Evidence map›Paper›PMID 37469332›Full record

ArticleInternational journal of MS care

Climate Change and the Urgent Need to Prepare Persons With Multiple Sclerosis for Extreme Hurricanes.

Sharon L Hsieh, James M Shultz, Farren Briggs, Zelde Espinel, Lauren T Shapiro

Abstract read
In one paragraph

Article in International journal of MS care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Sharon L HsiehFrom the MD/MPH Program (SLH), University of Miami Leonard M. Miller School of Medicine, Miami, FL, USA.
James M ShultzDepartment of Public Health Sciences (JMS), University of Miami Leonard M. Miller School of Medicine, Miami, FL, USA.
Farren BriggsThe Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA (FB).
Zelde EspinelDepartment of Psychiatry and Behavioral Sciences and Sylvester Comprehensive Cancer Center (ZE), University of Miami Leonard M. Miller School of Medicine, Miami, FL, USA.
Lauren T ShapiroDepartment of Physical Medicine and Rehabilitation (LTS), University of Miami Leonard M. Miller School of Medicine, Miami, FL, USA.ORCID https://orcid.org/0000-0003-4033-266X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is contributing to increasingly hazardous tropical cyclones that endanger persons living in susceptible coastal and island communities. People living with chronic illness, including multiple sclerosis (MS), face unique challenges and vulnerabilities when exposed to hurricane hazards. Disaster and emergency preparedness requires a customized approach that considers the necessary adaptations to accommodate the mobility, self-care, sensory, cognitive, and communication impairments of persons living with MS. Related considerations include the potential for worsening neurologic signs and symptoms during and after a catastrophic storm. The impact of emotional and financial stresses, as well as disruptions in health care delivery, on this population are also key concerns. This paper addresses the challenges faced by individuals with MS in advance of, during, and in the aftermath of extreme storms. We propose new guidelines on how health care professionals can assist persons with MS when creating tailored disaster readiness and response plans.

Indexed as

climate changecyclonic stormsmultiple sclerosisnatural disasters

Identifiers

PMID37469332
PMCPMC10353692

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.