Evidence map›Paper›PMID 37238593›Full record

ArticleBiomolecules2023

SVM-Based Model Combining Patients' Reported Outcomes and Lymphocyte Phenotypes of Depression in Systemic Lupus Erythematosus.

Chen Dong, Nengjie Yang, Rui Zhao, Ying Yang, Xixi Gu, Ting Fu, Chi Sun, Zhifeng Gu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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 at 1 institution in 1 country.

Chen DongDepartment of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong 226001, China.ORCID 0000-0003-4975-6426
Nengjie YangDepartment of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong 226001, China.
Rui ZhaoDepartment of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong 226001, China.
Ying YangDepartment of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong 226001, China.
Xixi GuDepartment of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong 226001, China.
Ting FuDepartment of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong 226001, China.
Chi SunDepartment of Geriatrics, Affiliated Hospital of Nantong University, Nantong University, Nantong 226001, China.
Zhifeng GuDepartment of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong 226001, China.
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of depression in patients with systemic lupus erythematosus (SLE) is high and leads to a lower quality of life than that in undepressed SLE patients and healthy individuals. The causes of SLE depression are still unclear.

methodsA total of 94 SLE patients were involved in this study. A series of questionnaires (Hospital Depression Scale, Social Support Rate Scale and so on) were applied. Flow cytometry was used to test the different stages and types of T cells and B cells in peripheral blood mononuclear cells. Univariate and multivariate analyses were conducted to explore the key contributors to depression in SLE. Support Vector Machine (SVM) learning was applied to form the prediction model.

resultsDepressed SLE patients showed lower objective support, severer fatigue, worse sleep quality and higher percentages of ASC%PBMC, ASC%CD19+, MAIT, TEM%Th, TEMRA%Th, CD45RA+CD27-Th, TEMRA%CD8 than non-depressed patients. A learning-based SVM model combining objective and patient-reported variables showed that fatigue, objective support, ASC%CD19+, TEM%Th and TEMRA%CD8 were the main contributing factors to depression in SLE. With the SVM model, the weight of TEM%Th was 0.17, which is the highest among objective variables, and the weight of fatigue was 0.137, which was the highest among variables of patients' reported outcomes.

conclusionsBoth patient-reported factors and immunological factors could be involved in the occurrence and development of depression in SLE. Scientists can explore the mechanism of depression in SLE or other psychological diseases from the above perspective.

Indexed as

DepressionLupus Erythematosus, SystemicFatigueHumansLeukocytes, MononuclearLymphocytesPhenotypeQuality of LifeSupport Vector Machinedepressionlogistic regression modellymphocyte phenotypepatients’ reported outcomesSVM modelsystemic lupus erythematosus

Identifiers

PMID37238593
PMCPMC10216744
OpenAlexW4366826479

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.