Evidence map›Paper›PMID 32732353›Full record

ArticleRMD open2020

Identifying the preferable rheumatoid arthritis subgroups for intervention with the anti-RANKL antibody denosumab to reduce progression of joint destruction.

Yoshiya Tanaka, Satoshi Soen, Naoki Ishiguro, Hisashi Yamanaka, Toshiyuki Yoneda, Sakae Tanaka, Takeshi Ohira, Takaya Nitta, Naoki Okubo, Harry Genant and 2 more

Open access · goldAbstract read
In one paragraph

Article in RMD open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

12 authors at 10 institutions in 3 countries.

Yoshiya TanakaFirst Department of Internal Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan tanaka@med.uoeh-u.ac.jp.ORCID 0000-0002-0807-7139
Satoshi SoenDepartment of Orthopaedic Surgery and Rheumatology, Kindai University Nara Hospital, Ikoma, Japan.
Naoki IshiguroDepartment of Orthopaedics, Nagoya University Graduate School of Medicine, Aichi, Japan.
Hisashi YamanakaDirector of Rheumatology, Sanno Medical Center, Tokyo, Japan.
Toshiyuki YonedaDepartment of Biochemistry, Osaka University Graduate School of Dentistry, Osaka, Japan.
Sakae TanakaDepartment of Orthopaedic Surgery, The University of Tokyo, Tokyo, Japan.
Takeshi OhiraClinical Development Department, Daiichi Sankyo Co Ltd, Tokyo, Japan.
Takaya NittaClinical Development Department, Daiichi Sankyo Co Ltd, Tokyo, Japan.
Naoki OkuboData Intelligence Department, Daiichi Sankyo Co Ltd, Tokyo, Japan.
Harry GenantDepartments of Radiology, University of California San Francisco, California, USA.
Desirée van der HeijdeDepartment of Rheumatology, Leiden University Medical Center, Leiden, Netherlands.ORCID 0000-0002-5781-158X
Tsutomu TakeuchiDivision of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Daiichi-Sankyo (Japan) · JPKeio University · JPKindai University · JPLeiden University Medical Center · NLNagoya University · JPSanno Medical Center · JPThe University of Osaka · JPUniversity of California, San Francisco · USUniversity of Occupational and Environmental Health Japan · JPUniversity of Tokyo Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo clarify which rheumatoid arthritis (RA) patients benefit most from the anti-receptor activator of nuclear factor-κB ligand antibody denosumab to reduce the progression of joint destruction.

methodsWe pooled patient data from the 12-month, double-blind, placebo-controlled DRIVE (phase II) and DESIRABLE (phase III) studies. In DRIVE, concomitant treatment was limited to methotrexate, salazosulfapyridine and bucillamine. In DESIRABLE, patients could receive any disease-modifying antirheumatic drug. RA patients were randomised to denosumab 60 mg every 6 months (Q6M), every 3 months (Q3M) or placebo. Efficacy was assessed by van der Heijde-modified total Sharp score (mTSS), bone erosion score (ES) and joint space narrowing score (JSNS). Change in mTSS was assessed in subgroups stratified by risk factors for radiographic damage if the interaction factor was significant.

resultsThe pooled analysis included 909 patients. Denosumab reduced worsening of mTSS (mean (SD)) at 12 months in the Q6M (0.88 (3.30), p=0.0024) and Q3M (0.66 (2.16), p=0.0002) groups versus placebo (1.50 (3.73)). This reduction in mTSS progression was due to the change in ES (Q6M, 0.44 (1.89), p=0.0006; Q3M, 0.20 (0.86), p<0.0001) versus placebo (0.98 (2.54)); no effect was observed on JSNS. Anti-cyclic citrullinated peptide (CCP) antibodies, glucocorticoid use and baseline ES showed a significant interaction. Denosumab was particularly effective in patients who were anti-CCP antibody positive (p<0.05). Changes in mTSS versus placebo were observed in all denosumab dose groups, regardless of glucocorticoid use and baseline ES.

conclusionsDenosumab broadly reduced the progression of joint destruction in RA patients with risk factors for radiographic damage such as especially anti-CCP antibody positivity.

Indexed as

AdultAgedAntirheumatic AgentsArthritis, RheumatoidBone Density Conservation AgentsClinical Decision-MakingDenosumabDisease ManagementFemaleHumansMaleMiddle AgedMolecular Targeted TherapyPatient SelectionRANK LigandTreatment OutcomeAntirheumatic AgentsBone Density Conservation AgentsDenosumabRANK LigandTNFSF11 protein, humanDMARDs (biologic)Rheumatoid ArthritisTreatment

Identifiers

PMID32732353
PMCPMC7722273
OpenAlexW3046207430

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.