Evidence map›Paper›PMID 27494787›Full record

Observational studyMedical science monitor : international medical journal of experimental and clinical research2016

Effect of Chronic Medical Conditions in Veterans with Multiple Sclerosis on Long-Term Disability.

Meheroz H Rabadi, Christopher E Aston

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Medical science monitor : international medical journal of experimental and clinical research, 2016. 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, top 91% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

2 authors at 1 institution in 1 country.

Meheroz H RabadiDepartment of Neurology, Oklahoma City Veterans Affairs Medical Center, Oklahoma City, OK, USA.
Christopher E AstonDepartment of Pediatrics, Oklahoma University Health Sciences Center, Oklahoma City, OK, USA.
University of Oklahoma Medical Center · US

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI JENNIFER DAVID PECK · 2013 to 2026
$68.2M
NIGMS NIH HHS U54 GM104938
6 · The paper itself

Abstract

BACKGROUND The goal of this observational study was to examine the effect of common chronic medical conditions (CMCs) on long-term disability (activity limitation) in veterans already diagnosed with multiple sclerosis (MS). MATERIAL AND METHODS We retrospectively reviewed the electronic charts of 124 veterans with MS who have been regularly followed in our MS clinic for 10 or more years. General linear model analysis examined whether MS-related severity as measured by the Expanded Disability Status Scale (EDSS) and the presence of CMCs affected long-term disability as measured by the total score on the Functional Independence Measure (TFIM). RESULTS Commonly encountered CMCs were increased BMI (61%), hyperlipidemia (78%), hypertension (65%), current smokers (47%), and arthritis/arthralgia (24%). Results suggest that the number of CMCs was not predictive of final TFIM scores; of the variables examined, only initial EDSS score was predictive of final TFIM scores. CONCLUSIONS The presence of CMCs did not affect the long-term disability in veterans diagnosed with MS, this was due mainly to CMCs being closely monitored and co-treated with other medical specialties.

Indexed as

Persons with DisabilitiesVeteransAdultAgedChronic DiseaseDisability EvaluationFemaleHumansLongitudinal StudiesMaleMiddle AgedMultiple SclerosisRetrospective StudiesSeverity of Illness Index

Identifiers

PMID27494787
PMCPMC4978209
OpenAlexW2504326825

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.