Evidence map›Paper›PMID 38867185›Full record

ArticleBMC bioinformatics2024

StatiCAL: an interactive tool for statistical analysis of biomedical data and scientific valorization.

Tanguy Pace-Loscos, Jocelyn Gal, Sara Contu, Renaud Schiappa, Emmanuel Chamorey, Dorian Culié

Abstract read
In one paragraph

Article in BMC bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  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

6 authors.

Tanguy Pace-LoscosDépartement d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France. tanguy.pace-loscos@nice.unicancer.fr.
Jocelyn GalDépartement d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France.
Sara ContuDépartement d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France.
Renaud SchiappaDépartement d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France.
Emmanuel Chamorey *Département d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France.
Dorian Culié *Institut Universitaire de la Face et du Cou, Centre Antoine Lacassagne, Département de Chirurgie Cervico-Faciale, Université Cote d'Azur, 06103, Nice, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the realm of biomedical research, the growing volume, diversity and quantity of data has escalated the demand for statistical analysis as it is indispensable for synthesizing, interpreting, and publishing data. Hence the need for accessible analysis tools drastically increased. StatiCAL emerges as a user-friendly solution, enabling researchers to conduct basic analyses without necessitating extensive programming expertise.

resultsStatiCAL includes divers functionalities: data management, visualization on variables and statistical analysis. Data management functionalities allow the user to freely add or remove variables, to select sub-population and to visualise selected data to better perform the analysis. With this tool, users can freely perform statistical analysis such as descriptive, graphical, univariate, and multivariate analysis. All of this can be performed without the need to learn R coding as the software is a graphical user interface where all the action can be performed by clicking a button.

conclusionsStatiCAL represents a valuable contribution to the field of biomedical research. By being open-access and by providing an intuitive interface with robust features, StatiCAL allow researchers to gain autonomy in conducting their projects.

Indexed as

Biomedical ResearchSoftwareComputational BiologyData Interpretation, StatisticalData ManagementUser-Computer InterfaceData analysisData managementMedical statisticsStatistical software

Identifiers

PMID38867185
PMCPMC11167775

What Socratic 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 Socratic graph.