Evidence map›Paper›PMID 36297350›Full record

ArticlePharmaceuticals (Basel, Switzerland)2022

Monitoring Appropriate Monoclonal Antibodies Prescribing via Administrative Data: An Application to Psoriasis.

Elisa Guidotti, Chiara Seghieri, Bruna Vinci, Alice Borghini, Francesco Attanasio

Abstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Elisa GuidottiManagement and Health Laboratory, Institute of Management and Department EMbeDS, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.
Chiara SeghieriManagement and Health Laboratory, Institute of Management and Department EMbeDS, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.
Bruna VinciManagement and Health Laboratory, Institute of Management and Department EMbeDS, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.
Alice BorghiniManagement and Health Laboratory, Institute of Management and Department EMbeDS, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.
Francesco AttanasioDrugs and Appropriateness Policy Sector, Regional Government, 50139 Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Italian Medicines Agency (AIFA) and the Italian Regional Health Systems have implemented measures together with data collection and analysis to improve medicines' appropriate prescription. Administrative databases represent rich Real-World Evidence (RWE) sources that may be leveraged for research purposes. Thus, such heritage may allow for appropriate prescription studies to be carried out on complex pharmaceutical molecules, as the appropriateness of prescriptions is essential both for patients' treatment and to ensure healthcare systems' sustainability. This study analyzed the appropriate monoclonal antibodies (mAbs) prescribed in psoriasis treatment across Tuscany, Italy. Data were extracted from several large administrative databases collected by the Tuscan Regional Healthcare System through record linkages. The analysis showed that over 30% of the 2020 cohort of psoriatic patients could be regarded as potentially inappropriate treated, signaling that mAbs are often prescribed as first-line treatment contrary to guidelines. Variation was observed in the appropriate prescription of mAbs, across different types of mAbs and areas. The study revealed potential inappropriate prescription, and its geographic variation should raise awareness among managers about the appropriate use of resources. Despite limitations, this could represent a pilot for future studies to evaluate the appropriate prescription of mAbs in other clinic conditions and across time.

Indexed as

administrative dataappropriatenessmonoclonal antibodiespsoriasisRWE

Identifiers

PMID36297350
PMCPMC9610535

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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.