Evidence map›Paper›PMID 40888985›Full record

ArticleEuropean journal of epidemiology2025

Associations of serum iron and its status change with mortality risk: prospective findings from the MJ cohort.

Yunyun Liu, Chi Pang Wen, Junlong Pan, Jiameng Cui, Wanzhu Lu, Tong Sun, Xian Ning, June Han Lee, Wenyuan Li, Huakang Tu and 1 more

Abstract read
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Article in European journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

11 authors.

Yunyun Liu *Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Chi Pang Wen *Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Junlong PanCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Jiameng CuiCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Wanzhu LuCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Tong SunCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Xian NingCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China.
June Han LeeInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Wenyuan LiCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Huakang TuCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China. huakangtu@zju.edu.cn.
Xifeng WuCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China. xifengw@zju.edu.cn.ORCID http://orcid.org/0000-0003-2980-8129

Funding

healthy zhejiang one million people cohort K-20230085Key Research and Development Program of Zhejiang Province 2020C03002
6 · The paper itself

Abstract

Previous studies on serum iron levels and mortality risk have yielded inconsistent findings based on single-point measurements. How serum iron levels and their longitudinal changes influence all-cause and cause-specific mortality remains unknown. This study investigated associations between baseline serum iron levels, their longitudinal changes, and all-cause and cause-specific mortality in a prospective cohort. Participants were recruited from the Taiwan MJ cohort (1997-2007) and followed until December 31, 2022. Baseline serum iron was categorized as low, normal, or high. Based on changes at a second visit, participants were further classified as persistent normal, progression to abnormal, reversion to normal, or persistent abnormal. Cox proportional hazard models were used for analysis. Over a median follow-up of 19.0 years, 33,005 deaths occurred. Fully adjusted models demonstrated J-shaped associations between serum iron and all-cause and cause-specific mortality (all P < 0.001), with higher all-cause mortality risks in low (HR 1.27, 95% CI [1.23, 1.31]) and high iron groups (HR 1.37, 95% CI [1.30, 1.44]). Compared to persistent normal levels, those with progression to abnormal, reversion to normal, or persistent abnormal serum iron exhibited elevated mortality risks (HRs: 1.22 [1.15, 1.30], 1.16 [1.09, 1.24], 1.49 [1.36, 1.63], respectively). Moreover, maintaining normal serum iron status alongside a healthy lifestyle exhibited the lowest mortality risks. Long term abnormal serum iron status was linked to increased mortality, which could be mitigated through lifestyle modifications, suggesting significance of serum iron monitoring and potential intervention.

Indexed as

IronMortalityAdultAgedCause of DeathFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsTaiwanIronCohortJ-shapeLongitudinal changeMortalitySerum iron

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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.