Evidence map›Paper›PMID 34945038›Full record

ArticleJournal of clinical medicine2021

Trajectories of Adherence to Biologic Disease-Modifying Anti-Rheumatic Drugs in Tuscan Administrative Databases: The Pathfinder Study.

Irma Convertino, Sabrina Giometto, Rosa Gini, Massimiliano Cazzato, Marco Fornili, Giulia Valdiserra, Emiliano Cappello, Sara Ferraro, Claudia Bartolini, Olga Paoletti and 9 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

19 authors at 4 institutions in 1 country.

Irma ConvertinoUnit of Pharmacology and Pharmacovigilance, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-7883-3657
Sabrina GiomettoUnit of Medical Statistics, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-3409-1778
Rosa GiniUnit of Pharmacoepidemiology, Tuscan Regional Healthcare Agency, 50100 Florence, Italy.ORCID 0000-0002-6250-877X
Massimiliano CazzatoUnit of Rheumatology, University Hospital of Pisa, 56100 Pisa, Italy.
Marco ForniliUnit of Medical Statistics, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Giulia ValdiserraUnit of Pharmacology and Pharmacovigilance, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0003-1616-8644
Emiliano CappelloUnit of Pharmacology and Pharmacovigilance, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Sara FerraroUnit of Pharmacology and Pharmacovigilance, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Claudia BartoliniUnit of Pharmacoepidemiology, Tuscan Regional Healthcare Agency, 50100 Florence, Italy.
Olga PaolettiUnit of Pharmacoepidemiology, Tuscan Regional Healthcare Agency, 50100 Florence, Italy.
Silvia TillatiUnit of Medical Statistics, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Laura BagliettoUnit of Medical Statistics, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Giuseppe TurchettiInstitute of Management, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.ORCID 0000-0002-1877-5459
Leopoldo TriesteInstitute of Management, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.
Valentina LorenzoniInstitute of Management, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.
Corrado BlandizziUnit of Pharmacology and Pharmacovigilance, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Marta MoscaUnit of Rheumatology, University Hospital of Pisa, 56100 Pisa, Italy.
Marco TuccoriUnit of Pharmacology and Pharmacovigilance, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-7979-8486
Ersilia LucenteforteUnit of Medical Statistics, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-5608-5902
University of Pisa · ITAgenzia Regionale di Sanità della Toscana · ITScuola Superiore Sant'Anna · ITAzienda Ospedaliera Universitaria Pisana · IT

Funding

University of Pisa PRA_2020_57
6 · The paper itself

Abstract

Scanty information on clustering longitudinal real-world data is available in the medical literature about the adherence implementation phase in rheumatoid arthritis (RA). To identify and characterize trajectories by analyzing the implementation phase of adherence to biologic Disease-Modifying Anti-Rheumatic Drugs (DMARDs), we conducted a retrospective cohort drug-utilization study using Tuscan administrative databases. RA patients were identified by a validated algorithm, including the first biologic DMARD supply from 2010 to 2015, RA specialist visit in the year before or after the first supply date and RA diagnosis in the five years before or in the year after the first supply date. We observed users for three years or until death, neoplasia, or pregnancy. We evaluated adherence quarterly through the Medication Possession Ratio. Firstly, we identified adherence trajectories and described the baseline characteristics; then, we focused on the trajectory most populated to distinguish the related sub-trajectories. We identified 952 first ever-biologic DMARD users in RA (712 females, mean age 52.7 years old, standard deviation 18.8). The biologic DMARD mostly supplied was etanercept (387 users) followed by adalimumab (233). Among 935 users with at least 3 adherence values, we identified 49 fully-adherent users, 829 continuous users, and 57 early-discontinuing users. Significant differences were observed among the index drugs. After focusing on the continuous users, three sub-trajectories were identified: continuous-steady users (556), continuous-alternate users (207), and continuous-declining users (66). No relevant differences emerged at the baseline. The majority of first ever-biologic DMARD users showed a continuous adherence behavior in RA. The role of adherence potential predictors and the association with effectiveness and safety outcomes should be explored by further studies.

Indexed as

adherencebiologicDMARDreal world evidencerheumatoid arthritis

Identifiers

PMID34945038
PMCPMC8708974
OpenAlexW4200162660

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.