Evidence map›Paper›PMID 34513491›Full record

ReviewCureus2021

The Utility of Next-Generation Sequencing in the Treatment Decision-Making for Metastatic Non-Small-Cell Lung Cancer.

Maria Cristina Orlov-Slavu, Ana Maria Popa, Adrian Tulin, Anca Pantea Stoian, Catalina Poiana, Cristian Paleru, Valentin Calu, Cornelia Nitipir

Abstract readReview
In one paragraph

Review in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Observational
  2. Review
  3. 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

8 authors.

Maria Cristina Orlov-SlavuOncology Department, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Ana Maria PopaOncology Department, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Adrian TulinGeneral Surgery, Agrippa Ionescu Emergency Hospital, Bucharest, ROU.
Anca Pantea StoianDiabetes, Nutrition and Metabolic Diseases Department, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Catalina PoianaEndocrinology, National Institute of Endocrinology C.I.Parhon, Bucharest, ROU.
Cristian PaleruThoracic Surgery, Marius Nasta National Institute of Pneumology, Bucharest, ROU.
Valentin CaluGeneral Surgery, Elias Emergency Hospital, Bucharest, ROU.
Cornelia NitipirOncology Department, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) is a fast and relatively inexpensive method to sequence a large number of genes with crucial importance in cancer medicine. Nowadays, NGS is frequently used in diagnostic and therapeutic decisions in oncology; however, recently, it was demonstrated that only a few cancer sites actually benefit from this assessment. Moreover, the association of a mutant gene with a targeted drug is not always as predicted during in-vitro trials and is often not associated with tumor response. To predict the efficacy of such an association several classification systems have been developed. The present review aims to analyze the most important tumor agnostic treatment trials and assess how they shape selecting cancer patients for NGS. Moreover, it aims to determine how mutation-drug associations can be classified by their targetability and level of evidence of efficacy in non-small-cell lung cancer.

Indexed as

cancer genomic profilingnext-generation sequencingoncologytargeted therapytumor agnostic treatment

Identifiers

PMID34513491
PMCPMC8412888

What OpenQuestion holds

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LicenceCC BY
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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.