Evidence map›Paper›PMID 32489126›Full record

Observational studyThe Journal of international medical research2020

Cytokine clusters as potential diagnostic markers of disease activity and renal involvement in systemic lupus erythematosus.

Joonhong Park, Woori Jang, Hye Sun Park, Ki Hyun Park, Seung-Ki Kwok, Sung-Hwan Park, Eun-Jee Oh

Abstract readObservational Study
In one paragraph

Observational study in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Application of Machine Learning Models in Systemic Lupus Erythematosus.International journal of molecular sciences · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. 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

7 authors.

Joonhong ParkDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-7354-4234
Woori JangDepartment of Laboratory Medicine, Inha University School of Medicine, Incheon, Korea.
Hye Sun ParkDepartment of Biomedical Science & Health Sciences, Graduate School, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Ki Hyun ParkDepartment of Biomedical Science & Health Sciences, Graduate School, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Seung-Ki KwokDivision of Rheumatology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Sung-Hwan ParkDivision of Rheumatology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Eun-Jee OhDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe interactions among cytokines and to identify subgroups of systemic lupus erythematosus (SLE) patients based on cytokine levels using principal component analysis and cluster analysis.

methodsLevels of 12 cytokines were measured using sensitive multiplex bead assays and associations with SLE features including disease activity and renal involvement were assessed.

resultsIn a group of 203 SLE patients, strong correlations were observed between interleukin (IL)6 and interferon (IFN)γ levels (r = 0.624), IL17 and IFNγ levels (r = 0.768), and macrophage inflammatory protein (MIP)1α and MIP1β levels (r = 0.675). Cluster analysis revealed two distinct patient groups characterized by high levels of IL8, MIP1α, and MIP1β (group 1) or of IL2, IL6, IL10, IL12, IFNγ, and tumor necrosis factor α (group 2). Active disease was more common in group 1 (49/88, 55.7%) than in group 2 (40/115, 34.8%). More patients in group 2 had renal involvement (42/115, 36.5%) than in group 1 (22/88, 25%).

conclusionsAssessment of cytokine profiles can identify distinct SLE patient subgroups and aid in understanding clinical heterogeneity and immunological phenotypes.

Indexed as

AdolescentAdultAgedBiomarkersChildCluster AnalysisCytokinesFemaleFollow-Up StudiesHumansLupus Erythematosus, SystemicLupus NephritisMaleMiddle AgedPrincipal Component AnalysisYoung AdultBiomarkersCytokinesCluster analysiscytokine profilesdisease activityprincipal component analysisrenal involvementsystemic lupus erythematosus

Identifiers

PMID32489126
PMCPMC7271280

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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.