Evidence map›Paper›PMID 33889502›Full record

ArticleTranslational lung cancer research2021

Detection and quantification of

Catarina Silveira, Ana Carla Sousa, André Janeiro, Sara Malveiro, Encarnação Teixeira, Eva Brysch, Marcos Pantarotto, Margarida Felizardo, Rosa Madureira, Fernando Nogueira and 5 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Droplet Digital PCR as a Molecular Tool for the Detection of theBalkan journal of medical genetics : BJMG · 2023
    Article
  12. Article
  13. Journal of thoracic disease · 2022
    Article
  14. Review
  15. Comparison of KRAS gene in circulating tumor DNA levels vs histological grading of colorectal cancer patients through liquid biopsy.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association
    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

15 authors.

Catarina SilveiraGenoMed - Molecular Medicine Diagnostics, S.A., Lisbon, Portugal.
Ana Carla SousaGenoMed - Molecular Medicine Diagnostics, S.A., Lisbon, Portugal.
André JaneiroGenoMed - Molecular Medicine Diagnostics, S.A., Lisbon, Portugal.
Sara MalveiroGenoMed - Molecular Medicine Diagnostics, S.A., Lisbon, Portugal.
Encarnação TeixeiraHospital Pulido Valente, Department of Pulmonary Oncology, Lisbon, Portugal.
Eva BryschHospital Pulido Valente, Department of Pulmonary Oncology, Lisbon, Portugal.
Marcos PantarottoHospital da Luz, Department of Medical Oncology, Lisbon, Portugal.
Margarida FelizardoHospital Beatriz Ângelo, Department of Pulmonology, Lisbon, Portugal.
Rosa MadureiraHospital Beatriz Ângelo, Department of Pathology, Lisbon, Portugal.
Fernando NogueiraHospital Egas Moniz, Department of Pulmonology, Lisbon, Portugal.
Cátia GuimarãesHospital Egas Moniz, Department of Pulmonology, Lisbon, Portugal.
Cristina MatosHospital Egas Moniz, Department of Pulmonology, Lisbon, Portugal.
Dolores CanárioHospital Garcia de Orta, Department of Pulmonology, Almada, Portugal.
Jácome Bruges-ArmasHospital de Santo Espírito, Department of Specialized Service of Epidemiology and Molecular Biology (SEEBMO), Angra do Heroísmo, Azores, Portugal.
Maria Carmo-FonsecaInstituto de Medicina Molecular João Lobo Antunes, University of Lisbon Medical School, Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiquid biopsy allows the identification of targetable cancer mutations in a minimally invasive manner. In patients with advanced non-small cell lung cancer (NSCLC), droplet digital PCR (ddPCR) is increasingly used to genotype the epidermal growth factor receptor (

methodsA ddPCR assay was optimized to detect the

resultsOur ddPCR assay enabled the detection and quantification of the

conclusionsThis study highlights the value of ddPCR to detect and quantify the

Indexed as

droplet digital PCR (ddPCR)EGFR T790M mutationliquid biopsyLung cancer

Identifiers

PMID33889502
PMCPMC8044487

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.