Article in Radiology. Cardiothoracic imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
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
8 authors.
Na Eun OhFrom the Department of Radiology and Research Institute of Radiology (N.E.O., J.C., E.J.C., S.M.L., J.B.S.), Department of Thoracic and Cardiovascular Surgery (J.K.Y.), Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine (W.J.), and Department of Clinical Epidemiology and Biostatistics (S.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.ORCID 0009-0003-2860-9811
Jooae ChoeFrom the Department of Radiology and Research Institute of Radiology (N.E.O., J.C., E.J.C., S.M.L., J.B.S.), Department of Thoracic and Cardiovascular Surgery (J.K.Y.), Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine (W.J.), and Department of Clinical Epidemiology and Biostatistics (S.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.ORCID 0000-0003-0486-4626
Jae Kwang YunFrom the Department of Radiology and Research Institute of Radiology (N.E.O., J.C., E.J.C., S.M.L., J.B.S.), Department of Thoracic and Cardiovascular Surgery (J.K.Y.), Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine (W.J.), and Department of Clinical Epidemiology and Biostatistics (S.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.ORCID 0000-0001-5364-5548
Wonjun JiFrom the Department of Radiology and Research Institute of Radiology (N.E.O., J.C., E.J.C., S.M.L., J.B.S.), Department of Thoracic and Cardiovascular Surgery (J.K.Y.), Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine (W.J.), and Department of Clinical Epidemiology and Biostatistics (S.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.ORCID 0000-0001-7164-2770
Seonok KimFrom the Department of Radiology and Research Institute of Radiology (N.E.O., J.C., E.J.C., S.M.L., J.B.S.), Department of Thoracic and Cardiovascular Surgery (J.K.Y.), Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine (W.J.), and Department of Clinical Epidemiology and Biostatistics (S.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.
Eun Jin ChaeFrom the Department of Radiology and Research Institute of Radiology (N.E.O., J.C., E.J.C., S.M.L., J.B.S.), Department of Thoracic and Cardiovascular Surgery (J.K.Y.), Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine (W.J.), and Department of Clinical Epidemiology and Biostatistics (S.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.
Sang Min LeeFrom the Department of Radiology and Research Institute of Radiology (N.E.O., J.C., E.J.C., S.M.L., J.B.S.), Department of Thoracic and Cardiovascular Surgery (J.K.Y.), Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine (W.J.), and Department of Clinical Epidemiology and Biostatistics (S.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.ORCID 0000-0001-7627-2000
Joon Beom SeoFrom the Department of Radiology and Research Institute of Radiology (N.E.O., J.C., E.J.C., S.M.L., J.B.S.), Department of Thoracic and Cardiovascular Surgery (J.K.Y.), Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine (W.J.), and Department of Clinical Epidemiology and Biostatistics (S.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.ORCID 0000-0003-0271-7884
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Purpose To evaluate the preoperative risk factors in patients with pathologic IIIA N2 non-small cell lung cancer (NSCLC) who underwent upfront surgery and to evaluate the prognostic value of new N subcategories. Materials and Methods Patients with pathologic stage IIIA N2 NSCLC who underwent upfront surgery in a single tertiary center from January 2015 to April 2021 were retrospectively reviewed. Each patient's clinical N (cN) was assigned to one of six subcategories (cN0, cN1a, cN1b, cN2a1, cN2a2, and cN2b) based on recently proposed N descriptors. Cox regression analysis was used to identify the significant prognostic factors for recurrence-free survival (RFS) and overall survival (OS). Results A total of 366 patients (mean age ± SD, 62.0 years ± 10.1; 202 male patients [55%]) were analyzed. The recurrence rate was 55% (203 of 366 patients) over a median follow-up of 37.3 months. Multivariable analysis demonstrated that cN (hazard ratios [HRs] for cN1 and cN2b compared with cN0, 1.66 [95% CI: 1.11, 2.48] and 2.11 [95% CI: 1.32, 3.38], respectively) and maximum lymph node (LN) size at N1 station (≥12 mm; HR, 1.62 [95% CI: 1.15, 2.29]), in addition to clinical T category (HR, 1.51 [95% CI: 1.14, 1.99]), were independent prognostic factors for RFS. For OS, clinical N subcategories (cN1, cN2a2, and cN2b vs cN0; HRs, 1.91 [95% CI: 1.11, 3.27], 1.89 [95% CI: 1.13, 2.18], and 2.02 [95% CI: 1.07, 3.80], respectively) and LN size at N1 station (HR, 1.75 [95% CI: 1.12, 2.71]) were independent prognostic factors. For clinical N1, OS was further stratified according to LN size (log-rank test,
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.
Prognostic Value of Preoperative N Subcategories in Patients with Stage IIIA N2 Non-Small Cell Lung Cancer. · full record | OpenQuestion