Evidence map›Paper›PMID 33173375›Full record

ArticleCurrent oncology (Toronto, Ont.)2020

Diagnostic patterns of non-small-cell lung cancer at Princess Margaret Cancer Centre.

M Nadjafi, M R Sung, G D C Santos, L W Le, D M Hwang, M S Tsao, N B Leighl

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2020. 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. Article
  2. Article
  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

7 authors.

M NadjafiPrincess Margaret Cancer Centre, University Health Network, Toronto, ON.
M R SungPrincess Margaret Cancer Centre, University Health Network, Toronto, ON.
G D C SantosPrincess Margaret Cancer Centre, University Health Network, Toronto, ON.
L W LePrincess Margaret Cancer Centre, University Health Network, Toronto, ON.
D M HwangPrincess Margaret Cancer Centre, University Health Network, Toronto, ON.
M S TsaoPrincess Margaret Cancer Centre, University Health Network, Toronto, ON.
N B LeighlPrincess Margaret Cancer Centre, University Health Network, Toronto, ON.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate classification of lung cancer subtypes has become critical in tailoring lung cancer treatment. Our study aimed to evaluate changes in diagnostic testing and pathologic subtyping of advanced non-small-cell lung cancer (nsclc) over time at a major cancer centre. Methods: In a review of patients diagnosed with advanced nsclc at Princess Margaret Cancer Centre between 2007-2009 and 2013-2015, diagnostic method, sample type and site, pathologic subtype, and use of immunohistochemistry (ihc) staining and molecular testing were abstracted. Results: The review identified 238 patients in 2007-2009 and 283 patients in 2013-2015. Over time, the proportion of patients diagnosed with adenocarcinoma increased to 73.1% from 60.9%, and diagnoses of nsclc not otherwise specified (nos) decreased to 6.4% from 18.9%, Conclusions: Customizing treatment based on pathologic subtype and molecular genotype has become key in treating patients with advanced lung cancer. Greater accuracy of pathology diagnosis is being achieved, including through the routine use of ihc.

Indexed as

AdenocarcinomaCarcinoma, Non-Small-Cell LungLung NeoplasmsAdultAgedAged, 80 and overFemaleHumansImmunohistochemistryLungMaleMiddle AgedDiagnostic testingimmunohistochemistrylung cancermolecular testingpathologic subtypes

Identifiers

PMID33173375
PMCPMC7606036

What OpenQuestion holds

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Registered trials

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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.