Evidence map›Paper›PMID 30479607›Full record

ArticleEJIFCC2018

Next Generation Sequencing: From Research Area to Clinical Practice.

Chiara Di Resta, Maurizio Ferrari

Abstract read
In one paragraph

Article in EJIFCC, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Medical Genetics for Practicing Obstetrician.Journal of obstetrics and gynaecology of India · 2020
    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

2 authors.

Chiara Di RestaVita-Salute San Raffaele University, Milan, Italy.
Maurizio FerrariVita-Salute San Raffaele University, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Translating the power of high-throughput sequencing technologies from research area into clinical medicine is one of the major goal for several researchers and health-care providers. One of the important advantages of these technologies is that they can be successfully used in a numerous range of clinical applications. The efficiency of sequencing, that can now be achieved, is leading impressive progress in the diagnostics of common and rare genetic disorders, inherited forms of cancer, prenatal testing or infectious diseases, to cite some examples. Despite several challenges and limitations still remain to overcome, the high-throughput sequencing technologies are leading to real and unprecedented benefits for the medical care of patients.

Indexed as

clinical laboratory medicinehigh-throughput approachmedical carenext generation sequencing

Identifiers

PMID30479607
PMCPMC6247137

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.