Evidence map›Paper›PMID 33489052›Full record

ArticleMediterranean journal of hematology and infectious diseases2021

The Importance of Targeted Next-Generation Sequencing Usage in Cytogenetically Normal Myeloid Malignancies.

Emine Ikbal Atli, Hakan Gurkan, Engin Atli, Hakki Onur Kirkizlar, Sinem Yalcintepe, Selma Demir, Ufuk Demirci, Damla Eker, Cisem Mail, Rasime Kalkan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Mediterranean journal of hematology and infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 2 institutions in 2 countries.

Emine Ikbal AtliFaculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey.
Hakan GurkanFaculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey.
Engin AtliFaculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey.
Hakki Onur KirkizlarFaculty of Medicine, Department of Hematology, Trakya University, Edirne, Turkey.
Sinem YalcintepeFaculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey.
Selma DemirFaculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey.
Ufuk DemirciFaculty of Medicine, Department of Hematology, Trakya University, Edirne, Turkey.
Damla EkerFaculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey.
Cisem MailFaculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey.
Rasime KalkanFaculty of Medicine, Department of Medical Genetics, Near East University, Nicosia, Cyprus.
Ahmet Muzaffer DemirFaculty of Medicine, Department of Hematology, Trakya University, Edirne, Turkey.
Trakya University · TRNear East University · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced diagnostic methods give an advantage for the identification of abnormalities in myeloid malignancies. Various researchers have shown the potential importance of genetic tests before the disease's onset and in remission. Large testing panels prevent false-negative results in myeloid malignancies. However, the critical question is how the results of conventional cytogenetic and molecular cytogenetic techniques can be merged with NGS technologies. In this paper, we drew an algorithm for the evaluation of myeloid malignancies. To evaluate genetic abnormalities, we performed cytogenetics, molecular cytogenetics, and NGS testing in myeloid malignancies. In this study, we analyzed 100 patients admitted to the Medical Genetics Laboratory with different myeloid malignancies. We highlighted the possible diagnostic algorithm for cytogenetically normal cases. We applied NGS 141 gene panel for cytogenetically normal patients, and we detected two or more pathogenic variations in 61 out of 100 patients (61%). NGS's pathogenic variation detection rate varies in disease groups: they were present in 85% of A.M.L. and 23% of M.D.S. Here, we identified 24 novel variations out of total pathogenic variations in myeloid malignancies. A total of 18 novel variations were identified in A.M.L., and 6 novel variations were identified in M.D.S. Despite long turnaround times, conventional techniques are still a golden standard for myeloid malignancies but sometimes cryptic gene fusions or complex abnormalities cannot be easily identified by conventional techniques. In these conditions, advanced technologies like NGS are highly recommended.

Indexed as

FISHHematologic malignanciesKaryotypeNGS

Identifiers

PMID33489052
PMCPMC7813283
OpenAlexW3119303306

What OpenQuestion holds

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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.