Evidence map›Paper›PMID 35683344›Full record

ArticleJournal of clinical medicine2022

Risk of Severe Infection among Rheumatoid Arthritis Patients on Biological DMARDs: A Population-Based Cohort Study.

Mattia Bellan, Lorenza Scotti, Daniela Ferrante, Elisa Calzaducca, Giulia Francesca Manfredi, Pier Paolo Sainaghi, Francesco Barone-Adesi

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Observational
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  8. Review
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

7 authors at 1 institution in 1 country.

Mattia BellanDepartment of Translational Medicine (DiMet), Università del Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.ORCID 0000-0003-1488-8736
Lorenza ScottiDepartment of Translational Medicine (DiMet), Università del Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.
Daniela FerranteDepartment of Translational Medicine (DiMet), Università del Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.
Elisa CalzaduccaDepartment of Translational Medicine (DiMet), Università del Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.ORCID 0000-0002-4627-6470
Giulia Francesca ManfrediDepartment of Translational Medicine (DiMet), Università del Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.ORCID 0000-0002-2399-5376
Pier Paolo SainaghiDepartment of Translational Medicine (DiMet), Università del Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.ORCID 0000-0001-8322-9158
Francesco Barone-AdesiDepartment of Translational Medicine (DiMet), Università del Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.ORCID 0000-0003-1550-436X
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

AGING Project Department of Excellence-Department of Translational Medicine, Università del Piemonte OrientaleItalian Ministry of Health NET-2016-02361805 (MULTIPLAT_AGE)
6 · The paper itself

Abstract

Biological disease-modifying anti-rheumatic drugs (bDMARDs) are widely used for the management of rheumatoid arthritis, although their benefits are counterweight by an increased risk of infections. In the present study, we used administrative data to compare the risk of severe infections among different classes of bDMARDs. A retrospective cohort study was conducted using Administrative Health Databases of the Piedmont Region, Italy. Relevant data were obtained from: (1) the inhabitants registry, (2) hospital discharge records, and (3) the co-payment exemption registry and (4) drug claims registry. Fine and Gray competing risk models were fitted to evaluate the association between the use of different types of bDMARDs and occurrence of severe infection accounting for treatment interruption as competing risk. A total of 1780 new users of bDMARDs were identified. Among them, 50 hospitalizations for infection occurred during the study period. The use of Tocilizumab was associated with an increased risk of infection, compared to tumor necrosis factor (TNF) inhibitor drugs (sub-distribution hazard ratios-sHR: 2.510; 95% CI: 1.279-4.926), whereas no difference in the risk of severe infection was found for abatacept (sHR: 0.584; 95% CI: 0.234-1.457). bDMARDs treatment is generally safe in clinical practice with slight but important differences among classes. The increased risk of infection associated with tocilizumab use should be taken into account when balancing the risk and benefits of starting a treatment with this drug.

Indexed as

biological DMARDsrheumatoid arthritissevere infection

Identifiers

PMID35683344
PMCPMC9181346
OpenAlexW4281557842

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.