Evidence map›Paper›PMID 34983609›Full record

ArticleOrphanet journal of rare diseases2022

A post pandemic roadmap toward remote assessment for neuromuscular disorders: limitations and opportunities.

Jacqueline Montes, Katy J Eichinger, Amy Pasternak, Cara Yochai, Kristin J Krosschell

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Tele-assessment in limb-girdle muscular dystrophy: feasibility and reliability of patient-led asynchronous method.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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  8. Article
  9. Improving Dysarthric Speech Segmentation With Emulated and Synthetic Augmentation.IEEE journal of translational engineering in health and medicine · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Going digital - a commentary on the terminology used at the intersection of physical activity and digital health.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2022
    Article
  14. Article
  15. 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

5 authors at 4 institutions in 1 country.

Jacqueline MontesDepartment of Rehabilitation and Regenerative Medicine, Columbia University Irving Medical Center, 617 West 168th Street, Room 347, New York, NY, 10002, USA. jm598@cumc.columbia.edu.ORCID 0000-0002-7357-0819
Katy J EichingerDepartment of Neurology, University of Rochester, Rochester, NY, USA.
Amy PasternakDepartments of Physical Therapy and Occupational Therapy Services and Neurology, Boston Children's Hospital, Boston, MA, USA.
Cara YochaiDepartment of Neurology, Columbia University Irving Medical Center, New York City, NY, USA.
Kristin J KrosschellDepartment of Physical Therapy and Human Movement Sciences and Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Columbia University Irving Medical Center · USBoston Children's Hospital · USNorthwestern University · USUniversity of Rochester · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in technology and expanding therapeutic opportunities in neuromuscular disorders has resulted in greater interest in and development of remote assessments. Over the past year, the rapid and abrupt COVID-19 shutdowns and stay-at-home orders imposed challenges to routine clinical management and clinical trials. As in-person services were severely limited, clinicians turned to remote assessments through telehealth to allow for continued care. Typically, disease-specific clinical outcome assessments (COAs) for neuromuscular disorders (NMD) are developed over many years through rigorous and iterative processes to fully understand their psychometric properties. While efforts were underway towards developing remote assessments for NMD before the pandemic, few if any were fully developed or validated. These included assessments of strength, respiratory function and patient-reported outcomes, as well as wearable technology and other devices to quantify physical activity and function. Without many choices, clinicians modified COAs for a virtual environment recognizing it was not yet known how they compared to standard in-person administration. Despite being able to quickly adapt to the demands of the COVID-19 pandemic, these experiences with remote assessments uncovered limitations and opportunities. It became clear that existing COAs required modifications for use in a virtual environment limiting the interpretation of the information gathered. Still, the opportunity for real-world evaluation and reduced patient burden were clear benefits to remote assessment and may provide a more robust understanding and characterization of disease impact in NMD. Hence, we propose a roadmap navigating an informed post-pandemic path toward development and implementation of safe and successful use of remote assessments for patients with NMD.

Indexed as

COVID-19Neuromuscular DiseasesTelemedicineHumansPandemicsSARS-CoV-2Clinical outcome assessments (COA)Clinical trialsNeuromuscular disordersOutcome measureRemote assessmentTelehealth

Identifiers

PMID34983609
PMCPMC8726521
OpenAlexW4205238213

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.