Evidence map›Paper›PMID 30524974›Full record

ReviewIranian journal of public health2018

Next Generation Sequencing in Clinical Oncology: Applications, Challenges and Promises: A Review Article.

Faezeh Shabani Azim, Hamidreza Houri, Zohreh Ghalavand, Bahram Nikmanesh

Open access · greenAbstract readReview
In one paragraph

Review in Iranian journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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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

4 authors at 2 institutions in 1 country.

Faezeh Shabani AzimStudent Scientific Research Center, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Hamidreza HouriDept. of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Zohreh GhalavandDept. of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Bahram NikmaneshZoonosis Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this mini-review is to highlight the potential applications of next-generation sequencing technology to the field of clinical oncology with respect to genetic diagnosis, cancer classification, predictive biomarkers and personalized medicine.

methodsScientific databases were searched to collect relative data.

resultsEffective systematic analysis of whole-genome sequence and whole-exome sequence of tumors, targeted genome profiling, transcriptome sequencing and tumor-normal comparisons can be performed using NGS in order to diagnosis of several types of cancer.

conclusionNGS technology can be powerful enough to discover new and infrequent gene alterations, identify hereditary cancer mutation carriers and provide a reliable molecular portrait of wide range of cancers in a quick and cost-effective manner.

Indexed as

BiomarkersCancerGenetic diagnosisNext generation sequencingPersonalized medicines

Identifiers

PMID30524974
PMCPMC6277731
OpenAlexW2900653440

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.