Evidence map›Paper›PMID 29023896›Full record

ArticleTransfusion2018

Predicting changes in hemoglobin S after simple transfusion using complete blood counts.

Gagan Mathur, Patrick Ten Eyck, C Michael Knudson

Abstract read
In one paragraph

Article in Transfusion, 2018. 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
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

1 citing paper in PubMed.

  1. 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

3 authors.

Gagan MathurDeGowin Blood Center, Department of Pathology, University of Iowa Hospitals and Clinics.ORCID 0000-0001-7885-635X
Patrick Ten EyckInstitute for Clinical and Translational Science, University of Iowa, Iowa City, Iowa.
C Michael KnudsonDeGowin Blood Center, Department of Pathology, University of Iowa Hospitals and Clinics.

Funding

The University of Iowa Clinical and Translational Science AwardU54TR001356 · NCATS · UNIVERSITY OF IOWA · PI WINOKUR, PATRICIA · 2015 to 2016
$7.1M
NCATS NIH HHS U54 TR001356
6 · The paper itself

Abstract

backgroundHemoglobin S percentages are used in the management of patients who have sickle cell disease. However, hemoglobin S measurements often are not routinely or rapidly performed. Rapid and accurate methods to estimate hemoglobin S levels after simple transfusion may improve the care of patients with sickle cell disease. STUDY DESIGN AND

methodsA comprehensive review of the electronic medical record identified 24 stable patients with sickle cell disease who received simple red blood cell transfusions and had hemoglobin S measurements before and after the transfusion that were less than 72 hours apart. Examination of these patients identified 62 separate transfusions that met our criteria. Three simple equations that utilized complete blood count values and readily available information from the medical record were used to predict the post-transfusion hemoglobin S level after transfusion (Equation 1: predicted post-transfusion hemoglobin = pre-transfusion hemoglobin S × [pre-transfusion hemoglobin/post-transfusion hemoglobin]; Equation 2: predicted post-transfusion hemoglobin S = pre-transfusion hemoglobin S × [pre-transfusion hematocrit/post-transfusion hematocrit]; and Equation 3: predicted post-transfusion hemoglobin S = pre-transfusion hemoglobin S × total pre-transfusion hemoglobin/[total pre-transfusion hemoglobin + (red blood cell volume × 20)]).

resultsThe predicted hemoglobin S values for all three equations showed a highly significant correlation with the measured post-hemoglobin S value. The coefficient of determination (R

conclusionReductions in hemoglobin S values in patients with sickle cell disease who receive simple red blood cell transfusions can be reliably predicted using complete blood cell measurements and simple arithmetic equations.

Indexed as

Blood Cell CountBlood TransfusionAdolescentAdultAlgorithmsAnemia, Sickle CellBlood VolumeChildChild, PreschoolElectronic Health RecordsFemaleHematocritHemoglobinometryHemoglobin SC DiseaseHemoglobin, SickleHumansHemoglobin, Sickle

Identifiers

PMID29023896
PMCPMC6209099

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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.