Evidence map›Paper›PMID 37310183›Full record

ArticleThe oncologist2023

Variations in Genomic Testing in Non-small Cell Lung Carcinoma: A Healthcare Professional Survey of Current Practices in the UK.

Shobhit Baijal, Philip Crosbie, Jackie Fenemore, Ketul Desai

Open access · goldAbstract read
In one paragraph

Article in The oncologist, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

4 authors at 4 institutions in 1 country.

Shobhit BaijalUniversity Hospital Birmingham NHS Trust, Birmingham, UK.ORCID 0000-0002-5842-6886
Philip CrosbieManchester University NHS Foundation Trust, Manchester, UK.ORCID 0000-0001-8941-4813
Jackie FenemoreThe Christie NHS Foundation Trust, Manchester, UK.ORCID 0000-0001-7874-6927
Ketul DesaiNovartis Pharmaceuticals UK Limited.
Novartis (United Kingdom) · GBThe Christie NHS Foundation Trust · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This survey aims to understand the current UK practice for non-small cell lung carcinoma (NSCLC) and identify barriers that may impact patient treatment and outcomes. In March-June 2021, 57 interviews were conducted with healthcare professionals involved in the secondary care management of patients with NSCLC. Most respondents performed genetic testing at onsite and non-genomic laboratory hub (GLH) offsite locations. The most common genetic tests were EGFR T790M variant (100%), EGFR exon 18-21 covered (95%) and BRAF (93%). No targeted therapy (TT) available (69%), lack of access to a TT (54%) or excessive molecular testing turnaround times (39%) were the most common reasons for using an immuno-oncology therapy over a TT in the first-line setting. The survey highlights variation in mutation testing practices across the UK, which may impact treatment decisions and contribute to health outcome inequality.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsDelivery of Health CareErbB ReceptorsGenetic TestingHealth Care SurveysHumansMutationProtein Kinase InhibitorsUnited KingdomErbB ReceptorsProtein Kinase Inhibitorsmanagementnon-small cell lung carcinomaoncogenic genetic testingreal world practicetreatment

Identifiers

PMID37310183
PMCPMC10400127
OpenAlexW4380423261

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.