Evidence map›Paper›PMID 36714150›Full record

ArticleFrontiers in medicine2022

Real-time associations among MS symptoms and cognitive dysfunction using ecological momentary assessment.

Michelle H Chen, Christine Cherian, Karen Elenjickal, Caroline M Rafizadeh, Mindy K Ross, Alex Leow, John DeLuca

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Information from ecological momentary assessments lead to over-medicalization: Yes.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024
    Article
  12. Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024
    Review
  13. 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

7 authors.

Michelle H ChenInstitute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States.
Christine CherianInstitute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States.
Karen ElenjickalInstitute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States.
Caroline M RafizadehKessler Foundation, East Hanover, NJ, United States.
Mindy K RossDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States.
Alex LeowDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States.
John DeLucaKessler Foundation, East Hanover, NJ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Multiple sclerosis (MS) is characterized by a wide range of disabling symptoms, including cognitive dysfunction, fatigue, depression, anxiety, pain, and sleep difficulties. The current study aimed to examine real-time associations between non-cognitive and cognitive symptoms (latter measured both objectively and subjectively in real-time) using smartphone-administered ecological momentary assessment (EMA). Methods: Forty-five persons with MS completed EMA four times per day for 3 weeks. For each EMA, participants completed mobile versions of the Trail-Making Test part B (mTMT-B) and a finger tapping task, as well as surveys about symptom severity. Multilevel models were conducted to account for within-person and within-day clustering. Results: A total of 3,174 EMA sessions were collected; compliance rate was 84%. There was significant intra-day variability in mTMT-B performance ( Discussion: The current study was the first to identify divergent factors that influence subjectively and objectively measured cognitive functioning

Indexed as

anxietycognitive impairmentdepressionexperience samplingfatiguemultiple sclerosis (MS)painsleep

Identifiers

PMID36714150
PMCPMC9877417

What OpenQuestion holds

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Registered trials

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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.