Evidence map›Paper›PMID 39450022›Full record

ReviewMedical science educator2024

Technologies for Studying and Teaching Human Anatomy: Implications in Academic Education.

Gustavo Cunha Graziani, Mayara Bocchi, Luiz Fernando Gouvêa-E-Silva, Célia Cristina Fornaziero, Eduardo Vignoto Fernandes

Abstract readReview
In one paragraph

Review in Medical science educator, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
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.

Gustavo Cunha GrazianiUniversidade Federal de Jataí, BR 364, Km 195, n. 3800, Cidade Universitária, 75801-615 Jataí, Goiás Brazil.ORCID 0009-0005-7805-1275
Mayara BocchiUniversidade Federal de Jataí, BR 364, Km 195, n. 3800, Cidade Universitária, 75801-615 Jataí, Goiás Brazil.ORCID 0000-0001-6609-7683
Luiz Fernando Gouvêa-E-SilvaUniversidade Federal de Jataí, BR 364, Km 195, n. 3800, Cidade Universitária, 75801-615 Jataí, Goiás Brazil.ORCID 0000-0002-1953-9175
Célia Cristina FornazieroUniversidade Estadual de Londrina, Rodovia Celso Garcia Cid, PR 445, Km 380, Campus Universitário, 86057-970 Londrina, Paraná Brazil.ORCID 0000-0002-4208-1844
Eduardo Vignoto FernandesUniversidade Federal de Jataí, BR 364, Km 195, n. 3800, Cidade Universitária, 75801-615 Jataí, Goiás Brazil.ORCID 0000-0003-0876-2491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The teaching of human anatomy (HA) constitutes one of the fundamental pillars of the curriculum in biological and healthcare-related programs. Therefore, it is imperative that the methodology and didactics employed in this discipline equip students in the best possible way. The traditional method of teaching HA involves lectures and practical classes with previously dissected cadaveric specimens and dissection activities. Concurrently, the present era is witnessing the emergence and popularization of new digital technologies connected to the internet, among which we can highlight smartphones, quick response codes, and virtual reality devices, along with the dissemination of complementary imaging methods, such as radiography, ultrasonography, magnetic resonance imaging, and computerized tomography. From this perspective, the objective of this review is to analyze how each of these new tools integrates into the academic context, in order to diversify the teaching of HA and contribute to better understanding of the HA content during academic training, as well as the clinical applications.

Indexed as

Anatomy educationEducational technologiesMedical educationPreclinical educationTeaching

Identifiers

PMID39450022
PMCPMC11496393

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.