Evidence map›Paper›PMID 30943893›Full record

ArticleBMC cardiovascular disorders2019

Serum ferritin, an early marker of cardiovascular risk: a study in Chinese men of first-degree relatives with family history of type 2 diabetes.

Jun-Ru Liu, Yang Liu, Fu-Zai Yin, Bo-Wei Liu

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cardiovascular disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Review
  4. Article
  5. Associations between metabolic hyperferritinaemia, fibrosis-promoting alleles and clinical outcomes in steatotic liver disease.Liver international : official journal of the International Association for the Study of the Liver · 2024
    Article
  6. Review
  7. Serum Ferritin in Metabolic Syndrome-Mechanisms and Clinical Applications.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022
    Article
  8. Observational
  9. 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

4 authors at 1 institution in 1 country.

Jun-Ru LiuDepartment of Endocrinology, Qinhuangdao First Hospital, No.258 Wenhua Road, Qinhuangdao, 066000, Hebei Province, China.
Yang LiuDepartment of General Surgery, Qinhuangdao First Hospital, No.258 Wenhua Road, Qinhuangdao, 066000, Hebei Province, China.
Fu-Zai YinDepartment of Endocrinology, Qinhuangdao First Hospital, No.258 Wenhua Road, Qinhuangdao, 066000, Hebei Province, China.
Bo-Wei LiuDepartment of Endocrinology, Qinhuangdao First Hospital, No.258 Wenhua Road, Qinhuangdao, 066000, Hebei Province, China. liubo_wei@126.com.ORCID 0000-0002-4936-2358
First Hospital of Qinhuangdao · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFerritin is one of the key proteins that regulate iron homeostasis and is widely available clinical biomarker of iron status. This study aimed to discuss the influence of serum ferritin (SF) on cardiovascular risk factors in the first-degree relatives with family history of type 2 diabetes (FHD).

methodsThis cross-sectional study included 232 men. Anthropometric measurements and blood samples were analyzed. The people were divided into four groups according to median SF (102.8 ng/ml) and people with or without FHD. Group A (FHD-and low SF), group B (FHD-and high SF), group C (FHD+ and low SF), and group D (FHD+ and high SF).

resultsThe subjects in different categories of SF concentrations showed significant differences in BMI (SF main effect: P = 0.010), WC (P = 0.030), SBP (P < 0.001), FPG (P < 0.001), PPG-2 h (P < 0.001), FINS (P < 0.001), and HOMA-IR (P = 0.015; all: 2-way ANOVA). There was a significant difference in SBP (FHD main effect: P = 0.003), DBP (P = 0.006), and FINS (P = 0.013, all: 2-way ANOVA) between the groups with or without FHD. The interaction term between SF and FHD was significant for SBP (P = 0.011), DBP (P = 0.012), and PPG-2 h (P = 0.022). Logistic analysis showed that accumulation of CVD risk factors, which were ≥ 2 items and ≥ 3 items in group D were 7.546 and 3.343 times higher compared with group A (P < 0.05).

conclusionsThe increased SF levels increased the risk of cardiovascular risk factors and the occurrence of insulin resistance in first-degree relatives with FHD.

Indexed as

FamilyInsulin ResistanceAdultAsian PeopleBiomarkersCardiovascular DiseasesChinaDiabetes Mellitus, Type 2FerritinsGenetic Predisposition to DiseaseHeredityHumansMaleMetabolic SyndromeMiddle AgedPedigreeBiomarkersFerritinsCardiovascular risk factorsInsulin resistanceMetabolic syndromeSerum ferritinType 2 diabetes

Identifiers

PMID30943893
PMCPMC6448272
OpenAlexW2944173498

What OpenQuestion holds

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Registered trials

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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.