Evidence map›Paper›PMID 29089797›Full record

ArticleCurrent oncology (Toronto, Ont.)2017

Lung cancer care trajectory at a Canadian centre: an evaluation of how wait times affect clinical outcomes.

G Kasymjanova, D Small, V Cohen, R T Jagoe, G Batist, W Sateren, P Ernst, C Pepe, L Sakr, J Agulnik

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Diagnostic accuracy of next-generation sequencing (NGS) for identifying actionable mutations in advanced non-small cell lung cancer: Systematic Review and Meta-Analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  4. Quality of care assessment for non-small cell lung cancer patients: transforming routine care data into a continuous improvement system.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

10 authors.

G KasymjanovaPeter Brojde Lung Cancer Centre, Segal Cancer Centre, Sir Mortimer B. Davis Jewish General Hospital, Rossy Cancer Network, and McGill University, Montreal, QC.
D SmallPeter Brojde Lung Cancer Centre, Segal Cancer Centre, Sir Mortimer B. Davis Jewish General Hospital, Rossy Cancer Network, and McGill University, Montreal, QC.
V CohenPeter Brojde Lung Cancer Centre, Segal Cancer Centre, Sir Mortimer B. Davis Jewish General Hospital, Rossy Cancer Network, and McGill University, Montreal, QC.
R T JagoePeter Brojde Lung Cancer Centre, Segal Cancer Centre, Sir Mortimer B. Davis Jewish General Hospital, Rossy Cancer Network, and McGill University, Montreal, QC.
G BatistPeter Brojde Lung Cancer Centre, Segal Cancer Centre, Sir Mortimer B. Davis Jewish General Hospital, Rossy Cancer Network, and McGill University, Montreal, QC.
W Sateren
P ErnstPeter Brojde Lung Cancer Centre, Segal Cancer Centre, Sir Mortimer B. Davis Jewish General Hospital, Rossy Cancer Network, and McGill University, Montreal, QC.
C PepePeter Brojde Lung Cancer Centre, Segal Cancer Centre, Sir Mortimer B. Davis Jewish General Hospital, Rossy Cancer Network, and McGill University, Montreal, QC.
L SakrPeter Brojde Lung Cancer Centre, Segal Cancer Centre, Sir Mortimer B. Davis Jewish General Hospital, Rossy Cancer Network, and McGill University, Montreal, QC.
J AgulnikPeter Brojde Lung Cancer Centre, Segal Cancer Centre, Sir Mortimer B. Davis Jewish General Hospital, Rossy Cancer Network, and McGill University, Montreal, QC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer continues to be one of the most common cancers in Canada, with approximately 28,400 new cases diagnosed each year. Although timely care can contribute substantially to quality of life for patients, it remains unclear whether it also improves patient outcomes. In this work, we used a set of quality indicators that aim to describe the quality of care in lung cancer patients. We assessed adherence with existing guidelines for timeliness of lung cancer care and concordance with existing standards of treatment, and we examined the association between timeliness of care and lung cancer survival.

methodsPatients with lung cancer diagnosed between 2010 and 2015 were identified from the Pulmonary Division Lung Cancer Registry at our centre.

resultsWe demonstrated that the interdisciplinary pulmonary oncology service successfully treated most of its patients within the recommended wait times. However, there is still work to be done to decrease variation in wait time. Our results demonstrate a significant association between wait time and survival, supporting the need for clinicians to optimize the patient care trajectory.

interpretationIt would be helpful for Canadian clinicians treating patients with lung cancer to have wait time guidelines for all treatment modalities, together with standard definitions for all time intervals. Any reductions in wait times should be balanced against the need for thorough investigation before initiating treatment. We believe that our unique model of care leads to an acceleration of diagnostic steps. Avoiding any delay associated with referral to a medical oncologist for treatment could be an acceptable strategy with respect to reducing wait time.

Indexed as

Lung cancerwait times

Identifiers

PMID29089797
PMCPMC5659151

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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.