Evidence map›Paper›PMID 10160097›Full record

ReviewPharmacoEconomics1996

Outcomes assessment of drug treatment in multiple sclerosis clinical trials.

M Malone, B Lomaestro

Abstract readReview
PubMed Publisher
In one paragraph

Review in PharmacoEconomics, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Assessing cost-effectiveness in the management of multiple sclerosis.ClinicoEconomics and outcomes research : CEOR · 2009
    Article
  2. Review
  3. 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

2 authors at 2 institutions in 1 country.

M MaloneDepartment of Pharmacy Practice, Albany College of Pharmacy, New York, USA.
B Lomaestro
Albany College of Pharmacy and Health Sciences · USAlbany Medical Center Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this review is to evaluate the clinical outcomes of drug therapy in the treatment of multiple sclerosis (MS) in those studies which purported to include an assessment of quality of life. Pharmacological management of MS is primarily directed towards control of symptoms and prevention of disease progression or relapse. Although there are many drug and nondrug approaches used in the treatment of MS, this review focuses largely on approaches that incorporate some method of clinical outcome assessment. To aid in the interpretation of the data presented, a short descriptive summary of these assessment methods has been included. Although most studies incorporate at least one clinical outcome measure into the evaluation of efficacy, only one study has examined the economic impact of intervention in MS. The authors of that study demonstrated good correlation between the level of disability assessed using conventional quality-of-life measures and associated healthcare costs. Surprisingly, although many treatment approaches used in MS have significant associated toxicity and only modest benefits in terms of disease control, there is a remarkable paucity of data on the impact of these treatments on patients' quality of life. Studies that incorporate pharmacoeconomic and health-related quality-of-life consequences related to the treatment of MS are required.

Indexed as

Outcome Assessment, Health CareClinical Trials as TopicDisability EvaluationGlucocorticoidsHumansImmunoglobulinsMultiple SclerosisMuscle Relaxants, CentralGlucocorticoidsImmunoglobulinsMuscle Relaxants, Central

Identifiers

PMID10160097
OpenAlexW2070205951

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.