Evidence map›Paper›PMID 41366983›Full record

ArticleMedicine2025

Causality between rheumatic diseases and iron-deficiency anemia: A 2-sample, 2-step mediation Mendelian randomization investigation.

Wei Huang, Luyao Lv, Yaqi Zhang, Tianyu Jin, Yifan Cheng, Linyu Geng, Xuebing Feng

Abstract read
In one paragraph

Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Wei HuangDepartment of Rheumatology and Immunology, Drum Tower Clinical Medical College, Nanjing Medical University, Nanjing, Jiangsu, China.
Luyao LvDepartment of Rheumatology and Immunology, Drum Tower Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Yaqi ZhangDepartment of Rheumatology and Immunology, Drum Tower Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Tianyu JinDepartment of Rehabilitation Medicine, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Yifan ChengCenter for Rehabilitation Medicine, Department of Neurology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Linyu GengDepartment of Rheumatology and Immunology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, Jiangsu, China.
Xuebing FengDepartment of Rheumatology and Immunology, Drum Tower Clinical Medical College, Nanjing Medical University, Nanjing, Jiangsu, China.ORCID 0009-0008-7877-5814

Funding

Key Program of National Natural Science Foundation of China 82330055, 81930043Nanjing Drum Tower Hospital Clinical Research Special Funds 2022-LCYJ-MS-04Zhejiang Provincial Nature Science Foundation of China LGF20H170006
6 · The paper itself

Abstract

Growing evidence suggests that patients with rheumatic disease are associated with iron-deficiency anemia (IDA). However, the causal relationship between rheumatic disease and IDA risk remains unclear. To investigate this, we conducted a Mendelian randomization (MR) study using genetic variants from the large genome-wide association studies. In this study, we primarily investigated common rheumatic diseases, which include rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), Sjogren syndrome (SS), systemic sclerosis (SSc) as exposures, with IDA as the outcome and iron status as the mediator. We extracted significant and independent single-nucleotide polymorphisms from the large European genome-wide association studies for each trait: RA (5427 cases and 479,171 controls), SLE (5201 cases and 9066 controls), SS (1290 cases and 213,145 controls) and SSc (302 cases and 213,145 controls). Outcomes comprised IDA (2941 cases and 481,657 controls) and 4 iron status biomarkers (serum iron, ferritin, transferrin, transferrin saturation; n = 48,972) to serve as instrumental variables. In the MR analysis, we primarily used the inverse-variance weighting method, supplemented by weighted-median and MR-Egger methods. Additionally, a series of sensitivity analyses were conducted to test the stability of the MR analysis. We identified 10 single-nucleotide polymorphisms for RA, 41 for SLE, 3 for SS, and 7 for SSc as instrumental variables. Univariate bidirectional MR analysis suggests that RA increases IDA risk (OR = 1.058, 95% CI: 1.024-1.094, P <.01). However, we found no significant genetic effect for SLE, SS, or SSc. In 2-step MR analysis, multivariate MR (MVMR) indicates that RA and ferritin independently affect IDA risk (RA: OR = 1.073, 95% CI: 1.005-1.146, P = .03; ferritin: OR = 0.997, 95% CI: 0.995-0.999, P <.01). Additionally, the mediation MR analysis suggested that ferritin partially mediated this effect. Our findings initially provide strong genetic evidence for the association between RA and an increased risk of IDA, with ferritin partially mediating this effect. However, no such association was found between SLE, SS, SSc and IDA. These results could inform the development of preventive strategies and interventions for rheumatic diseases and IDA.

Indexed as

Anemia, Iron-DeficiencyRheumatic DiseasesBiomarkersFemaleFerritinsGenome-Wide Association StudyHumansIronMaleMendelian Randomization AnalysisPolymorphism, Single NucleotideBiomarkersFerritinsIroniron-deficiency anemiairon statusMendelian randomizationrheumatic diseasessingle-nucleotide polymorphisms

Identifiers

PMID41366983
PMCPMC12688711

What Socratic holds

Textmetadata
LicenceCC BY
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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.