Evidence map›Paper›PMID 25197072›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Density-based separation in multiphase systems provides a simple method to identify sickle cell disease.

Ashok A Kumar, Matthew R Patton, Jonathan W Hennek, Si Yi Ryan Lee, Gaetana D'Alesio-Spina, Xiaoxi Yang, Julie Kanter, Sergey S Shevkoplyas, Carlo Brugnara, George M Whitesides

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 2% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 123 citations in OpenAlex.

  1. Pooled it
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  10. Review
  11. Evaluation of Paper-Based Point of Care Screening Test for Sickle Cell Disease.Indian journal of clinical biochemistry : IJCB · 2022
    Article
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  20. Current modalities of sickle cell disease management.Blood science (Baltimore, Md.) · 2020
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Ashok A KumarSchool of Engineering and Applied Sciences.
Matthew R PattonDepartment of Chemistry and Chemical Biology, and.
Jonathan W HennekDepartment of Chemistry and Chemical Biology, and.
Si Yi Ryan LeeDepartment of Chemistry and Chemical Biology, and.
Gaetana D'Alesio-SpinaDepartment of Chemistry and Chemical Biology, and.
Xiaoxi YangDepartment of Biomedical Engineering, Tulane University, New Orleans, LA 70118;
Julie KanterDepartment of Pediatrics, Medical University of South Carolina, Charleston, SC 29425; and.
Sergey S ShevkoplyasDepartment of Biomedical Engineering, Tulane University, New Orleans, LA 70118;
Carlo BrugnaraDepartment of Laboratory Medicine, Children's Hospital Boston, Boston, MA 02115.
George M WhitesidesDepartment of Chemistry and Chemical Biology, and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02138; gwhitesides@gmwgroup.harvard.edu.
Tulane University · USBoston Children's Museum · USMedical University of South Carolina · USWyss Institute for Biologically Inspired Engineering

Funding

Eliminating Mediators of Toxicity from Stored BloodR01HL117329 · NHLBI · UNIVERSITY OF HOUSTON · PI SHEVKOPLYAS, SERGEY S · 2012 to 2017
$1.9M
NHLBI NIH HHS R01 HL117329NHLBI NIH HHS R01HL117329
6 · The paper itself

Abstract

Although effective low-cost interventions exist, child mortality attributable to sickle cell disease (SCD) remains high in low-resource areas due, in large part, to the lack of accessible diagnostic methods. The presence of dense (ρ > 1.120 g/cm(3)) cells is characteristic of SCD. The fluid, self-assembling step-gradients in density created by aqueous multiphase systems (AMPSs) identifies SCD by detecting dense cells. AMPSs separate different forms of red blood cells by density in a microhematocrit centrifuge and provide a visual means to distinguish individuals with SCD from those with normal hemoglobin or with nondisease, sickle-cell trait in under 12 min. Visual evaluation of a simple two-phase system identified the two main subclasses of SCD [homozygous (Hb SS) and heterozygous (Hb SC)] with a sensitivity of 90% (73-98%) and a specificity of 97% (86-100%). A three-phase system identified these two types of SCD with a sensitivity of 91% (78-98%) and a specificity of 88% (74-98%). This system could also distinguish between Hb SS and Hb SC. To the authors' knowledge, this test demonstrates the first separation of cells by density with AMPSs, and the usefulness of AMPSs in point-of-care diagnostic hematology.

Indexed as

Anemia, Sickle CellCell CountCell SeparationCentrifugationGenetic VariationHumansPoint-of-Care SystemsROC CurveTime Factorscell sortingdensity gradient centrifugationerythrocytespolymerssickle cell anemia

Identifiers

PMID25197072
PMCPMC4205650
OpenAlexW2112587241

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.