Evidence map›Paper›PMID 37387783›Full record

ArticleFrontiers in medicine2023

Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language processing: a real-world study on patients with rheumatoid arthritis, psoriatic arthritis, and psoriasis.

Francesca Motta, Pierandrea Morandini, Fiore Maffia, Matteo Vecellio, Antonio Tonutti, Maria De Santis, Antonio Costanzo, Francesca Puggioni, Victor Savevski, Carlo Selmi

Abstract read
In one paragraph

Article in Frontiers in medicine, 2023. 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
–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

4 citing papers in PubMed.

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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.

Francesca MottaDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Pierandrea MorandiniArtificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
Fiore MaffiaArtificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
Matteo VecellioDivision of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
Antonio TonuttiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Maria De SantisDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Antonio CostanzoDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Francesca PuggioniDivision of Asthma, Allergy and Personalized Medicine, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
Victor SavevskiArtificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
Carlo SelmiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of a multidisciplinary management of rheumatoid arthritis (RA), psoriatic arthritis (PsA), and psoriasis on systemic glucocorticoids or innovative treatments remains unknown. Rule-based natural language processing and text extraction help to manage large datasets of unstructured information and provide insights into the profile of treatment choices. Methods: We obtained structured information from text data of outpatient visits between 2017 and 2022 using regular expressions (RegEx) to define elastic search patterns and to consider only affirmative citation of diseases or prescribed therapy by detecting negations. Care processes were described by binary flags which express the presence of RA, PsA and psoriasis and the prescription of glucocorticoids and biologics or small molecules in each cases. Logistic regression analyses were used to train the classifier to predict outcomes using the number of visits and the other specialist visits as the main variables. Results: We identified 1743 patients with RA, 1359 with PsA and 2,287 with psoriasis, accounting for 5,677, 4,468 and 7,770 outpatient visits, respectively. Among these, 25% of RA, 32% of PsA and 25% of psoriasis cases received biologics or small molecules, while 49% of RA, 28% of PsA, and 40% of psoriasis cases received glucocorticoids. Patients evaluated also by other specialists were treated more frequently with glucocorticoids (70% vs. 49% for RA, 60% vs. 28% for PsA, 51% vs. 40% for psoriasis; Conclusion: Patients with RA, PsA, or psoriasis undergoing multiple evaluations are more likely to receive innovative treatments or glucocorticoids, possibly reflecting more complex cases.

Indexed as

artificial intelligenceelectronic medical record (EMR)inflammatory arthritispsoriatic arthritisrheumatology

Identifiers

PMID37387783
PMCPMC10301822

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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.