Evidence map›Paper›PMID 35550120›Full record

ArticleBMC medical education2022

Digital science platform: an interactive web application and database of osteological material for anatomy education.

Piotr Regulski, Jacek Tomczyk, Mariusz Białowarczuk, Wojciech Nowak, Marek Niezgódka

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 66% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Piotr RegulskiCenter of Digital Science and Technology, Cardinal Stefan Wyszynski University in Warsaw, Warsaw, Poland. pregulski@interia.pl.
Jacek TomczykInstitute of Biological Sciences, Cardinal Stefan Wyszynski University in Warsaw, Warsaw, Poland.
Mariusz BiałowarczukCenter of Digital Science and Technology, Cardinal Stefan Wyszynski University in Warsaw, Warsaw, Poland.
Wojciech NowakCenter of Digital Science and Technology, Cardinal Stefan Wyszynski University in Warsaw, Warsaw, Poland.
Marek NiezgódkaCenter of Digital Science and Technology, Cardinal Stefan Wyszynski University in Warsaw, Warsaw, Poland.
Cardinal Stefan Wyszyński University in Warsaw · PL

Funding

Ministerstwo Nauki i Szkolnictwa Wyższego 112/WFSN/2020
6 · The paper itself

Abstract

backgroundTo meet the remote-learning constraints imposed due to the COVID-19 pandemic, the Digital Science Platform was developed. Human anatomy courses require practical classes that involve working on prepared specimens, although access to such specimens has been restricted. Therefore, the aim was to prepare appropriate-quality, scanned 3D model databases of human bone specimens and an interactive web application for universal access to educational materials. MAIN BODY: The database is located on the pcn.cnt.edu.pl website and contains 412 three-dimensional osteological models created via a structured light scanner, tomography and microtomography. The webservice contains a search engine and enables interactive visualization of the models. The database can be accessed, without restrictions, by any student or researcher wishing to use the models for noncommercial purposes. The stored models can be visualized with the open-source VisNow platform, which is also available to download from the webservice. The MariaDB backend database was deployed, and an Apache server with a personal home page (PHP) frontend was used.

conclusionThe models in the database are unique due to the specific digitalization process and skeleton specimen origin. Further development of the Digital Science Platform is foreseen in the near future to digitize other valuable materials.

Indexed as

AnatomyCOVID-19HumansLearningPandemicsSoftwareAnatomyCOVID-19Digital Science PlatformEducationPandemicVisualization

Identifiers

PMID35550120
PMCPMC9096743
OpenAlexW4280512632

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.