Evidence map›Paper›PMID 40970927›Full record

ArticleAnnals of hematology2025

Genetic analysis of thalassemia in putian: comparative insights into mutation spectra with other global regions.

Liumin Yu, Guanghui Xu, Zhanfei Chen, Kun Lin, Jinqiu Li, Hua Lin

Abstract readComparative Study
In one paragraph

Article in Annals of hematology, 2025. 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

6 authors.

Liumin YuDepartment of Laboratory Medicine, the Affiliated Hospital of Putian University, Putian University, No.999 Dongzhen East Road, Licheng District, Putian, Fujian, 351100, China.
Guanghui XuDepartment of Laboratory Medicine, the Affiliated Hospital of Putian University, Putian University, No.999 Dongzhen East Road, Licheng District, Putian, Fujian, 351100, China.
Zhanfei ChenDepartment of Laboratory Medicine, the Affiliated Hospital of Putian University, Putian University, No.999 Dongzhen East Road, Licheng District, Putian, Fujian, 351100, China.
Kun LinPrenatal Diagnosis Center, the Affiliated Hospital of Putian University, Putian University, Putian, 351100, China.
Jinqiu LiCentral Laboratory, the Affiliated Hospital of Putian University, Putian University, Putian, 351100, China.
Hua LinDepartment of Laboratory Medicine, the Affiliated Hospital of Putian University, Putian University, No.999 Dongzhen East Road, Licheng District, Putian, Fujian, 351100, China. linhua_28@126.com.

Funding

Putian Municipal Science and Technology Plan 2023S3F0010
6 · The paper itself

Abstract

Thalassemia is one of the most prevalent inherited hemolytic diseases. This study aimed to characterize thalassemia mutations and provide an epidemiological basis for prevention and control of the disorder in Putian. A total of 6,380 individuals were enrolled in Putian from March 2017 to February 2025. Common thalassemia mutations were screened by polymerase chain reaction-flow-through hybridization, while rare thalassemia gene variants were detected by gel electrophoresis and DNA sequencing. 2,264 cases (35.49%) were confirmed as thalassemia, including 1,418 cases of α-thalassemia, 807 cases of β-thalassemia, and 39 cases of co-inheritance of α- and β-thalassemia. Among the 31 α-thalassemia genotypes identified, deletions were predominant, including --

Indexed as

alpha-Thalassemiabeta-ThalassemiaMutationAdolescentAdultChildChild, PreschoolFemaleGenotypeHumansMaleMiddle AgedYoung AdultEpidemiologyGene mutationGenotypeInfertilityThalassemia

Identifiers

PMID40970927
PMCPMC12552416

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.