Evidence map›Paper›PMID 33342339›Full record

ArticleThe Journal of international medical research2020

Evaluation of Ion Torrent next-generation sequencing for thalassemia diagnosis.

Peisong Chen, Xuegao Yu, Hao Huang, Wentao Zeng, Xiaohong He, Min Liu, Bin Huang

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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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

7 authors at 1 institution in 1 country.

Peisong ChenDepartment of Clinical Laboratory, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0003-0640-3663
Xuegao YuDepartment of Clinical Laboratory, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Hao HuangDepartment of Clinical Laboratory, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Wentao ZengDepartment of Clinical Laboratory, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xiaohong HeDepartment of Clinical Laboratory, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Min LiuDepartment of Clinical Laboratory, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Bin HuangDepartment of Clinical Laboratory, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo evaluate a next-generation sequencing (NGS) workflow in the screening and diagnosis of thalassemia.

methodsIn this prospective study, blood samples were obtained from people undergoing genetic screening for thalassemia at our centre in Guangzhou, China. Genomic DNA was polymerase chain reaction (PCR)-amplified and sequenced using the Ion Torrent system and results compared with traditional genetic analyses.

resultsOf the 359 subjects, 148 (41%) were confirmed to have thalassemia. Variant detection identified 35 different types including the most common. Identification of the mutational sites by NGS were consistent with those identified by Sanger sequencing and Gap-PCR. The sensitivity and specificities of the Ion Torrent NGS were 100%. In a separate test of 16 samples, results were consistent when repeated ten times.

conclusionOur NGS workflow based on the Ion Torrent sequencer was successful in the detection of large deletions and non-deletional defects in thalassemia with high accuracy and repeatability.

Indexed as

High-Throughput Nucleotide SequencingThalassemiaChinaGenetic TestingHumansMutationProspective StudiesSequence Analysis, DNAIon TorrentNext-generation sequencingSequencingThalassemia

Identifiers

PMID33342339
PMCPMC7754798
OpenAlexW3117521913

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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.