Evidence map›Paper›PMID 42306763›Full record

ArticleJournal of thoracic disease2026

Tumor stage, squamous histology and male sex predict positive resection margins in non-small cell lung cancer patients undergoing anatomical resection-a retrospective study from a high-volume thoracic surgery unit.

Mircea Gabriel Stoleriu, Konrad Steinestel, Matteo Grimmer, Lena-Maria Löwer-Kiem, Moritz Witzenhausen, Jan Sölter, Sebastian Brill, Annette Arndt

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Mircea Gabriel StoleriuDivision for Thoracic Surgery Munich, Ludwig-Maximilians-University of Munich (LMU) and Asklepios Lung Clinic Munich-Gauting, Gauting, Germany.
Konrad SteinestelInstitute of Pathology and Molecular Pathology, Bundeswehrkrankenhaus Ulm, Ulm, Germany.
Matteo GrimmerInstitute of Pathology and Molecular Pathology, Bundeswehrkrankenhaus Ulm, Ulm, Germany.
Lena-Maria Löwer-KiemInstitute of Pathology and Molecular Pathology, Bundeswehrkrankenhaus Ulm, Ulm, Germany.
Moritz WitzenhausenInterdisciplinary Lung Cancer Center, Bundeswehrkrankenhaus Ulm, Ulm, Germany.
Jan SölterInterdisciplinary Lung Cancer Center, Bundeswehrkrankenhaus Ulm, Ulm, Germany.
Sebastian Brill *Interdisciplinary Lung Cancer Center, Bundeswehrkrankenhaus Ulm, Ulm, Germany.
Annette Arndt *Institute of Pathology and Molecular Pathology, Bundeswehrkrankenhaus Ulm, Ulm, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of the study is to identify perioperative predictors of positive resection margins in patients with non-small cell lung cancer (NSCLC) undergoing anatomical resections to improve perioperative risk stratification and ultimately, patient care. Methods: All patients with primary NSCLC admitted at the Bundeswehrkrankenhaus (Armed Forces Hospital) Ulm for anatomical resections between 01.01.2019 and 31.12.2024 were retrospectively included into the study. Based on resection margins, patients were categorized in two groups: Group 1 (with negative resection margins, R Results: Of 232 NSCLC patients [median age 69.00 (63.00, 75.00) years, 22% aged >75 years, and 2.2% with an Eastern Cooperative Oncology Group (ECOG) >2] who underwent anatomical resections, 107 (46.1%) female patients were included. While R Conclusions: T stage (pT >2), squamous histology and male sex predict positive resection margins in lung cancer patients undergoing anatomical resections. Consideration of these parameters could help in patients' stratification and care and thus, should be further evaluated in larger patients' cohorts.

Indexed as

lung cancerNon-small cell lung cancer (NSCLC)positive resection marginsrisk stratification

Identifiers

PMID42306763
PMCPMC13266855

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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.