Evidence map›Paper›PMID 37872939›Full record

ReviewCureus2023

Graphical Abstract in Scientific Research.

Madhan Jeyaraman, Harish V K Ratna, Naveen Jeyaraman, Nicola Maffulli, Filippo Migliorini, Arulkumar Nallakumarasamy, Sankalp Yadav

Abstract readReview
In one paragraph

Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Madhan JeyaramanOrthopedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai, IND.
Harish V K RatnaOrthopedics, Rathimed Speciality Hospital, Chennai, IND.
Naveen JeyaramanOrthopedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai, IND.
Nicola MaffulliMedicine, Surgery and Dentistry, University of Salerno, Baronissi, ITA.
Filippo MiglioriniCentre for Sports and Exercise Medicine, Barts and the London School of Medicine and Dentistry, Mile End Hospital, Queen Mary University of London, London, GBR.
Arulkumar NallakumarasamyOrthopedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai, IND.
Sankalp YadavMedicine, Shri Madan Lal Khurana Chest Clinic, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A graphical abstract (GA) summarizes the key and important findings of an article graphically, potentially stimulating researchers to view the published manuscript. A GA should enhance dissemination, augment engagement, and impact clinical practice. Infographics play a key role in a quicker understanding of the significant findings of a manuscript. Few level 1 studies reported that GAs enhanced the engagement of readers on social media when compared to plain text abstracts. With the evolution of Industry 4.0, 5.0, and 6.0, GA plays a major role in understanding the technical aspects of various technologies. This article outlines tips to prepare an effective GA and reports the impact of GAs on research and clinical translation.

Indexed as

graphical abstractgraphicsresearchsocial mediavisual abstract

Identifiers

PMID37872939
PMCPMC10590498

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.