Evidence map›Paper›PMID 21151459›Full record

ReviewInternational journal of molecular sciences2010

Biomarker analysis of stored blood products: emphasis on pre-analytical issues.

Julien Delobel, Olivier Rubin, Michel Prudent, David Crettaz, Jean-Daniel Tissot, Niels Lion

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Whole transcriptome analysis of platelet concentrates during storage.Blood transfusion = Trasfusione del sangue · 2023
    Article
  4. Article
  5. Article
  6. Review
  7. Developments in label-free microfluidic methods for single-cell analysis and sorting.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2019
    Review
  8. Article
  9. Article
  10. Article
  11. 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

6 authors.

Julien DelobelService Régional Vaudois de Transfusion Sanguine, route de la Corniche 2, CH-1066 Epalinges, Switzerland; E-Mails: julien.delobel@mavietonsang.ch (J.D.); olivier.rubin@mavietonsang.ch (O.R.); michel.prudent@mavietonsang.ch (M.P.); david.crettaz@mavietonsang.ch (D.C.); niels.lion@mavietonsang.ch (N.L.).
Olivier Rubin
Michel Prudent
David Crettaz
Jean-Daniel Tissot
Niels Lion

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Millions of blood products are transfused every year; many lives are thus directly concerned by transfusion. The three main labile blood products used in transfusion are erythrocyte concentrates, platelet concentrates and fresh frozen plasma. Each of these products has to be stored according to its particular components. However, during storage, modifications or degradation of those components may occur, and are known as storage lesions. Thus, biomarker discovery of in vivo blood aging as well as in vitro labile blood products storage lesions is of high interest for the transfusion medicine community. Pre-analytical issues are of major importance in analyzing the various blood products during storage conditions as well as according to various protocols that are currently used in blood banks for their preparations. This paper will review key elements that have to be taken into account in the context of proteomic-based biomarker discovery applied to blood banking.

Indexed as

BiomarkersBlood Chemical AnalysisBlood PreservationBlood Specimen CollectionHumansProteomicsBiomarkersaging and storage lesionsbiomarkerslabile blood productspre-analyticsproteomics

Identifiers

PMID21151459
PMCPMC3000103

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.