Evidence map›Paper›PMID 32931417›Full record

ArticleBlood transfusion = Trasfusione del sangue2020

Preliminary assessment of the new Sysmex XN parameter Iron-Def for identifying iron deficiency.

Vincenzo Roccaforte, Massimo Daves, Giuseppe Lippi, Andrea Piccin, Flavia Sciarini, Vanessa Proserpio, Claudio Bonato

Open access · greenAbstract read
In one paragraph

Article in Blood transfusion = Trasfusione del sangue, 2020. 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, top 88% of its field
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

1 citing paper in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Vincenzo RoccaforteClinical Pathology Laboratory, Hospital Alessandro Manzoni, Lecco, Italy.
Massimo DavesClinical Biochemical Laboratory, Hospital of Bolzano, Bolzano, Italy.
Giuseppe LippiSection of Clinical Biochemistry, University of Verona, Verona, Italy.
Andrea PiccinHaematology Department, Children's Health Ireland, Dublin, Ireland.
Flavia SciariniClinical Pathology Laboratory, Hospital Alessandro Manzoni, Lecco, Italy.
Vanessa ProserpioClinical Pathology Laboratory, Hospital Alessandro Manzoni, Lecco, Italy.
Claudio BonatoClinical Pathology Laboratory, Hospital Alessandro Manzoni, Lecco, Italy.
Alessandro Manzoni Hospital · ITOspedale di Bolzano · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the clinical assessment of iron status is usually based on iron stores, a rapid and accurate diagnosis of iron deficiency is challenging since ferritin is often unavailable as an urgent test and its value is frequently increased in acute phase conditions. This study was therefore aimed at evaluating the diagnostic performance of the new Sysmex XN "Iron Deficiency?" (Iron-Def) parameter for identifying patients with iron deficiency. MATERIALS AND

methodsThe study population consisted of 688 consecutive patients (median age: 71 years; 341 women and 347 men), referred for routine diagnostics to the Laboratory of Clinical Pathology of Lecco Hospital, Italy. A complete clinical chemistry profile and haematological testing were performed for identifying iron deficiency anaemia.

resultsA significant negative correlation was found between Sysmex XN Iron-Def and ferritin, serum iron, mean cell haemoglobin concentration, mean cell haemoglobin, mean corpuscular volume and age, while a positive correlation was noted with transferrin, percentage of microcytic red cell, red blood cell count and red blood cell distribution width. The diagnostic accuracy of Iron-Def for identifying patients with a percentage of saturation of transferrin <15% (n=104) was 84%, with a sensitivity of 0.952 and specificity of 0.538. A sub-analysis of 71 patients with ferritin <20 ng/dL yielded an even better diagnostic performance (86%, with a sensitivity of 0.935 and specificity of 0.620). DISCUSSION: Although additional confirmatory investigations would be needed, the preliminary findings of our study attest that Iron-Def may be an easy, inexpensive, rapid and reliable parameter for screening iron deficiency anaemia.

Indexed as

AgedAged, 80 and overAnemia, Iron-DeficiencyErythrocyte IndicesFemaleFerritinsHemoglobinsHumansIronIron DeficienciesItalyMaleMiddle AgedTransferrinFerritinsHemoglobinsIronTransferrin

Identifiers

PMID32931417
PMCPMC7592168
OpenAlexW3087422789

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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.