Evidence map›Paper›PMID 38040839›Full record

ArticleScientific reports2023

Real-world retention rates of biologics in patients with rheumatoid arthritis.

Kenji Takami, Shigeyoshi Tsuji

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
1.2field-weighted citation impact, top 19% 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. Article
  4. Programmable chronogenetic gene circuits for self-regulated circadian delivery of biologic drugs.Journal of controlled release : official journal of the Controlled Release Society · 2025
    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

2 authors at 1 institution in 1 country.

Kenji TakamiDepartment of Orthopaedic Surgery, Nippon Life Hospital, 2-1-54 Enokojima, Nishi-ku, Osaka, 550-0006, Japan. k.takami14@gmail.com.
Shigeyoshi TsujiDepartment of Orthopaedic Surgery, Nippon Life Hospital, 2-1-54 Enokojima, Nishi-ku, Osaka, 550-0006, Japan.
Nippon Medical School Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although biologics have their own characteristics, there are no clear criteria for selecting them to treat the patients with rheumatoid arthritis. To assist in selecting biologics, we investigated the retention rates of biologics at our institution. We examined retention rates, and reasons for dropout for biologics in 393 cases and 605 prescriptions (of which 378 prescriptions were as naive) at our hospital since October 2003. Throughout the entire course of the study, etanercept (ETN) was the most frequently used biologic, followed by adalimumab (ADA) and tocilizumab (TCZ). When narrowed down to the later period from 2010, ETN was still the most used, followed by TCZ and abatacept (ABT). When the retention rates were compared in biologic naive patients, the retention rates were TCZ, ABT, ETN, certolizumab pegol (CZP), golimumab (GLM), infliximab (IFX), and ADA, in that order. The retention rates were better with the first use of each biologic. The main reasons for dropout were primary ineffectiveness, secondary ineffectiveness, and infection. ETN was the most used biologic in our hospital, with an increasing trend toward the use of non-TNF inhibitors. Retention rates were higher in non-TNF inhibitors.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidBiological ProductsAbataceptAdalimumabEtanerceptHumansInfliximabTreatment OutcomeAbataceptAdalimumabAntirheumatic AgentsBiological ProductsEtanerceptInfliximab

Identifiers

PMID38040839
PMCPMC10692158
OpenAlexW4389241638

What OpenQuestion holds

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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.