Evidence map›Paper›PMID 34786452›Full record

ArticleInformatics in medicine unlocked2021

Rapid implementation of a modular clinical trial informatics solution for COVID-19 research.

Rupali Dhond, Ryan Acher, Sarah Leatherman, Sarah Page, Randolph Sanford, Danne Elbers, Frank Meng, Ryan Ferguson, Mary T Brophy, Nhan V Do

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Informatics in medicine unlocked, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04359901 (Sarilumab for Patients With Moderate COVID-19 Disease), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 39% 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.

NCT04359901 phase2completednot on this map

Sarilumab for Patients With Moderate COVID-19 Disease: A Randomized Controlled Trial With a Play-The-Winner Design

TypeinterventionalSponsorWestyn Branch-EllimanRan2020 to 2021Enrolled50ConditionsCOVIDArmsSARILUMAB
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Alcohol-Related Hospitalizations During the Initial COVID-19 Lockdown in Massachusetts: An Interrupted Time-Series Analysis.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2023
    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

10 authors at 2 institutions in 1 country.

Rupali DhondVA Boston Healthcare System, Boston, MA, USA.
Ryan AcherVA Boston Healthcare System, Boston, MA, USA.
Sarah LeathermanVA Boston Healthcare System, Boston, MA, USA.
Sarah PageVA Boston Healthcare System, Boston, MA, USA.
Randolph SanfordVA Boston Healthcare System, Boston, MA, USA.
Danne ElbersVA Boston Healthcare System, Boston, MA, USA.
Frank MengVA Boston Healthcare System, Boston, MA, USA.
Ryan FergusonVA Boston Healthcare System, Boston, MA, USA.
Mary T BrophyVA Boston Healthcare System, Boston, MA, USA.
Nhan V DoVA Boston Healthcare System, Boston, MA, USA.
VA Boston Healthcare System · USUniversity of Vermont · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Veterans Health Administration (VHA) services are most frequently used by patients 65 years and older, an age group that is disproportionally affected by COVID-19. Here we describe a modular Clinical Trial Informatics Solution (CTIS) that was rapidly developed and deployed to support a multi-hospital embedded pragmatic clinical trial in COVID-19 patients within the VHA. Our CTIS includes tools for patient eligibility screening, informed consent tracking, treatment randomization, EHR data transformation for reporting and interfaces for patient outcome and adverse event tracking. We hope our CTIS component descriptions and practical lessons learned will serve as a useful building block for others creating their own clinical trial tools and have made application and database code publicly available.

Indexed as

Adaptive randomizationCDWEHRElectronic health recordEmbedded pragmaticLearning healthcareVeteransVHA

Identifiers

PMID34786452
PMCPMC8588694
OpenAlexW3214553487

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.