Evidence map›Paper›PMID 32158090›Full record

ArticleIndian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion2020

TET2 Single Nucleotide Polymorphism in Myeloid Neoplasms Among Egyptian Patients.

Enas A Dammag, Nahla A M Hamed, Nabil A Elhalawani, Heba S Kassem, Mona W Ayad

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 88% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 2 countries.

Enas A Dammag1Hematology Department, Internal Medicine, Faculty of Medicine, Taiz University, Taiz, Yemen.
Nahla A M Hamed2Hematology Department, Internal Medicine, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Nabil A Elhalawani2Hematology Department, Internal Medicine, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Heba S Kassem3Medical Genetics Center, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Mona W Ayad4Clinical Pathology Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Alexandria University · EGTaiz University · YE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myelogenous leukemia (AML) is a heterogeneous disease characterized by myeloid progenitor cells uncontrolled proliferation gradually replacing normal hematopoiesis. To evaluate Ten Eleven Translocation 2 gene (TET2) single nucleotide polymorphism (SNP) (rs2454206, rs34402524, rs61744960) in AML, and chronic myeloid leukemia (CML) in relation to their disease prognostic criteria. The study included 136 subjects; 52 AML, 54 CML and 30 subjects as control group matched for age and sex. Routine investigations including CBC, bone marrow aspiration, flow cytometry biochemical investigations and cytogenetics and molecular study were performed accordingly. DNA extraction and SNP assay for TET2 gene polymorphism was done using (Thermo-Fisher predesigned SNP, USA) PCR prism 7500. The mean age was 43.4 ± 14.0 years in AML patients, 45.98 ± 15.7 years in CML patients and 39.3 ± 6.587 years in control group (

Indexed as

Acute myeloid leukemiaChronic myeloid leukemiaTen Eleven Translocation 2 gene

Identifiers

PMID32158090
PMCPMC7042427
OpenAlexW2969569549

What OpenQuestion holds

Textmetadata
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.