Evidence map›Paper›PMID 40061899›Full record

ArticleFrontiers in oncology2025

Association of ANA and SSA autoantibodies with progression-free survival in multiple myeloma: a retrospective cohort study.

Jiafeng Zhang, Hefei Ren, Lei Chen, Xin Wang, Huiquan Wang, Hongkun Wu, Lin Zhou

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

7 authors.

Jiafeng Zhang *Department of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Hefei Ren *Department of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Lei Chen *Department of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Xin Wang *Department of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Huiquan WangDepartment of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Hongkun WuDepartment of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Lin ZhouDepartment of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the relationship between autoantibodies, specifically Antinuclear Antibody (ANA) and anti-Sjögren's-syndrome-related antigen A (SSA), and progression-free survival (PFS) in multiple myeloma (MM) patients. Methods: A retrospective cohort study was conducted on 304 MM patients diagnosed between 2010 and 2020 at Shanghai Changzheng Hospital, with follow-up until October 2023. Patients were stratified based on ANA and SSA positivity. Clinical data were analyzed using Kaplan-Meier survival curves and Cox regression models, adjusting for key prognostic factors. Sensitivity analyses were performed using propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) to evaluate the robustness of the results. Results: SSA-positive patients exhibited significantly shorter PFS compared to SSA-negative patients (17 vs. 44 months, HR = 2.93, 95% CI 1.53-5.64, p = 0.001), while ANA positivity was associated with a smaller increase in risk (HR = 1.57, 95% CI 1.04-2.4, p = 0.034). The impact of SSA remained significant after adjusting for various covariates in the Cox regression model and sensitivity analyses. Subgroup analyses revealed consistent effects of SSA positivity across different demographic and clinical factors. Conclusion: SSA positivity is associated with a higher risk of disease progression in MM patients, suggesting it may serve as a valuable prognostic marker. The relationship between autoantibodies and MM prognosis warrants further investigation in larger, multicenter studies to elucidate the underlying mechanisms and inform clinical management.

Indexed as

ANA (antinuclear antibody)autoantibodiesmultiple myelomaprogression-free survivalpropensity score matching (PSM)SSA (Anti-Sjögren’s-syndrome-related Antigen A)

Identifiers

PMID40061899
PMCPMC11885117

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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.