Evidence map›Paper›PMID 34949007›Full record

ArticleInternational journal of environmental research and public health2021

Use of State Sequence Analysis in Pharmacoepidemiology: A Tutorial.

Jacopo Vanoli, Consuelo Rubina Nava, Chiara Airoldi, Andrealuna Ucciero, Virginio Salvi, Francesco Barone-Adesi

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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  6. Pathways to autism diagnosis in adulthood.Journal of neurodevelopmental disorders · 2025
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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

6 authors at 4 institutions in 3 countries.

Jacopo VanoliLondon School of Hygiene and Tropical Medicine (LSHTM), London WC1E 7HT, UK.ORCID 0000-0003-0196-4170
Consuelo Rubina NavaDepartment of Economics and Statistics "Cognetti de Martiis", University of Turin, 10124 Turin, Italy.ORCID 0000-0002-8046-8185
Chiara AiroldiDepartment of Translational Medicine, University of Eastern Piedmont, 28100 Novara, Italy.ORCID 0000-0002-9114-5816
Andrealuna UccieroDepartment of Translational Medicine, University of Eastern Piedmont, 28100 Novara, Italy.
Virginio SalviDepartment of Neuroscience, ASST Fatebenefratelli Sacco, 20157 Milan, Italy.ORCID 0000-0003-3374-018X
Francesco Barone-AdesiDepartment of Neuroscience, ASST Fatebenefratelli Sacco, 20157 Milan, Italy.ORCID 0000-0003-1550-436X
ASST Fatebenefratelli Sacco · ITUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITLondon School of Hygiene & Tropical Medicine · GBUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While state sequence analysis (SSA) has been long used in social sciences, its use in pharmacoepidemiology is still in its infancy. Indeed, this technique is relatively easy to use, and its intrinsic visual nature may help investigators to untangle the latent information within prescription data, facilitating the individuation of specific patterns and possible inappropriate use of medications. In this paper, we provide an educational primer of the most important learning concepts and methods of SSA, including measurement of dissimilarities between sequences, the application of clustering methods to identify sequence patterns, the use of complexity measures for sequence patterns, the graphical visualization of sequences, and the use of SSA in predictive models. As a worked example, we present an application of SSA to opioid prescription patterns in patients with non-cancer pain, using real-world data from Italy. We show how SSA allows the identification of patterns in prescriptions in these data that might not be evident using standard statistical approaches and how these patterns are associated with future discontinuation of opioid therapy.

Indexed as

Analgesics, OpioidPharmacoepidemiologyCluster AnalysisHumansPractice Patterns, Physicians'PrescriptionsSequence AnalysisAnalgesics, Opioiddata-miningpharmacoepidemiologystate-sequence analysis

Identifiers

PMID34949007
PMCPMC8705850
OpenAlexW4200224141

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.