Evidence map›Paper›PMID 41957839›Full record

ArticleBMC rheumatology2026

Non-specific ST-T abnormalities are associated with major adverse cardiovascular and cerebrovascular events (MACCE) in hospitalized systemic lupus erythematosus patients.

Chen Jie, Lu Shidie, Zhou Xiaoli

Abstract read
In one paragraph

Article in BMC rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Chen JieDepartment of Cardiovascular Medicine, Cardiovascular Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lu ShidieDepartment of Cardiovascular Medicine, Cardiovascular Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhou XiaoliDepartment of Cardiovascular Medicine, Cardiovascular Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. zhouxiaoli@hospital.cqmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to explore the prevalence of non-specific ST-segment and T-wave abnormalities (NSSTTA) in patients with SLE and evaluate the predictive value of NSSTTA indices for major adverse cardiovascular and cerebrovascular events (MACCE) in SLE patients.

methodsThis study retrospectively enrolled 395 hospitalized SLE patients and 420 controls from health examinations, during the period from January 1, 2014, to December 31, 2024. After propensity score matching (PSM), ECG indices were compared between the SLE group and the control group. Multivariable Cox regression analysis was used to assess the association between NSSTTA and MACCE.

resultsCompared with the control cohort, patients with SLE demonstrated significantly higher prevalence rates of NSSTTA (16.7% vs. 6.4%, p < 0.001). Multivariable Cox proportional hazards analysis further identified advancing age (HR = 1.027, 95% CI: 1.002-1.053, p = 0.033), comorbid interstitial lung disease (ILD, HR = 3.024, 95% CI: 1.477-6.193, p = 0.002), non-specific ST-T abnormalities (HR = 3.082, 95% CI: 1.209-7.853, p = 0.018), and elevated serum uric acid (HR = 1.004, 95% CI: 1.001-1.007, p = 0.021) as independent predictors for MACCE in the SLE cohort.

conclusionsNSSTTA are independently associated with adverse outcomes and facilitate cardiovascular risk stratification in patients with SLE.

Indexed as

Cardiovascular diseaseElectrocardiogramSystemic lupus erythematosus

Identifiers

PMID41957839
PMCPMC13179608

What Socratic 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 Socratic graph.