Evidence map›Paper›PMID 38429658›Full record

ArticleBMC medical research methodology2024

REDCapDM: An R package with a set of data management tools for a REDCap project.

João Carmezim, Pau Satorra, Judith Peñafiel, Esther García-Lerma, Natàlia Pallarès, Naiara Santos, Cristian Tebé

Abstract read
In one paragraph

Article in BMC medical research methodology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

João CarmezimBiostatistics Support and Research Unit, Germans Trias i Pujol Research Institute and Hospital (IGTP), Carretera de Can Ruti, Camí de Les Escoles S/N, 08916, Badalona, Spain.
Pau SatorraBiostatistics Support and Research Unit, Germans Trias i Pujol Research Institute and Hospital (IGTP), Carretera de Can Ruti, Camí de Les Escoles S/N, 08916, Badalona, Spain.
Judith PeñafielBiostatistics Unit, Institut d'Investigació Biomèdica de Bellvitge, Hospitalet de Llobregat, Spain.
Esther García-LermaBiostatistics Unit, Institut d'Investigació Biomèdica de Bellvitge, Hospitalet de Llobregat, Spain.
Natàlia PallarèsBiostatistics Support and Research Unit, Germans Trias i Pujol Research Institute and Hospital (IGTP), Carretera de Can Ruti, Camí de Les Escoles S/N, 08916, Badalona, Spain.
Naiara SantosBiostatistics Unit, Institut d'Investigació Biomèdica de Bellvitge, Hospitalet de Llobregat, Spain.
Cristian TebéBiostatistics Support and Research Unit, Germans Trias i Pujol Research Institute and Hospital (IGTP), Carretera de Can Ruti, Camí de Les Escoles S/N, 08916, Badalona, Spain. ctebe@igtp.cat.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch Electronic Data CAPture (REDCap) is a web application for creating and managing online surveys and databases. Clinical data management is an essential process before performing any statistical analysis to ensure the quality and reliability of study information. Processing REDCap data in R can be complex and often benefits from automation. While there are several R packages available for specific tasks, none offer an expansive approach to data management.

resultsThe REDCapDM is an R package for accessing and managing REDCap data. It imports data from REDCap to R using either an API connection or the files in R format exported directly from REDCap. It has several functions for data processing and transformation, and it helps to generate and manage queries to clarify or resolve discrepancies found in the data.

conclusionThe REDCapDM package is a valuable tool for data scientists and clinical data managers who use REDCap and R. It assists in tasks such as importing, processing, and quality-checking data from their research studies.

Indexed as

Data ManagementSoftwareHumansRecordsReproducibility of ResultsSurveys and QuestionnairesClinical data managementElectronic data captureQueryRREDCap

Identifiers

PMID38429658
PMCPMC10905808

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.