Evidence map›Paper›PMID 34705122›Full record

ReviewCurrent neurology and neuroscience reports2021

Strategies for Behavioral Research in Neurology: Lessons Learned During the COVID-19 Pandemic and Applications for the Future.

Ami Z Cuneo, Kazi Maisha, Mia T Minen

Open access · bronzeAbstract readReview
In one paragraph

Review in Current neurology and neuroscience reports, 2021. 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
1.3field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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 3 institutions in 1 country.

Ami Z CuneoNeurology, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, USA. amiza@uw.edu.
Kazi MaishaNew York University, New York, NY, USA.
Mia T MinenCity College of New York, New York, NY, USA.
City College of New York · USNew York University · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewBehavioral therapies are proven treatments for many neurologic conditions. However, the COVID-19 pandemic has posed significant challenges for conducting behavioral research. This article aims to (1) highlight the challenges of running behavioral clinical trials during the pandemic, (2) suggest approaches to maximize generalizability of pandemic-era studies, and (3) offer strategies for successful behavioral trials beyond the pandemic. RECENT

findingsThousands of clinical trials have been impacted by the COVID-19 pandemic, from undergoing protocol revisions to suspension altogether. Furthermore, for ongoing trials, recruitment of diverse populations has suffered, thereby exacerbating existing inequities in clinical research. Patient adherence and retention have been affected by a myriad of pandemic-era restraints, and medical, psychiatric, and other complications from the pandemic have the potential to have long-term effects on pandemic-era study results. In the development of post-pandemic study protocols, attention should be given to designing studies that incorporate successful aspects of pre-pandemic and pandemic-era strategies to (1) broaden recruitment using new techniques, (2) improve access for diverse populations, (3) expand protocols to include virtual and in-person participation, and (4) increase patient adherence and retention.

Indexed as

COVID-19NeurologyBehavioral ResearchHumansPandemicsSARS-CoV-2AdherenceBehavioral researchCOVID-19 pandemicDiversity in clinical trialsRecruitment

Identifiers

PMID34705122
PMCPMC8548698
OpenAlexW3211248795

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.