Evidence map›Paper›PMID 29270087›Full record

ArticleInternational journal of MS care

Fatigue and Mood States in Nursing Home and Nonambulatory Home-Based Patients with Multiple Sclerosis.

Zilfah Younus, Caila B Vaughn, Shaik Ahmed Sanai, Katelyn S Kavak, Sahil Gupta, Muhammad Nadeem, Barbara E Teter, Katia Noyes, Robert Zivadinov, Keith Edwards and 4 more

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. Article
  2. Neuroimaging Correlates of Patient-Reported Outcomes in Multiple Sclerosis.Degenerative neurological and neuromuscular disease · 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

14 authors.

Zilfah Younus
Caila B Vaughn
Shaik Ahmed Sanai
Katelyn S Kavak
Sahil Gupta
Muhammad Nadeem
Barbara E Teter
Katia Noyes
Robert Zivadinov
Keith Edwards
Patricia K Coyle
Andrew Goodman
Bianca Weinstock-Guttman
New York State Multiple Sclerosis Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) is a chronic, progressively disabling condition of the central nervous system. We sought to evaluate and compare mood states in patients with MS with increased disability residing in nursing homes and those receiving home-based care.

methodsWe conducted a cross-sectional analysis of the New York State Multiple Sclerosis Consortium to identify patients with MS using a Kurtzke Expanded Disability Status Scale (EDSS) score of 7.0 or greater. The nursing home group was compared with home-based care patients regarding self-reported levels of loneliness, pessimism, tension, panic, irritation, morbid thoughts, feelings of guilt, and fatigue using independent-samples t tests and χ

resultsNinety-four of 924 patients with EDSS scores of at least 7.0 lived in a nursing home (10.2%). Nursing home patients were less likely to use disease-modifying therapy and had higher mean EDSS scores compared with home-based patients. However, nursing home patients were less likely than home-based patients to report fatigue (odds ratio [OR] for no fatigue, 3.8; 95% CI, 2.1-7.2), feeling tense (OR for no tension, 1.7; 95% CI, 1.1-2.7), and having feelings of pessimism (OR for no pessimism, 1.8; 95% CI, 1.2-2.8).

conclusionsThe nursing home patients with MS were less likely to report fatigue, pessimism, and tension than those receiving home-based care. Further studies should examine ways of facilitating a greater degree of autonomy and decision-making control in MS patients receiving home-based care.

Identifiers

PMID29270087
PMCPMC5734713

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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.