Evidence map›Paper›PMID 37996129›Full record

ArticleRMD open2023

Development and external validation of a prediction model for venous thromboembolism in systemic lupus erythematosus.

Hanxiao You, Jiuliang Zhao, Miaojia Zhang, Ziyi Jin, Xuebing Feng, Wenfeng Tan, Lijun Wu, Xinwang Duan, Hui Luo, Cheng Zhao and 15 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in RMD open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  9. Quantifying Lupus Anticoagulant Interference in Intrinsic Coagulation Factor Activity Assays and Evaluating the Corrective Performance of the SCT-Based Method.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 13 institutions in 1 country.

Hanxiao You *Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China.ORCID 0000-0001-6998-5934
Jiuliang Zhao *Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China.
Miaojia Zhang *Department of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Ziyi JinDepartment of Rheumatology and Immunology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.
Xuebing FengDepartment of Rheumatology and Immunology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.
Wenfeng TanDepartment of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Lijun WuDepartment of Rheumatology, People Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Xinwang DuanDepartment of Rheumatology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Hui LuoDepartment of Rheumatology, Xiangya Hospital, Central South University, Changsha, China.
Cheng ZhaoDepartment of Rheumatology and Clinical Immunology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Feng ZhanDepartment of Rheumatology, Hainan General Hospital, Haikou, China.
Zhenbiao WuDepartment of Clinical Immunology and Rheumatology, Xijing Hospital Affiliated to the Fourth Military Medical University, Xi'an, China.
Hongbin LiDepartment of Rheumatology, Affiliated Hospital of Inner Mongolia Medical College, Hohhot, China.
Min YangDepartment of Rheumatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jian XuDepartment of Rheumatology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Wei WeiDepartment of Rheumatology, Tianjin Medical University General Hospital, Tianjin, China.
Yanhong WangDepartment of Epidemiology and Bio-statistics, Institute of Basic Medical Sciences, China Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Juhong ShiDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Jingge QuDepartment of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China.
Qian WangDepartment of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China.
Xiaomei LengDepartment of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China.
Xinping TianDepartment of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China.ORCID 0000-0002-1511-7952
Yan ZhaoDepartment of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China.
Mengtao LiDepartment of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China mengtao.li@cstar.org.cn.ORCID 0000-0003-4252-2889
Xiaofeng ZengDepartment of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNJiangsu Province Hospital · CNNanjing Drum Tower Hospital · CNCentral South University · CNGuangxi Medical University · CNHainan General Hospital · CNInner Mongolia Medical College Hospital · CNKunming Medical University · CNNanchang University · CNNanfang Hospital · CNPeople's Hospital of Xinjiang Uygur Autonomous Region · CNTianjin Medical University General Hospital · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePatients with systemic lupus erythematosus (SLE) have an increased risk of venous thromboembolism (VTE). We conducted this study to develop a risk score algorithm for VTE in patients with SLE that provides individualised risk estimates.

methodsWe developed a clinical prediction model of VTE in 4502 patients with SLE based on the Chinese SLE Treatment and Research group cohort (CSTAR) from January 2009 to January 2020 and externally validated in 3780 patients with SLE in CSTAR from January 2020 to January 2022. Baseline data were obtained and VTE events were recorded during the follow-up. The prediction model was developed to predict VTE risk within 6 months in patients with SLE, using multivariate logistic regression and least absolute shrinkage and selection operator. SLE-VTE score and nomogram were established according to the model.

resultsA total of 4502 patients included in the development cohort, 135 had VTE events. The final prediction model (SLE-VTE score) included 11 variables: gender, age, body mass index, hyperlipidaemia, hypoalbuminaemia, C reactive protein, anti-β2GPI antibodies, lupus anticoagulant, renal involvement, nervous system involvement and hydroxychloroquine, with area under the curve of 0.947 and 0.808 in the development (n=4502) and external validation cohort (n=3780), respectively. According to the net benefit and predicted probability thresholds, we recommend annual screening of VTE in high risk (≥1.03%) patients with SLE.

conclusionVarious factors are related to the occurrence of VTE in patients with SLE. The proposed SLE-VTE risk score can accurately predict the risk of VTE and help identify patients with SLE with a high risk of VTE who may benefit from thromboprophylaxis.

Indexed as

Lupus Erythematosus, SystemicVenous ThromboembolismVenous ThrombosisAnticoagulantsHumansModels, StatisticalPrognosisAnticoagulantsAntiphospholipid SyndromeLupus Erythematosus, SystemicMachine LearningSystemic Lupus ErythematosusThrombosis

Identifiers

PMID37996129
PMCPMC10668231
OpenAlexW4388947816

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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.