Evidence map›Paper›PMID 40950869›Full record

ArticleJournal of thoracic disease2025

Wait times between lung cancer diagnosis and surgery: national trends, disparities, and impact on long-term survival.

Claire Perez, Andrew R Brownlee, Lucas Weiser, Justin J J Watson, Kellie Knabe, Charles Fuller, Shruthi Nammalwar, Qiudong Chen, Raffaele Rocco, Harmik J Soukiasian

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. 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. A Socio-ecological Analysis of Factors Influencing the Perceived Value of Multicancer Early Detection Testing in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    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

10 authors.

Claire PerezDivision of Thoracic Surgery, Department of Surgery, Cedars Sinai Medical Center Los Angeles, CA, USA.ORCID https://orcid.org/0009-0000-8581-8773
Andrew R BrownleeDivision of Thoracic Surgery, Department of Surgery, Cedars Sinai Medical Center Los Angeles, CA, USA.
Lucas WeiserDivision of Thoracic Surgery, Department of Surgery, Cedars Sinai Medical Center Los Angeles, CA, USA.
Justin J J WatsonDivision of Thoracic Surgery, Department of Surgery, Cedars Sinai Medical Center Los Angeles, CA, USA.
Kellie KnabeDivision of Thoracic Surgery, Department of Surgery, Cedars Sinai Medical Center Los Angeles, CA, USA.
Charles FullerDivision of Thoracic Surgery, Department of Surgery, Cedars Sinai Medical Center Los Angeles, CA, USA.
Shruthi NammalwarDivision of Thoracic Surgery, Department of Surgery, Cedars Sinai Medical Center Los Angeles, CA, USA.
Qiudong ChenDivision of Thoracic Surgery, Department of Surgery, Cedars Sinai Medical Center Los Angeles, CA, USA.
Raffaele RoccoDivision of Thoracic Surgery, Department of Surgery, Cedars Sinai Medical Center Los Angeles, CA, USA.
Harmik J SoukiasianDivision of Thoracic Surgery, Department of Surgery, Cedars Sinai Medical Center Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The survival difference associated with delays between lung cancer diagnosis and definitive surgery is poorly defined in contemporary practice. The aim of this study was to evaluate the prevalence of treatment delays, trends in wait times, and survival impact in a national cohort. Methods: All patients with stage I or II non-small cell lung cancer (NSCLC) undergoing anatomic resection in the U.S. from 2004 to 2018 were identified in the National Cancer Database (NCDB). The association between survival and the interval between diagnosis and surgery was evaluated. Cox regression, logistic regression, and propensity score matching were used to adjust for differences in patient characteristics. Results: Between 2004-2018, 1,898,210 patients were diagnosed with lung cancer and 219,723 met the inclusion criteria. The median time between diagnosis and surgery was 30.5 [interquartile range (IQR), 5-50] days. The median wait time increased from 25 (IQR, 0-47) days in 2004 to 38 (IQR, 17-59) days in 2018 (P<0.001). After 1:1 propensity matching, the group contained 83,839 patients with one group waiting >4 and the other ≤4 weeks for surgery. The median age was 68 years and 45.7% [76,647] were men (P<0.6). Overall survival in the propensity matched group was significantly worse in patients waiting >4 weeks for definitive surgery compared with those waiting ≤4 weeks for stage I and II patients (P<0.001). Additionally, significant racial disparities in the interval between diagnosis and surgery were observed. The median wait time for non-Hispanic White patients was 31.0 (IQR, 8-52) days. Non-Hispanic Black patients waited 37.0 (IQR, 9-62) days, adjusted odds ratio (aOR) 1.2 [95% confidence interval (CI): 1.23-1.32, P<0.001] and Hispanic/Latino patients waited 32.0 (IQR, 2-55) days, aOR 0.95 (95% CI: 0.90-1.01, P<0.08). Conclusions: Wait times exceeding 4 weeks between lung cancer diagnosis and surgery for stage I and II NSCLC are increasingly common, particularly among non-Hispanic Black patients, and are associated with worse long-term survival. Reducing time between cancer diagnosis and surgery may represent a therapeutic target to mitigate healthcare disparities.

Indexed as

disparitiesLung cancertreatment delayswait times

Identifiers

PMID40950869
PMCPMC12433072

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.