Evidence map›Paper›PMID 36467901›Full record

ArticleRheumatology and immunology research2021

2018 Chinese Guidelines for the Diagnosis and Treatment of Rheumatoid Arthritis.

Xinping Tian, Qian Wang, Mengtao Li, Yan Zhao, Zhiyi Zhang, Cibo Huang, Yi Liu, Huji Xu, Yaolong Chen, Lijun Wu and 9 more

Open access · diamondAbstract read
In one paragraph

Article in Rheumatology and immunology research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Guideline
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  6. [Puerarin alleviates rheumatoid arthritis in rats by modulating TAK1-mediated TLR4/NF-κB signaling pathway].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
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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

19 authors at 14 institutions in 1 country.

Xinping TianDepartment of Rheumatology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Chinese Rheumatism Data Center (CRDC), Chinese SLE Treatment and Research Group (CSTAR), Beijing, China.
Qian WangDepartment of Rheumatology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Chinese Rheumatism Data Center (CRDC), Chinese SLE Treatment and Research Group (CSTAR), Beijing, China.
Mengtao LiDepartment of Rheumatology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Chinese Rheumatism Data Center (CRDC), Chinese SLE Treatment and Research Group (CSTAR), Beijing, China.
Yan ZhaoDepartment of Rheumatology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Chinese Rheumatism Data Center (CRDC), Chinese SLE Treatment and Research Group (CSTAR), Beijing, China.
Zhiyi ZhangDepartment of Rheumatology, the First Affiliated Hospital Affiliated to Harbin Medical University, Harbin, Heilongjiang Province, China.
Cibo HuangDepartment of Rheumatology, Beijing Hospital, Beijing, China.
Yi LiuDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Huji XuDepartment of Rheumatology and Immunology, Shanghai Changzheng Hospital, the Second Military Medical University, Shanghai, China.
Yaolong ChenInstitute of Health Data Science, Lanzhou University, Chinese GRADE Center, Lanzhou, Gansu Province, China.
Lijun WuDepartment of Rheumatology, Xinjiang Uygur Autonomous Region People's Hospital, Urumuqi, Xinjiang Uygur Autonomous Region, China.
Yin SuDepartment of Rheumatology, Peking University People's Hospital, Beijing, China.
Weiguo XiaoDepartment of Rheumatology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
Miaojia ZhangDepartment of Rheumatology, The First Affiliated Hospital with Nanjing Medical University. Nanjing, JiangSu Province, China.
Dongbao ZhaoDepartment of Rheumatology and Immunology, Changhai Hospital, The Second Military Medical University/Naval Medical University, Shanghai, China.
Linyun SunDepartment of Rheumatology, Nanjing Drum Tower Hospital of Nanjing University Medical School.
Xiaoxia ZuoDepartment of Rheumatology and Immunology, Xiangya Hospital of Central South University, Rheumatic Diseases Research Center of Hunan Province, Changsha, China.
Junqiang LeiDepartment of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu Province, China.
Xiaofeng LiDepartment of Rheumatology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Chinese Rheumatism Data Center (CRDC), Chinese SLE Treatment and Research Group (CSTAR), Beijing, China.
Xiaofeng ZengDepartment of Rheumatology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Chinese Rheumatism Data Center (CRDC), Chinese SLE Treatment and Research Group (CSTAR), Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNLanzhou University · CNPeking Union Medical College Hospital · CNBeijing Hospital · CNCentral South University · CNChina Medical University · CNFirst Affiliated Hospital of Harbin Medical University · CNNanjing Drum Tower Hospital · CNNanjing Medical University · CNPeking University People's Hospital · CNPeople's Hospital of Xinjiang Uygur Autonomous Region · CNSecond Military Medical University · CNShanghai Changzheng Hospital · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A multidisciplinary guideline development group was established to formulate this evidence-based diagnosis and treatment guidelines for rheumatoid arthritis (RA) in China. The grading of recommendations, assessment, development, and evaluation (GRADE) system was used to rate the quality of the evidence and the strength of recommendations, which were derived from research articles and guided by the analysis of the benefits and harms as well as patients' values and preferences. A total of 10 recommendations for the diagnosis and treatment of RA were developed. This new guideline covered the classification criteria, disease activity assessment and monitoring, and the role of disease modifying antirheumatic drugs (DMARDs), biologics, small molecule synthetic targeting drugs, and glucocorticoids in the treat-to-target approach of RA. This guideline is intended to serve as a tool for clinicians and patients to implement decision-making strategies and improve the practices of RA management in China.

Indexed as

arthritisdiagnosisguidelinerheumatoidtherapy

Identifiers

PMID36467901
PMCPMC9524773
OpenAlexW3156637062

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.