Evidence map›Paper›PMID 38668049›Full record

ArticleCurrent oncology (Toronto, Ont.)2024

Real-World Outcomes of Patients with Advanced Epidermal Growth Factor Receptor-Mutated Non-Small Cell Lung Cancer in Canada Using Data Extracted by Large Language Model-Based Artificial Intelligence.

Ruth Moulson, Jennifer Law, Adrian Sacher, Geoffrey Liu, Frances A Shepherd, Penelope Bradbury, Lawson Eng, Sandra Iczkovitz, Erica Abbie, Julia Elia-Pacitti and 5 more

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

15 authors.

Ruth MoulsonPentavere, 460 College Street, Toronto, ON M6G 1A1, Canada.ORCID 0000-0002-0821-5976
Jennifer LawDepartment of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada.
Adrian SacherDepartment of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada.
Geoffrey LiuDepartment of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada.
Frances A ShepherdDepartment of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada.
Penelope BradburyDepartment of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada.
Lawson EngDepartment of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada.
Sandra IczkovitzJanssen Inc., Toronto, ON M3C 1L9, Canada.
Erica AbbieJanssen Inc., Toronto, ON M3C 1L9, Canada.
Julia Elia-PacittiJanssen Inc., Toronto, ON M3C 1L9, Canada.
Emmanuel M EwaraJanssen Inc., Toronto, ON M3C 1L9, Canada.
Viktoriia MokriakPentavere, 460 College Street, Toronto, ON M6G 1A1, Canada.
Jessica WeissPentavere, 460 College Street, Toronto, ON M6G 1A1, Canada.
Christopher PettengellPentavere, 460 College Street, Toronto, ON M6G 1A1, Canada.
Natasha B LeighlDepartment of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-world evidence for patients with advanced

Indexed as

Artificial IntelligenceCarcinoma, Non-Small-Cell LungErbB ReceptorsLung NeoplasmsMutationAdultAgedAged, 80 and overCanadaFemaleHumansMaleMiddle AgedTreatment OutcomeEGFR protein, humanErbB Receptorsartificial intelligencenon-small cell lung cancerreal-world evidence

Identifiers

PMID38668049
PMCPMC11049467

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.