Evidence map›Paper›PMID 30692854›Full record

ReviewNoro psikiyatri arsivi2018

Performance Measures for Upper Extremity Functions in Persons with Multiple Sclerosis.

Turhan Kahraman

Abstract readReview
In one paragraph

Review in Noro psikiyatri arsivi, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Cross-cultural adaptation and psychometric properties of the Turkish version of the Manual Ability Measure-36 (MAM-36) in people with multiple sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Article
  5. Italian translation and psychometric validation of the Manual Ability Measure-36 (MAM-36) and its correlation with an objective measure of upper limb function in patients with multiple sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020
    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

1 author at 1 institution in 1 country.

Turhan KahramanDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, İzmir Katip Çelebi University, Turkey.
Izmir Kâtip Çelebi University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies suggest that upper extremity dysfunction is a quite common symptom in multiple sclerosis (MS), and affects adversely the activities of daily living even in the early stages of the disease. It is an undeniable fact that assessment is a crucial component for a disease management. The performance is defined as "what an individual does in his or her current environment" according to the International Classification of Functioning, Disability and Health (ICF). Performance measures for upper extremity have been used relatively recent in persons with MS. ABILHAND, Manual Ability Measurement (MAM), Disabilities of the Arm Shoulder and Hand Outcome Measure, and Motor Activity Log are commonly used perceived performance measures for upper extremity functions in persons with MS. Because of their modern psychometric properties, ABILHAND and MAM stands out from other measures. Only available actual performance measures for upper extremity functions in persons with MS are accelerometers. In addition to their advantages, they have some disadvantages waiting to be solved.

Indexed as

functionmeasuremultiple sclerosisTask performance and analysisupper extremity

Identifiers

PMID30692854
PMCPMC6278617
OpenAlexW2890692232

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.