Evidence map›Paper›PMID 26182077›Full record

ArticlePloS one2015

Reassessment of Iron Biomarkers for Prediction of Dialysis Iron Overload: An MRI Study.

Guy Rostoker, Mireille Griuncelli, Christelle Loridon, Théophile Magna, Gabrielle Machado, Gilles Drahi, Hervé Dahan, Philippe Janklewicz, Yves Cohen

Open access · goldAbstract readAddress
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 61 citations in OpenAlex.

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  5. Characteristics of T cell premature senescence in maintenance hemodialysis patients.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
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  20. Association between serum ferritin and mortality: findings from the USA, Japan and European Dialysis Outcomes and Practice Patterns Study.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2018
    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

9 authors at 1 institution in 1 country.

Guy RostokerDivision of Nephrology and Dialysis, Ramsay Générale de Santé, Hôpital Privé Claude Galien, Quincy sous Sénart, France.
Mireille GriuncelliDivision of Nephrology and Dialysis, Ramsay Générale de Santé, Hôpital Privé Claude Galien, Quincy sous Sénart, France.
Christelle LoridonDivision of Nephrology and Dialysis, Ramsay Générale de Santé, Hôpital Privé Claude Galien, Quincy sous Sénart, France.
Théophile MagnaDivision of Nephrology and Dialysis, Ramsay Générale de Santé, Hôpital Privé Claude Galien, Quincy sous Sénart, France.
Gabrielle MachadoDepartment of Biochemistry, Ramsay Générale de Santé, Hôpital Privé Claude Galien, Quincy sous Sénart, France.
Gilles DrahiDivision of Radiology, Ramsay Générale de Santé, Hôpital Privé Claude Galien, Quincy sous Sénart, France.
Hervé DahanDivision of Radiology, Ramsay Générale de Santé, Hôpital Privé Claude Galien, Quincy sous Sénart, France.
Philippe JanklewiczDivision of Radiology, Ramsay Générale de Santé, Hôpital Privé Claude Galien, Quincy sous Sénart, France.
Yves CohenDivision of Radiology, Ramsay Générale de Santé, Hôpital Privé Claude Galien, Quincy sous Sénart, France.
Générale de Santé · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesIron overload among hemodialysis patients was previously considered rare but is now an increasingly recognized clinical situation. We analyzed correlations between iron biomarkers and the liver iron concentration (LIC) measured by magnetic resonance imaging (MRI), and examined their diagnostic accuracy for iron overload. DESIGN, SETTING, PARTICIPANTS AND MEASUREMENTS: We performed a prospective cross-sectional study from 31 January 2005 to 31 August 2013 in the dialysis centre of a French community-based private hospital. A cohort of 212 hemodialysis patients free of overt inflammation or malnutrition, were treated for anemia with parenteral iron-sucrose and an erythropoesis-stimulating agent, in keeping with current clinical guidelines. Blinded measurements of hepatic iron stores were performed by T1 and T2* contrast MRI, and relationships were analysed using Spearman's coefficient, logistic regression and receiver-operator characteristic (ROC) curves.

resultsAmong the biological markers, only serum ferritin showed a strong correlation with LIC (rho= 0.52, 95% CI: 0.41-0.61, p< 0.0001, Spearman test). In logistic analysis, only serum ferritin correctly classified the overall cohort into patients with normal liver iron stores (LIC ≤ 50 μmol/g) and those with elevated liver iron stores (LIC > 50 μmol/g) (odds ratio 1.007; 95% CI: 1.004-1.010). Serum ferritin was the iron biomarker with the best discriminatory capacity in ROC curves analysis (area under the curve (AUC) = 0.767; 95% CI: 0.698-0.835). The optimal serum ferritin cutoffs were 160 μg/L for LIC > 50 μmol/g (mild iron overload) and 290 μg/L for LIC > 200 μmol/g (severe iron overload).

conclusionsFor clinical purposes, serum ferritin correctly reflects liver iron stores, as assessed by MRI, in hemodialysis patients without overt inflammation or malnutrition. These results strongly suggest that current ferritin target values should be lowered to avoid iron overload.

trial registrationISRCTN Registry 80100088.

Indexed as

AdultAgedAged, 80 and overArea Under CurveBiomarkersCross-Sectional StudiesFemaleFerritinsHumansIronIron OverloadLiverLogistic ModelsMagnetic Resonance ImagingMaleMiddle AgedBiomarkersFerritinsIron

Identifiers

PMID26182077
PMCPMC4504469
OpenAlexW2209943919

What OpenQuestion holds

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LicenceCC BY
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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.