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Laboratory sample stability. Is it possible to define a consensus stability function? An example of five blood magnitudes

Overview of attention for article published in Clinical Chemistry and Laboratory Medicine, May 2018
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  • High Attention Score compared to outputs of the same age and source (89th percentile)

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Title
Laboratory sample stability. Is it possible to define a consensus stability function? An example of five blood magnitudes
Published in
Clinical Chemistry and Laboratory Medicine, May 2018
DOI 10.1515/cclm-2017-1189
Pubmed ID
Authors

Rubén Gómez Rioja, Débora Martínez Espartosa, Marta Segovia, Mercedes Ibarz, María Antonia Llopis, Josep Miquel Bauça, Itziar Marzana, Nuria Barba, Monserrat Ventura, Isabel García del Pino, Juan José Puente, Andrea Caballero, Carolina Gómez, Ana García Álvarez, María Jesús Alsina, Virtudes Álvarez

Abstract

The stability limit of an analyte in a biological sample can be defined as the time required until a measured property acquires a bias higher than a defined specification. Many studies assessing stability and presenting recommendations of stability limits are available, but differences among them are frequent. The aim of this study was to classify and to grade a set of bibliographic studies on the stability of five common blood measurands and subsequently generate a consensus stability function. First, a bibliographic search was made for stability studies for five analytes in blood: alanine aminotransferase (ALT), glucose, phosphorus, potassium and prostate specific antigen (PSA). The quality of every study was evaluated using an in-house grading tool. Second, the different conditions of stability were uniformly defined and the percent deviation (PD%) over time for each analyte and condition were scattered while unifying studies with similar conditions. From the 37 articles considered as valid, up to 130 experiments were evaluated and 629 PD% data were included (106 for ALT, 180 for glucose, 113 for phosphorus, 145 for potassium and 85 for PSA). Consensus stability equations were established for glucose, potassium, phosphorus and PSA, but not for ALT. Time is the main variable affecting stability in medical laboratory samples. Bibliographic studies differ in recommedations of stability limits mainly because of different specifications for maximum allowable error. Definition of a consensus stability function in specific conditions can help laboratories define stability limits using their own quality specifications.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 13%
Other 7 10%
Student > Master 5 7%
Student > Bachelor 5 7%
Student > Postgraduate 4 6%
Other 11 16%
Unknown 26 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 19%
Medicine and Dentistry 11 16%
Engineering 4 6%
Unspecified 2 3%
Linguistics 1 1%
Other 6 9%
Unknown 30 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 January 2019.
All research outputs
#6,484,414
of 25,382,440 outputs
Outputs from Clinical Chemistry and Laboratory Medicine
#371
of 2,903 outputs
Outputs of similar age
#104,413
of 340,493 outputs
Outputs of similar age from Clinical Chemistry and Laboratory Medicine
#10
of 96 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,903 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,493 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.