Evidence map›Paper›PMID 36442509›Full record

ArticleJournal of the National Cancer Institute2023

Association between imaging surveillance frequency and outcomes following surgical treatment of early-stage lung cancer.

Brendan T Heiden, Daniel B Eaton, Su-Hsin Chang, Yan Yan, Martin W Schoen, Theodore S Thomas, Mayank R Patel, Daniel Kreisel, Ruben G Nava, Bryan F Meyers and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Brendan T HeidenDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-0116-7377
Daniel B EatonVA St. Louis Health Care System, St. Louis, MO, USA.
Su-Hsin ChangVA St. Louis Health Care System, St. Louis, MO, USA.
Yan YanVA St. Louis Health Care System, St. Louis, MO, USA.
Martin W SchoenVA St. Louis Health Care System, St. Louis, MO, USA.
Theodore S ThomasVA St. Louis Health Care System, St. Louis, MO, USA.
Mayank R PatelVA St. Louis Health Care System, St. Louis, MO, USA.
Daniel KreiselDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Ruben G NavaDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Bryan F MeyersDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Benjamin D KozowerDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Varun PuriDivision of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
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
BASIC SCIENCE RESEARCH TRAINING: CARDIOPULMONARY SURGERYT32HL007776 · NHLBI · WASHINGTON UNIVERSITY · PI DAMIANO, RALPH J · 1994 to 2020
$4.6M
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 CA091842NHLBI NIH HHS T32 HL007776NIH HHS 5T32HL007776-25VA # 1I01HX002475-01A2
6 · The paper itself

Abstract

backgroundRecent studies have suggested that more frequent postoperative surveillance imaging via computed tomography following lung cancer resection may not improve outcomes. We sought to validate these findings using a uniquely compiled dataset from the Veterans Health Administration, the largest integrated health-care system in the United States.

methodsWe performed a retrospective cohort study of veterans with pathologic stage I non-small cell lung cancer receiving surgery (2006-2016). We assessed the relationship between surveillance frequency (chest computed tomography scans within 2 years after surgery) and recurrence-free survival and overall survival.

resultsAmong 6171 patients, 3047 (49.4%) and 3124 (50.6%) underwent low-frequency (<2 scans per year; every 6-12 months) and high-frequency (≥2 scans per year; every 3-6 months) surveillance, respectively. Factors associated with high-frequency surveillance included being a former smoker (vs current; adjusted odds ratio [aOR] = 1.18, 95% confidence interval [CI] = 1.05 to 1.33), receiving a wedge resection (vs lobectomy; aOR = 1.21, 95% CI = 1.05 to 1.39), and having follow-up with an oncologist (aOR = 1.58, 95% CI = 1.42 to 1.77), whereas African American race was associated with low-frequency surveillance (vs White race; aOR = 0.64, 95% CI = 0.54 to 0.75). With a median (interquartile range) follow-up of 7.3 (3.4-12.5) years, recurrence was detected in 1360 (22.0%) patients. High-frequency surveillance was not associated with longer recurrence-free survival (adjusted hazard ratio = 0.93, 95% CI = 0.83 to 1.04, P = .22) or overall survival (adjusted hazard ratio = 1.04, 95% CI = 0.96 to 1.12, P = .35).

conclusionsWe found that high-frequency surveillance does not improve outcomes in surgically treated stage I non-small cell lung cancer. Future lung cancer treatment guidelines should consider less frequent surveillance imaging in patients with stage I disease.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsHumansLungNeoplasm StagingPneumonectomyRetrospective StudiesUnited States

Identifiers

PMID36442509
PMCPMC9996218
OpenAlexW4310113727

What OpenQuestion holds

Textmetadata
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.