Evidence map›Paper›PMID 35299609›Full record

ArticleHeliyon2022

Omar S El-Masry, Ali M Alamri, Faisal Alzahrani, Khaldoon Alsamman

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2022. 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 31% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. The impact of ADAMTS14 genetic polymorphisms and its function on susceptibility to and prognosis of gastric cancer in a Chinese Han population.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
    Article
  4. Article
  5. 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

4 authors at 2 institutions in 1 country.

Omar S El-MasryDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Imam Abdulrahaman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Ali M AlamriDepartment of Internal Medicine, King Fahd Hospital of the University, Imam Abdulrahaman Bin Faisal University, Alkhobar, 34445, Saudi Arabia.
Faisal AlzahraniDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Imam Abdulrahaman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Khaldoon AlsammanDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Imam Abdulrahaman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Imam Abdulrahman Bin Faisal University · SAKing Fahd Hospital of the University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukaemia (AML) is a blood cancer with a heterogeneous genomic landscape. This study aimed to mine bioinformatics data generated by RNA sequencing to unveil an AML case transcriptome profile and identify novel therapeutic targets and markers. In this study, we have determined the transcriptomic profile and analysed gene variants of an AML patient at the time of diagnosis and validated some genes by quantitative reverse transcriptase polymerase chain reaction.

Indexed as

Acute myeloid leukaemiaADAMTS14ARHGAP22EPDR1Insertion/deletionRNA sequencingSingle nucleotide polymorphism

Identifiers

PMID35299609
PMCPMC8920923
OpenAlexW4220855908

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.