Evidence map›Paper›PMID 28874768›Full record

ArticleScientific reports2017

A new red cell index and portable RBC analyzer for screening of iron deficiency and Thalassemia minor in a Chinese population.

Lieshu Tong, Josef Kauer, Sebastian Wachsmann-Hogiu, Kaiqin Chu, Hu Dou, Zachary J Smith

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  5. Application of Bayesian Decision Tree in Hematology Research: Differential Diagnosis ofComputational and mathematical methods in medicine · 2021
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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 at 4 institutions in 4 countries.

Lieshu TongUniversity of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, Anhui, China.
Josef KauerBeuth Hochschule für Technik Berlin, Berlin, Germany.
Sebastian Wachsmann-HogiuCenter for Biophotonics Science and Technology, University of California, Davis, Sacramento, CA, USA.
Kaiqin ChuUniversity of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, Anhui, China.
Hu DouDepartment of Clinical Laboratory, Ministry of Education Key Laboratory of Child Development and Disorders; Key Laboratory of Pediatrics in Chongqing; Chongqing International Science and Technology Cooperation Center for Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China. 375009808@qq.com.
Zachary J SmithUniversity of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, Anhui, China. zsmith@ustc.edu.cn.ORCID 0000-0002-7946-7863
University of Science and Technology of China · CNBerliner Hochschule für Technik · DEChina International Science and Technology Cooperation · CNMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anemia is a widespread public health problem with 1/4 ~1/3 of the world's population being affected. In Southeast Asia, Thalassemia trait (TT) and iron deficiency anemia (IDA) are the two most common anemia types and can have a serious impact on quality of life. IDA patients can be treated with iron supplementation, yet TT patients have diminished capacity to process iron. Therefore, distinguishing between types of anemia is essential for effective diagnosis and treatment. Here, we present two advances towards low-cost screening for anemia. First: a new red-cell-based index, Joint Indicator A, to discriminate between IDA, TT, and healthy children in a Chinese population. We collected retrospective data from 384 Chinese children and used discriminant function analysis to determine the best analytic function to separate healthy and diseased groups, achieving 94% sensitivity and 90% specificity, significantly higher than reported indices. This result is achieved using only three red cell parameters: mean cell volume (MCV), red cell distribution width (RDW) and mean cell hemoglobin concentration (MCHC). Our second advance: the development of a low cost, portable red cell analyzer to measure these parameters. Taken together, these two results may help pave the way for widespread screening for nutritional and genetic anemias.

Indexed as

Erythrocyte IndicesAdolescentAnalysis of VarianceAnemia, Iron-DeficiencyArea Under Curvebeta-ThalassemiaChildChild, PreschoolChinaDiagnosis, DifferentialFemaleHumansMalePopulation SurveillanceRetrospective StudiesROC Curve

Identifiers

PMID28874768
PMCPMC5585383
OpenAlexW2752742999

What OpenQuestion holds

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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.