Evidence map›Paper›PMID 33204763›Full record

ArticleOpen forum infectious diseases2020

Bringing New Meaning to the Term "Adaptive Trial": Challenges of Conducting Clinical Research During the Coronavirus Disease 2019 Pandemic and Implications for Implementation Science.

Westyn Branch-Elliman, A Rani Elwy, Paul Monach

Open access · goldAbstract readEditorial
In one paragraph

Article in Open forum infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.7field-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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

3 authors at 2 institutions in 1 country.

Westyn Branch-EllimanVA Boston Healthcare System, Department of Medicine, Boston, Massachussetts, USA.ORCID 0000-0002-9658-5124
A Rani ElwyVA Boston Center for Healthcare Organization and Implementation Research (CHOIR), Boston, Massachussetts, USA.
Paul MonachVA Boston Healthcare System, Department of Medicine, Boston, Massachussetts, USA.
Harvard University · USBrown University · US

Funding

K12 Cardiopulmonary Implementation Science Scholars ProgramK12HL138049 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEMON, STEPHENIE C., LINDENAUER, PETER KYLE · 2017 to 2021
$2.7M
NHLBI NIH HHS K12 HL138049
6 · The paper itself

Abstract

Although implementation of evidence-based practices takes an average of 17 years, in the context of the global pandemic, coronavirus disease 2019 (COVID-19) interventions were adopted in a greatly compressed time frame. This rapid uptake creates major challenges for conducting COVID-19 clinical research studies, because quickly evolving standards make it difficult to adapt in real time. The rapid dissemination and implementation of COVID-19 interventions is the realization of goals long pursued by the implementation science community. However, the downside of the rapid implementation is that low-quality evidence with little to no scientific vetting may be quickly integrated into clinical care, resulting in lost opportunities to advance our scientific understanding about how to manage infected patients. In the future, novel adaptive designs embedded into electronic health records (Embedded Quantified, Integrated-into-Practice Trial [EQuIPT] designs) that allow for easier and better access to clinical trials may simultaneously improve care and advance healthcare innovations.

Indexed as

adaptive clinical trialsCOVID-19diffusion of innovationsimplementation science

Identifiers

PMID33204763
PMCPMC7654375
OpenAlexW3094482594

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.