Evidence map›Paper›PMID 32264967›Full record

ArticleArthritis research & therapy2020

Associated factors of poor treatment outcomes in patients with giant cell arteritis: clinical implication of large vessel lesions.

Takahiko Sugihara, Hitoshi Hasegawa, Haruhito A Uchida, Hajime Yoshifuji, Yoshiko Watanabe, Eisuke Amiya, Yasuhiro Maejima, Masanori Konishi, Yohko Murakawa, Noriyoshi Ogawa and 12 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Arthritis research & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
4.8field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Treatment failure in giant cell arteritis.Annals of the rheumatic diseases · 2021
    Trial
  5. Article
  6. Observational
  7. Review
  8. Article
  9. Article
  10. Plasma proteome profiling in giant cell arteritis.Annals of the rheumatic diseases · 2024
    Article
  11. Multi-Modality Imaging in Vasculitis.Diagnostics (Basel, Switzerland) · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Looking ahead: giant-cell arteritis in 10 years time.Therapeutic advances in musculoskeletal disease · 2022
    Review
  20. 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

22 authors at 17 institutions in 1 country.

Takahiko SugiharaDepartment of Lifetime Clinical Immunology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan. sugihara.lci@tmd.ac.jp.
Hitoshi HasegawaDepartment of Hematology, Clinical Immunology and Infectious Diseases, Ehime University Graduate School of Medicine, Matsuyama, Ehime, Japan.
Haruhito A UchidaDepartment of Chronic Kidney Disease and Cardiovascular Disease, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
Hajime YoshifujiDepartment of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yoshiko WatanabeFirst Department of Physiology, Kawasaki Medical School, Kurashiki, Japan.
Eisuke AmiyaDepartment of Cardiovascular Medicine, Graduate School of Medicine, Department of Therapeutic Strategy for Heart Failure, The University of Tokyo, Tokyo, Japan.
Yasuhiro MaejimaDepartment of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Masanori KonishiDepartment of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Yohko MurakawaDepartment of Rheumatology, Shimane University Faculty of Medicine, Izumo, Japan.
Noriyoshi OgawaDepartment of Internal Medicine 3, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Shunsuke FurutaDepartment of Allergy and Clinical Immunology, Chiba University Hospital, Chiba, Japan.
Yasuhiro KatsumataDepartment of Rheumatology, Tokyo Women's Medical University School of Medicine, Tokyo, Japan.
Yoshinori KomagataDepartment of Nephrology and Rheumatology, Kyorin University School of Medicine, Tokyo, Japan.
Taio NaniwaDivision of Rheumatology, Department of Internal Medicine, Nagoya City University Hospital, Nagoya, Japan.
Takahiro OkazakiDivision of Rheumatology & Allergology, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki, Japan.
Yoshiya TanakaThe First Department of Internal Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Tsutomu TakeuchiDivision of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Yoshikazu NakaokaDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Yoshihiro ArimuraDepartment of Nephrology and Rheumatology, Kyorin University School of Medicine, Tokyo, Japan.
Masayoshi HarigaiDepartment of Rheumatology, Tokyo Women's Medical University School of Medicine, Tokyo, Japan.
Mitsuaki IsobeDepartment of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Japan Research Committee of the Ministry of Health, Labour, and Welfare for Intractable Vasculitis (JPVAS)
Tokyo Medical and Dental University · JPKyorin University · JPTokyo Women's Medical University · JPChiba University Hospital · JPEhime University · JPHamamatsu University School of Medicine · JPKawasaki Medical School · JPKeio University · JPKyoto University · JPNagoya City University Hospital · JPNational Cerebral and Cardiovascular Center · JPNational Hospital Organization · JPOkayama University · JPSakakibara Hospital · JPShimane University · JPThe University of Tokyo · JPUniversity of Occupational and Environmental Health Japan · JP

Funding

Japan Agency for Medical Research and Development JP17ek0109121Ministry of Health, Labour and Welfare H29-nanchitou (nan)-ippan-018
6 · The paper itself

Abstract

backgroundRelapses frequently occur in giant cell arteritis (GCA), and long-term glucocorticoid therapy is required. The identification of associated factors with poor treatment outcomes is important to decide the treatment algorithm of GCA.

methodsWe enrolled 139 newly diagnosed GCA patients treated with glucocorticoids between 2007 and 2014 in a retrospective, multi-center registry. Patients were diagnosed with temporal artery biopsy, 1990 American College of Rheumatology classification criteria, or large vessel lesions (LVLs) detected by imaging based on the modified classification criteria. Poor treatment outcomes (non-achievement of clinical remission by week 24 or relapse during 52 weeks) were evaluated. Clinical remission was defined as the absence of clinical signs and symptoms in cranial and large vessel areas, polymyalgia rheumatica (PMR), and elevation of C-reactive protein (CRP) levels. A patient was determined to have a relapse if he/she had either one of the signs and symptoms that newly appeared or worsened after achieving clinical remission. Re-elevation of CRP without clinical manifestations was considered as a relapse if other causes such as infection were excluded and the treatment was intensified. Associated factors with poor treatment outcomes were analyzed by using the Cox proportional hazard model.

resultsCranial lesions, PMR, and LVLs were detected in 77.7%, 41.7%, and 52.5% of the enrolled patients, respectively. Treatment outcomes were evaluated in 119 newly diagnosed patients who were observed for 24 weeks or longer. The mean initial dose of prednisolone was 0.76 mg/kg/day, and 29.4% received any concomitant immunosuppressive drugs at baseline. Overall, 41 (34.5%) of the 119 patients had poor treatment outcomes; 13 did not achieve clinical remission by week 24, and 28 had a relapse after achieving clinical remission. Cumulative rates of the events of poor treatment outcomes in patients with and without LVLs were 47.5% and 17.7%, respectively. A multivariable model showed the presence of LVLs at baseline was significantly associated with poor treatment outcomes (adjusted hazard ratio [HR] 3.54, 95% CI 1.52-8.24, p = 0.003). Cranial lesions and PMR did not increase the risk of poor treatment outcomes.

conclusionThe initial treatment intensity in the treatment algorithm of GCA could be determined based upon the presence or absence of LVLs detected by imaging at baseline.

Indexed as

AdultAgedAged, 80 and overC-Reactive ProteinFemaleGiant Cell ArteritisGlucocorticoidsHumansMaleMiddle AgedMultivariate AnalysisOutcome Assessment, Health CareProportional Hazards ModelsRecurrenceRemission InductionRetrospective StudiesC-Reactive ProteinGlucocorticoidsGiant cell arteritisGlucocorticoid therapyLarge vessel lesionsPoor treatment outcomesRelapseRemission

Identifiers

PMID32264967
PMCPMC7137303
OpenAlexW3014575578

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.