Evidence map›Paper›PMID 24939980›Full record

Observational studyAmerican journal of epidemiology2014

Marginal structural Cox models for estimating the association between β-interferon exposure and disease progression in a multiple sclerosis cohort.

Mohammad Ehsanul Karim, Paul Gustafson, John Petkau, Yinshan Zhao, Afsaneh Shirani, Elaine Kingwell, Charity Evans, Mia van der Kop, Joel Oger, Helen Tremlett

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in American journal of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 72 citations in OpenAlex.

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  16. Adherence toFrontiers in nutrition · 2022
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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

10 authors at 2 institutions in 2 countries.

Mohammad Ehsanul Karim
Paul Gustafson
John Petkau
Yinshan Zhao
Afsaneh Shirani
Elaine Kingwell
Charity Evans
Mia van der Kop
Joel Oger
Helen Tremlett
University of British Columbia · CAInstitute of Neurological Sciences · IT

Funding

Canadian Institutes of Health Research MOP-93646
6 · The paper itself

Abstract

Longitudinal observational data are required to assess the association between exposure to β-interferon medications and disease progression among relapsing-remitting multiple sclerosis (MS) patients in the "real-world" clinical practice setting. Marginal structural Cox models (MSCMs) can provide distinct advantages over traditional approaches by allowing adjustment for time-varying confounders such as MS relapses, as well as baseline characteristics, through the use of inverse probability weighting. We assessed the suitability of MSCMs to analyze data from a large cohort of 1,697 relapsing-remitting MS patients in British Columbia, Canada (1995-2008). In the context of this observational study, which spanned more than a decade and involved patients with a chronic yet fluctuating disease, the recently proposed "normalized stabilized" weights were found to be the most appropriate choice of weights. Using this model, no association between β-interferon exposure and the hazard of disability progression was found (hazard ratio = 1.36, 95% confidence interval: 0.95, 1.94). For sensitivity analyses, truncated normalized unstabilized weights were used in additional MSCMs and to construct inverse probability weight-adjusted survival curves; the findings did not change. Additionally, qualitatively similar conclusions from approximation approaches to the weighted Cox model (i.e., MSCM) extend confidence in the findings.

Indexed as

Disease ProgressionProportional Hazards ModelsBritish ColumbiaCohort StudiesConfounding Factors, EpidemiologicHumansImmunologic FactorsInterferon-betaMultiple Sclerosis, Relapsing-RemittingProbabilitySurvival AnalysisImmunologic FactorsInterferon-betabias (epidemiology)causalityconfounding factors (epidemiology)epidemiologic methodsinverse probability weightingmarginal structural Cox modelmultiple sclerosissurvival analysis

Identifiers

PMID24939980
PMCPMC4082342
OpenAlexW2096292456

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.