Evidence map›Paper›PMID 38504315›Full record

ArticleJournal of cardiothoracic surgery2024

Clinicopathological factors associated with sentinel lymph node detection in non-small-cell lung cancer.

Christophe Wollbrett, Joseph Seitlinger, Florent Stasiak, Juliette Piccoli, Arthur Streit, Joelle Siat, Guillaume Gauchotte, Stéphane Renaud

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2024. 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
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Use of indocyanine green in thoracic surgery: a literature review.Kardiochirurgia i torakochirurgia polska = Polish journal of cardio-thoracic surgery · 2026
    Review
  2. Article
  3. 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

8 authors at 1 institution in 1 country.

Christophe WollbrettDepartment of Thoracic Surgery, Nancy Regional University Hospital, Vandoeuvre-lès- Nancy, 54500, France.
Joseph SeitlingerDepartment of Thoracic Surgery, Nancy Regional University Hospital, Vandoeuvre-lès- Nancy, 54500, France.
Florent StasiakDepartment of Thoracic Surgery, Nancy Regional University Hospital, Vandoeuvre-lès- Nancy, 54500, France.
Juliette PiccoliDepartment of Thoracic Surgery, Nancy Regional University Hospital, Vandoeuvre-lès- Nancy, 54500, France.
Arthur StreitDepartment of Thoracic Surgery, Nancy Regional University Hospital, Vandoeuvre-lès- Nancy, 54500, France.
Joelle SiatDepartment of Thoracic Surgery, Nancy Regional University Hospital, Vandoeuvre-lès- Nancy, 54500, France.
Guillaume GauchotteDepartment of Pathology and Molecular Biology, Nancy Regional University Hospital, Vandoeuvre-lès-Nancy, 54500, France.
Stéphane RenaudDepartment of Thoracic Surgery, Nancy Regional University Hospital, Vandoeuvre-lès- Nancy, 54500, France. S.RENAUD@chru-nancy.fr.
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMapping of the pulmonary lymphatic system by near-infrared (NIR) fluorescence imaging might not always identify the first lymph node relay. The aim of this study was to determine the clinicopathologic factors allowing the identification of sentinel lymph nodes (SLNs) by NIR fluorescence imaging in thoracic surgery for non-small-cell lung cancer (NSCLC).

methodsWe conducted a retrospective review of 92 patients treated for suspected or confirmed cN0 lung cancer with curative intent who underwent an intraoperative injection of indocyanine green (ICG) either by direct peritumoral injection or by endobronchial injection using electromagnetic navigational bronchoscopy (ENB). After exclusion of patients for technical failure, benign disease and metastasis, we analyzed the clinicopathologic findings of 65 patients treated for localized-stage NSCLC, comparing the group with identification of SLNs (SLN-positive group) with the group without identification of SLNs (SLN-negative group).

resultsForty-eight patients (73.8%) were SLN-positive. Patients with SLN positivity were more frequently female (50%) than the SLN-negative patients were (11.8%) (p = 0.006). The mean value of diffusing capacity for carbon monoxide (DLCO) was lower among the patients in the SLN-negative group (64.7% ± 16.7%) than the SLN-positive group (77.6% ± 17.2%, p < 0.01). The ratio of forced expiratory volume in one second to forced vital capacity (FEV1/FCV) was higher in the SLN-positive group (69.0% vs. 60.8%, p = 0.02). Patients who were SLN-negative were characterized by a severe degree of emphysema (p = 0.003). There was no significant difference in pathologic characteristics. On univariate analyses, age, female sex, DLCO, FEV1/FVC, degree of emphysema, and tumor size were significantly associated with SLN detection. On multivariate analysis, DLCO > 75% (HR = 4.92, 95% CI: 1.27-24.7; p = 0.03) and female sex (HR = 5.55, 95% CI: 1.25-39.33; p = 0.04) were independently associated with SLN detection.

conclusionsAt a time of resurgence in the use of the sentinel lymph node mapping technique in the field of thoracic surgery, this study enabled us to identify, using multivariate analysis, two predictive factors for success: DLCO > 75% and female sex. Larger datasets are needed to confirm our results.

Indexed as

Carcinoma, Non-Small-Cell LungEmphysemaLung NeoplasmsSentinel Lymph NodeFemaleHumansLymphatic MetastasisLymph NodesSentinel Lymph Node BiopsySpectroscopy, Near-InfraredElectromagnetic navigation bronchoscopyIndocyanine greenNear-infrared fluorescenceNon-small-cell lung cancerSentinel lymph node

Identifiers

PMID38504315
PMCPMC10949663
OpenAlexW4392964664

What OpenQuestion holds

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LicenceCC BY
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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.