Evidence map›Paper›PMID 32514765›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2020

Comparative risk of osteoporotic fracture among patients with rheumatoid arthritis receiving TNF inhibitors versus other biologics: a cohort study.

A Shin, E H Park, Y-H Dong, Y-J Ha, Y J Lee, E B Lee, Y W Song, E H Kang

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Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Observational
  3. Article
  4. The Effect of Anti-rheumatic Drugs on the Skeleton.Calcified tissue international · 2022
    Review
  5. Mechanisms of Systemic Osteoporosis in Rheumatoid Arthritis.International journal of molecular sciences · 2022
    Review
  6. Review
  7. Review
  8. Article
  9. 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

8 authors.

A ShinDivision of Rheumatology Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea.
E H ParkDivision of Rheumatology Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea.
Y-H DongFaculty of Pharmacy School of Pharmaceutical Science, National Yang-Ming University, Taipei, Taiwan.
Y-J HaDivision of Rheumatology Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea.
Y J LeeDivision of Rheumatology Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea.
E B LeeDivision of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.
Y W SongDivision of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.
E H KangDivision of Rheumatology Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea. kangeh@snubh.org.ORCID http://orcid.org/0000-0001-9697-1159

Funding

Celltrion Healthcare 06-2017-138Hanmi Pharmapseuticals 06-2018-064
6 · The paper itself

Abstract

In this population-based cohort study on comparative osteoporotic fracture risks between different biologic disease-modifying drugs among patients with rheumatoid arthritis (RA), we did not find a significant difference in the risk of osteoporotic fractures between RA patients receiving TNF inhibitors versus abatacept or tocilizumab.

introductionWe aimed to investigate the comparative risk of osteoporotic fractures between rheumatoid arthritis (RA) patients who initiated TNF inhibitors (TNFis) versus abatacept or tocilizumab.

methodsUsing the Korea National Health Insurance Service datasets from 2002 to 2016, RA patients who initiated TNFis, abatacept, or tocilizumab were identified. The primary outcome was a composite end point of non-vertebral fractures and hospitalized vertebral fractures; secondary outcomes were two components of the primary outcome and fractures occurring at the humerus/forearm. Propensity score (PS) matching with a variable ratio up to 10 TNFi initiators per 1 comparator drug initiator was used to adjust for > 50 baseline confounders. We estimated hazard ratios (HRs) and 95% confidence interval (CI) of fractures comparing TNFi initiators to abatacept and to tocilizumab by Cox proportional hazard models stratified by a matching ratio.

resultsAfter PS-matching, 2307 TNFi initiators PS-matched on 588 abatacept initiators, and 2462 TNFi initiators on 640 tocilizumab initiators were included. A total of 77 fractures occurred during a mean follow-up of 454 days among TNFi and abatacept initiators and 83 fractures during 461 days among TNFi and tocilizumab initiators. The PS-matched HR (95% CI) was 0.91 (0.48-1.71) comparing TNFi versus abatacept initiators, and 1.00 (0.55-1.83) comparing TNFi versus tocilizumab initiators. Analysis on vertebral and non-vertebral fractures showed similar results.

conclusionsIn this nationally representative cohort, we did not find a significant difference in the risk of fractures between TNFi initiators versus abatacept or tocilizumab among RA patients.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidBiological ProductsOsteoporotic FracturesTumor Necrosis Factor-alphaCohort StudiesHumansRepublic of KoreaTumor Necrosis Factor InhibitorsAntirheumatic AgentsBiological ProductsTumor Necrosis Factor-alphaTumor Necrosis Factor InhibitorsBiologic disease-modifying drugsComparative riskFracturesRheumatoid arthritis

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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.