Evidence map›Paper›PMID 28529537›Full record

ArticleComputational and mathematical methods in medicine2017

A Web-Based Tool for Automatic Data Collection, Curation, and Visualization of Complex Healthcare Survey Studies including Social Network Analysis.

José Alberto Benítez, José Emilio Labra, Enedina Quiroga, Vicente Martín, Isaías García, Pilar Marqués-Sánchez, Carmen Benavides

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

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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 at 2 institutions in 1 country.

José Alberto BenítezDepartment of Electrical and Systems Engineering, Universidad de León, Campus de Vegazana, s/n, 24071 León, Spain.ORCID 0000-0002-4450-349X
José Emilio LabraDepartment of Computer Science, Universidad de Oviedo, C/Calvo Sotelo, s/n, 33007 Oviedo, Spain.
Enedina QuirogaSALBIS Research Group, Facultad de Ciencias de la Salud, Campus de Ponferrada, Avda Astorga, s/n, Ponferrada, 24402 León, Spain.
Vicente MartínGIGAS Research Group, Facultad de Ciencias de la Salud, Campus de Vegazana, s/n, 24071 León, Spain.
Isaías GarcíaDepartment of Electrical and Systems Engineering, Universidad de León, Campus de Vegazana, s/n, 24071 León, Spain.
Pilar Marqués-SánchezSALBIS Research Group, Facultad de Ciencias de la Salud, Campus de Ponferrada, Avda Astorga, s/n, Ponferrada, 24402 León, Spain.
Carmen BenavidesDepartment of Electrical and Systems Engineering, Universidad de León, Campus de Vegazana, s/n, 24071 León, Spain.
Universidad de León · ESUniversidad de Oviedo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a great concern nowadays regarding alcohol consumption and drug abuse, especially in young people. Analyzing the social environment where these adolescents are immersed, as well as a series of measures determining the alcohol abuse risk or personal situation and perception using a number of questionnaires like AUDIT, FAS, KIDSCREEN, and others, it is possible to gain insight into the current situation of a given individual regarding his/her consumption behavior. But this analysis, in order to be achieved, requires the use of tools that can ease the process of questionnaire creation, data gathering, curation and representation, and later analysis and visualization to the user. This research presents the design and construction of a web-based platform able to facilitate each of the mentioned processes by integrating the different phases into an intuitive system with a graphical user interface that hides the complexity underlying each of the questionnaires and techniques used and presenting the results in a flexible and visual way, avoiding any manual handling of data during the process. Advantages of this approach are shown and compared to the previous situation where some of the tasks were accomplished by time consuming and error prone manipulations of data.

Indexed as

InternetSocial SupportData CollectionFemaleHealth Care SurveysHumansMaleSubstance-Related Disorders

Identifiers

PMID28529537
PMCPMC5424185
OpenAlexW2607594903

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.