Evidence map›Paper›PMID 39674920›Full record

ArticleJournal of clinical laboratory analysis2025

Digital Imaging of Peripheral Blood Smear With MC-80 as a Screening Tool for Thalassemia.

Peempol Chokchaipermpoonphol, Satana Lamtanthong, Sathaporn Nokkaew

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Prediction ofFrontiers in medicine · 2026
    Article
  2. Article
  3. Article
  4. Review
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.

Peempol ChokchaipermpoonpholDepartment of Pathology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.ORCID https://orcid.org/0009-0007-6674-591X
Satana LamtanthongDepartment of Pathology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.ORCID https://orcid.org/0009-0009-9102-4350
Sathaporn NokkaewDepartment of Pathology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.ORCID https://orcid.org/0009-0000-3875-8464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThalassemia, a genetic blood disorder, poses significant global health challenges, emphasizing the importance of accurate screening methods. Traditional diagnostic tools, such as osmotic fragility and dichlorophenolindophenol tests, along with blood indices, such as mean corpuscular volume and mean corpuscular hemoglobin, have limitations. Digital microscopy of peripheral blood smears is a promising alternative for objective quantification and standardization.

methodsBlood samples from 81 thalassemia screening-negative and 41 screening-positive individuals were analyzed using Mindray MC-80 Digital Morphology.

resultsPre-classification of red blood cell (RBC) morphology using Mindray MC-80 revealed significant differences between the screening-positive and screening-negative groups. Various RBC morphologies demonstrated statistically significant variance, including hypochromic cells, schistocytes, elliptocytes, target cells, teardrop cells (p < 0.001), and ovalocytes (p = 0.002). However, the area under the receiver operating characteristic curve of these parameters was < 0.8, indicating a limited discriminatory power.

conclusionRBC morphology showed promise in detecting subtle changes associated with thalassemia. However, it may not be sufficient for accurate screening alone, highlighting the need for complementary diagnostic approaches.

Indexed as

ErythrocytesImage Processing, Computer-AssistedMicroscopyThalassemiaAdultFemaleHumansMaleMass ScreeningROC Curvediagnostic toolsdigital microscopyperipheral blood smearscreeningthalassemia

Identifiers

PMID39674920
PMCPMC11737123

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.