Evidence map›Paper›PMID 38806217›Full record

Observational studyLupus science & medicine2024

Combination of anti-SSA/Ro60 and anti-dsDNA serotype is predictive of belimumab renal response in patients with lupus nephritis.

Liling Zhao, Wenwen Wang, Lijun Wu, Tong Wu, Jianxin Tu, Xue Wu, Fangfang Sun, Huihua Ding, Nan Shen, Huaxiang Wu and 3 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Lupus science & medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

13 authors.

Liling Zhao *Department of Rheumatology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-0631-9162
Wenwen Wang *Department of Rheumatology, The Second Affiliated hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Lijun Wu *Department of Rheumatology&Immunology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.ORCID 0000-0002-6466-2770
Tong WuDepartment of Rheumatology and Immunology, Sichuan Provincial People's Hospital, School of Medicine, University Electronic Science and Technology of China, Chengdu, China.
Jianxin TuDepartment of Rheumatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Xue WuDepartment of Rheumatology&Immunology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Fangfang SunDepartment of Rheumatology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-2570-4576
Huihua DingDepartment of Rheumatology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Nan ShenDepartment of Rheumatology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-5875-4417
Huaxiang WuDepartment of Rheumatology, The Second Affiliated hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jing ZhuDepartment of Rheumatology and Immunology, Sichuan Provincial People's Hospital, School of Medicine, University Electronic Science and Technology of China, Chengdu, China ye_shuang2000@163.com grassandsun@126.com zhujingys@sina.com.
Li SunDepartment of Rheumatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China ye_shuang2000@163.com grassandsun@126.com zhujingys@sina.com.
Shuang YeDepartment of Rheumatology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China ye_shuang2000@163.com grassandsun@126.com zhujingys@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the effectiveness of belimumab on active lupus nephritis (LN) and explore the predictors, including serological biomarkers, of renal response to belimumab in a real-world setting.

methodsThis multicentre, real-world observational study enrolled patients with active LN receiving intravenous belimumab as an add-on therapy with 24-hour urine protein≥1 g and estimated glomerular filtration rate≥30 mL/min/1.73 m

resultsAmong the 122 patients enrolled, the proportions of patients achieving CRR, PRR, NRR and PERR were 35.9%, 17.1%, 47.0% and 44.4% at 6 months (n=117) and 55.6%, 19.4%, 26.4% and 58.3% at 12 months (n=72), respectively. Proteinuria, daily prednisone dosage and Systemic Lupus Erythematosus Disease Activity Index 2000 scores significantly decreased at 6 and 12 months (p<0.0001). NRR at 6 months (NRR6) was the strongest negative predictor of CRR at 12 months. Baseline anti-dsDNA positivity inversely predicted NRR6 (OR=0.32,95% CI=0.10 to 0.98, p=0.049), while anti-SSA/Ro60 positively predicted NRR6 (OR=3.16, 95% CI=1.14 to 8.74, p=0.027). The combination of anti-SSA/Ro60 and anti-dsDNA serotype quantitatively predicted belimumab renal response.

conclusionThe effectiveness of belimumab was reproducible in Chinese patients with active LN. The simple yet interesting serotype predictive model needs further validation and its possible underlying mechanistic relevance deserves further exploration.

Indexed as

Antibodies, AntinuclearAntibodies, Monoclonal, HumanizedGlomerular Filtration RateImmunosuppressive AgentsLupus NephritisAdultBiomarkersDNAFemaleHumansKidneyMaleMiddle AgedProteinuriaTreatment OutcomeYoung AdultAntibodies, AntinuclearAntibodies, Monoclonal, Humanizedanti-dsDNA autoantibodybelimumabBiomarkersDNAImmunosuppressive AgentsSS-A antibodiesAutoantibodiesLupus Erythematosus, SystemicLupus Nephritis

Identifiers

PMID38806217
PMCPMC11138273

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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.