Evidence map›Paper›PMID 35085832›Full record

ArticleContemporary clinical trials2022

Technical procedures and REDCap tools for internet-based clinical trials.

Ananta S Bangdiwala, David R Boulware

Abstract read
In one paragraph

Article in Contemporary clinical trials, 2022. 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. Article
  2. Article
  3. Article
  4. 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

2 authors.

Ananta S BangdiwalaSchool of Public Health, University of Minnesota, Minneapolis, MN, USA. Electronic address: Ananta@umn.edu.
David R BoulwareDepartment of Medicine, University of Minnesota, Minneapolis, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In March of 2020 our team of researchers developed and opened three clinical trials to investigate hydroxychloroquine as prophylaxis or treatment for the coronavirus disease 2019 (COVID-19). We simultaneously built corresponding Research Electronic Data Capture (REDCap) projects for these low-touch, remote trials that relied on participant-reported data. REDCap has built-in features that support pragmatic, internet-based studies, and REDCap is flexible enough to allow creative solutions for specific trials. We describe challenges, choices, and suggestions based on our experience with REDCap for our COVID-19 trials.

Indexed as

COVID-19Clinical Trials as TopicHumansHydroxychloroquineInternetResearch DesignHydroxychloroquineAutomationClinical trialsCovid-19Data base managementPatient-oriented researchSurvey

Identifiers

PMID35085832
PMCPMC8786406

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.