Evidence map›Paper›PMID 27006629›Full record

ArticleCurrent genomics2015

Clinical Next Generation Sequencing for Precision Medicine in Cancer.

Ling Dong, Wanheng Wang, Alvin Li, Rina Kansal, Yuhan Chen, Hong Chen, Xinmin Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Ling DongDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, 650 Charles Young Dr., Los Angeles, CA 90095, USA;
Wanheng WangShanxi Guoxin Caregeno Medical Laboratories (MedLab), 7 Jiahua St., Taiyuan, Shanxi Province, China 030006;
Alvin LiDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, 650 Charles Young Dr., Los Angeles, CA 90095, USA;
Rina KansalDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, 650 Charles Young Dr., Los Angeles, CA 90095, USA;
Yuhan ChenHeilongjiang University of Chinese Medicine, No. 24 Heping Road, Harbin, China 150040.
Hong ChenQiqihaer First Hospital, No.30, Gongyuan Road, Qiqihar, Heilongjiang Province, China 161005;
Xinmin LiDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, 650 Charles Young Dr., Los Angeles, CA 90095, USA;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid adoption of next generation sequencing (NGS) in genomic medicine has been driven by low cost, high throughput sequencing and rapid advances in our understanding of the genetic bases of human diseases. Today, the NGS method has dominated sequencing space in genomic research, and quickly entered clinical practice. Because unique features of NGS perfectly meet the clinical reality (need to do more with less), the NGS technology is becoming a driving force to realize the dream of precision medicine. This article describes the strengths of NGS, NGS panels used in precision medicine, current applications of NGS in cytology, and its challenges and future directions for routine clinical use.

Indexed as

Cancer.Gene panelNext generation sequencingPrecision medicineWhole exome sequencing

Identifiers

PMID27006629
PMCPMC4765520

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.