Evidence map›Paper›PMID 33494470›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Targeted Next-Generation Sequencing of Liquid Biopsy Samples from Patients with NSCLC.

Hestia Mellert, Jordan Reese, Leisa Jackson, Victoria Maxwell, Chérie Tschida, Gary A Pestano

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. 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
0.5field-weighted citation impact, top 44% 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, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
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

6 authors at 1 institution in 1 country.

Hestia MellertBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, USA.
Jordan ReeseBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, USA.
Leisa JacksonBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, USA.
Victoria MaxwellBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, USA.
Chérie TschidaBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, USA.
Gary A PestanoBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, USA.ORCID 0000-0002-7903-2552
Helix Biomedix (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid biopsy tests have become an integral part of the molecular diagnosis of patients with non-small cell lung cancer (NSCLC). We describe a new test panel that uses very low input (20 ng) of cell-free nucleic acids extracted from human plasma, which is designed to yield results in less than 72 h. In this study, we performed novel amplicon-based targeted next-generation sequencing with a semiconductor-based system, the Ion GeneStudio S5 Prime. The analytic performance of the assay was evaluated using contrived and retrospectively collected clinical specimens. The cumulative percent coefficient of variation for the new test process was very precise at 8.4% for inter-day, 4.0% for inter-operator and 3.4% for inter-instrument. We also observed significant agreement (95.7-100%) with an orthogonal, high-sensitivity droplet digital™ Polymerase Chain Reaction (ddPCR) test. This method offers a valuable supplement to assessing targeted mutations from blood while conserving specimens and maintaining sensitivity, with rapid turn-around times to actionable results.

Indexed as

diagnosticsliquid biopsynext generation sequencing (NGS)non-small cell lung cancer (NSCLC)

Identifiers

PMID33494470
PMCPMC7912015
OpenAlexW3122883763

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.