Evidence map›Paper›PMID 32922758›Full record

ArticleBone & joint research2020

Promising targets and drugs in rheumatoid arthritis: a module-based and cumulatively scoring approach.

Xingyan Li, Yejing Yang, Guili Sun, Wanwu Dai, Xuri Jie, Yongjun Du, Runjie Huang, Jiaming Zhang

Abstract read
In one paragraph

Article in Bone & joint research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Pharmaceuticals (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

8 authors.

Xingyan LiDepartment of Bone and Joint Surgery, The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yejing YangDepartment of Bone and Joint Surgery, The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Guili SunDepartment of Nutriology, The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Wanwu DaiDepartment of Bone and Joint Surgery, The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xuri JieDepartment of Hematology, The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yongjun DuDepartment of Bone and Joint Surgery, The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Runjie HuangSecond Clinical College, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jiaming ZhangDepartment of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsRheumatoid arthritis (RA) is a systematic autoimmune disorder, characterized by synovial inflammation, bone and cartilage destruction, and disease involvement in multiple organs. Although numerous drugs are employed in RA treatment, some respond little and suffer from severe side effects. This study aimed to screen the candidate therapeutic targets and promising drugs in a novel method.

methodsWe developed a module-based and cumulatively scoring approach that is a deeper-layer application of weighted gene co-expression network (WGCNA) and connectivity map (CMap) based on the high-throughput datasets.

resultsFour noteworthy RA-related modules were identified, revealing the immune- and infection-related biological processes and pathways involved in RA.

conclusionThis study provides not only the promising targets and drugs for RA but also a novel methodological insight into the target and drug screening.Cite this article:

Indexed as

Drug screeningRheumatoid arthritisTargetWeighted gene co-expression network

Identifiers

PMID32922758
PMCPMC7468554

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.