Evidence map›Paper›PMID 36567994›Full record

ArticleJournal of education and health promotion2022

Effectiveness of 3D-printed models prepared from radiological data for anatomy education: A meta-analysis and trial sequential analysis of 22 randomized, controlled, crossover trials.

Adil Asghar, Shagufta Naaz, Apurba Patra, Kumar S Ravi, Laxman Khanal

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. The Application of 3D Anatomy for Teaching Veterinary Clinical Neurology.Animals : an open access journal from MDPI · 2023
    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.

Adil AsgharDepartment of Anatomy, All India Institute of Medical Sciences, Patna, Bihar, India.
Shagufta NaazDepartment of Anaesthesiology, All India Institute of Medical Sciences, Patna, Bihar, India.
Apurba PatraDepartment of Anatomy, All India Institute of Medical Sciences, Bathinda, Punjab, India.
Kumar S RaviDepartment of Anatomy, All India Institute of Medical Sciences Rishikesh, Uttarakhand, India.
Laxman KhanalDepartment of Anatomy, BP Koirala Institute of Health Sciences, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany academicians suggested the supplementary use of 3D-printed models reconstructed from radiological images for optimal anatomy education. 3D-printed model is newer technology available to us. The purpose of this systematic review was to capture the usefulness or effectiveness of this newer technology in anatomy education. MATERIALS AND

methodsTwenty-two studies met the inclusion and exclusion criteria for quantitative synthesis. The included studies were sub-grouped according to the interventions and participants. No restrictions were applied based on geographical location, language and publication years. Randomized, controlled trial, cross-sectional and cross-over designs were included. The effect size of each intervention in both participants was computed as a standardized mean difference (SMD).

resultsTwenty-two randomized, controlled trials were included for quantitative estimation of effect size of knowledge acquisition as standardized mean difference in 1435 participants. The pooled effect size for 3D-printed model was 0.77 (0.45-1.09, 95% CI,

conclusionThe participants exposed to the 3D-printed model performed better than participants who used traditional methodologies. Thus, the 3D-printed model is a potential tool for anatomy education.

Indexed as

Cognitiongoalsimmersionmotivationprintingreaction timespatial navigationthree-dimensionaltomographyX-Ray computed

Identifiers

PMID36567994
PMCPMC9768753

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.