaedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai 600077, Tamil Nadu, India. naveenjeyaraman@yahoo.com.
Madhan JeyaramanDepartment of Orthopaedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai 600077, Tamil Nadu, India.
Swaminathan RamasubramanianDepartment of Orthopaedics, Government Medical College, Omandurar Government Estate, Chennai 600002, Tamil Nadu, India.
Sangeetha BalajiDepartment of Orthopaedics, Government Medical College, Omandurar Government Estate, Chennai 600002, Tamil Nadu, India.
Arulkumar NallakumarasamyDepartment of Orthopaedics, Jawaharlal Institute of Postgraduate Medical Education and Research-Karaikal, Puducherry 609602, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphical abstracts (GAs) are emerging as a pivotal tool in medical literature, enhancing the dissemination and comprehension of complex clinical data through visual summaries. This editorial highlights the significant advantages of GAs, including improved clarity, increased reader engagement, and enhanced visibility of research findings. By transforming intricate scientific data into accessible visual formats, these abstracts facilitate quick and effective knowledge transfer, crucial in clinical decision-making and patient care. However, challenges such as potential data misrepresentation due to oversimplification, the skill gap in graphic design among researchers, and the lack of standardized creation guidelines pose barriers to their widespread adoption. Additionally, while software such as Adobe Illustrator, BioRender, and Canva are commonly employed to create these visuals, not all researchers may be proficient in their use. To address these issues, we recommend that academic journals establish clear guidelines and provide necessary design training to researchers. This proactive approach will ensure the creation of high-quality GAs, promote their standardization, and expand their use in clinical reporting, ultimately benefiting the medical community and improving healthcare outcomes.

Indexed as

Academic publishingClinical data disseminationGraphical abstractsResearch impactVisual communication

Identifiers

PMID40548226
PMCPMC11612732

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.