Evidence map›Paper›PMID 34042991›Full record

ArticleJAMA network open2021

Analysis of Delayed Surgical Treatment and Oncologic Outcomes in Clinical Stage I Non-Small Cell Lung Cancer.

Brendan T Heiden, Daniel B Eaton, Kathryn E Engelhardt, Su-Hsin Chang, Yan Yan, Mayank R Patel, Daniel Kreisel, Ruben G Nava, Bryan F Meyers, Benjamin D Kozower and 1 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 4 pooled it
14.1field-weighted citation impact, top 1% 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

75 citing papers in PubMed, 4 syntheses or guidelines pooled it, 135 citations in OpenAlex.

  1. Pooled it
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  5. Effect of an Antiracism Intervention on Racial Disparities in Time to Lung Cancer Surgery.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
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15 more citing papers are in PubMed but not listed here.

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

11 authors at 2 institutions in 1 country.

Brendan T HeidenDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine in St Louis, Missouri.
Daniel B EatonVA St Louis Health Care System, St Louis, Missouri.
Kathryn E EngelhardtDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine in St Louis, Missouri.
Su-Hsin ChangVA St Louis Health Care System, St Louis, Missouri.
Yan YanVA St Louis Health Care System, St Louis, Missouri.
Mayank R PatelVA St Louis Health Care System, St Louis, Missouri.
Daniel KreiselDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine in St Louis, Missouri.
Ruben G NavaDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine in St Louis, Missouri.
Bryan F MeyersDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine in St Louis, Missouri.
Benjamin D KozowerDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine in St Louis, Missouri.
Varun PuriDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine in St Louis, Missouri.
Washington University in St. Louis · USVA St. Louis Health Care System · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
Defining Quality of Care in Lung CancerI01HX002475 · VA · ST. LOUIS VA MEDICAL CENTER · PI PURI, VARUN · 2020 to 2023
–
HSRD VA I01 HX002475NCI NIH HHS P30 CA091842
6 · The paper itself

Abstract

Importance: The association between delayed surgical treatment and oncologic outcomes in patients with non-small cell lung cancer (NSCLC) is poorly understood given that prior studies have used imprecise definitions for the date of cancer diagnosis. Objective: To use a uniform method to quantify surgical treatment delay and to examine its association with several oncologic outcomes. Design, Setting, and Participants: This retrospective cohort study was conducted using a novel data set from the Veterans Health Administration (VHA) system. Included patients had clinical stage I NSCLC and were undergoing resection from 2006 to 2016 within the VHA system. Time to surgical treatment (TTS) was defined as the time between preoperative diagnostic computed tomography imaging and surgical treatment. We evaluated the association between TTS and several delay-associated outcomes using restricted cubic spline functions. Data analyses were performed in November 2021. Exposure: Wait time between cancer diagnosis and surgical treatment (ie, TTS). Main Outcomes and Measures: Several delay-associated oncologic outcomes, including pathologic upstaging, resection with positive margins, and recurrence, were assessed. We also assessed overall survival. Results: Among 9904 patients who underwent surgical treatment for clinical stage I NSCLC, 9539 (96.3%) were men, 4972 individuals (50.5%) were currently smoking, and the mean (SD) age was 67.7 (7.9) years. The mean (SD) TTS was 70.1 (38.6) days. TTS was not associated with increased risk of pathologic upstaging or positive margins. Recurrence was detected in 4158 patients (42.0%) with median (interquartile range) follow-up of 6.15 (2.51-11.51) years. Factors associated with increased risk of recurrence included younger age (hazard ratio [HR] for every 1-year increase in age, 0.992; 95% CI, 0.987-0.997; P = .003), higher Charlson Comorbidity Index score (HR for every 1-unit increase in composite score, 1.055; 95% CI, 1.037-1.073; P < .001), segmentectomy (HR vs lobectomy, 1.352; 95% CI, 1.179-1.551; P < .001) or wedge resection (HR vs lobectomy, 1.282; 95% CI, 1.179-1.394; P < .001), larger tumor size (eg, 31-40 mm vs <10 mm; HR, 1.209; 95% CI, 1.051-1.390; P = .008), higher tumor grade (eg, II vs I; HR, 1.210; 95% CI, 1.085-1.349; P < .001), lower number of lymph nodes examined (eg, ≥10 vs <10; HR, 0.866; 95% CI, 0.803-0.933; P < .001), higher pathologic stage (III vs I; HR, 1.571; 95% CI, 1.351-1.837; P < .001), and longer TTS, with increasing risk after 12 weeks. For each week of surgical delay beyond 12 weeks, the hazard for recurrence increased by 0.4% (HR, 1.004; 95% CI, 1.001-1.006; P = .002). Factors associated with delayed surgical treatment included African American race (odds ratio [OR] vs White race, 1.267; 95% CI, 1.112-1.444; P < .001), higher area deprivation index [ADI] score (OR for every 1 unit increase in ADI score, 1.005; 95% CI, 1.002-1.007; P = .002), lower hospital case load (OR for every 1-unit increase in case load, 0.998; 95% CI, 0.998-0.999; P = .001), and year of diagnosis, with less recent procedures more likely to have delay (OR for each additional year, 0.900; 95% CI, 0.884-0.915; P < .001). Patients with surgical treatment within 12 weeks of diagnosis had significantly better overall survival than those with procedures delayed more than 12 weeks (HR, 1.132; 95% CI, 1.064-1.204; P < .001). Conclusions and Relevance: Using a more precise definition for TTS, this study found that surgical procedures delayed more than 12 weeks were associated with increased risk of recurrence and worse survival. These findings suggest that patients with clinical stage I NSCLC should undergo expeditious treatment within that time frame.

Indexed as

Survival RateAgedCarcinoma, Non-Small-Cell LungCohort StudiesFemaleHumansLung NeoplasmsMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsTime-to-TreatmentTreatment Outcome

Identifiers

PMID34042991
PMCPMC8160592
OpenAlexW3165477530

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.