Evidence map›Paper›PMID 36590745›Full record

ArticleJTCVS open2022

Intraoperative challenges after induction therapy for non-small cell lung cancer: Effect of nodal disease on technical complexity.

Hope A Feldman, Nicolas Zhou, Nathanial Deboever, Wayne Hofstetter, Reza Mehran, Ravi Rajaram, David Rice, Jack A Roth, Boris Sepesi, Stephen Swisher and 5 more

Open access · goldAbstract read
In one paragraph

Article in JTCVS open, 2022. 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
2.9field-weighted citation impact, top 8% 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, 19 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

15 authors at 1 institution in 1 country.

Hope A FeldmanDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Nicolas ZhouDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Nathanial DeboeverDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Wayne HofstetterDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Reza MehranDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Ravi RajaramDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
David RiceDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Jack A RothDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Boris SepesiDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Stephen SwisherDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Ara VaporciyanDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Garrett WalshDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Myrna GodoyDepartment of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Chad StrangeDepartment of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Mara B AntonoffDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
The University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Neoadjuvant therapy has been theorized to increase complexity of non-small cell lung cancer resections; however, specific factors that contribute to intraoperative challenges after induction therapy have not been well described. We aimed to characterize the effect of nodal involvement and nodal treatment response on surgical complexity after neoadjuvant therapy. Methods: We identified patients treated with neoadjuvant therapy followed by anatomic lung resection for cN + non-small cell lung cancer between 2010 and 2020. Patients were categorized according to clinical N1 versus N2 disease. To evaluate the effect of nodal response to therapy, thoracic radiologists measured clinically suspected and pathologically involved lymph nodes before and after induction therapy. Operative reports were reviewed to identify technical challenges specifically related to nodal disease. Categorical outcomes were compared using Fisher exact test. Results: One hundred twenty-four patients met inclusion criteria, among whom 107 (86.3%) were treated with neoadjuvant chemotherapy, whereas chemoradiation (n = 8) and targeted therapy (n = 9) were less common. In cases with N1 disease, 8/38 (21.0%) required proximal pulmonary arterial control, whereas this was necessary in only 2/88 (2.3%) of N2 cases ( Conclusions: After induction therapy, N1 disease was associated with greater need for complex surgical maneuvers than N2 disease. Likewise, substantial treatment response was associated with increased intraoperative technical challenges. Recognizing such factors enables surgical teams to engage in appropriate operative planning to ensure patient safety.

Indexed as

CT, computed tomographyEBL, estimated blood lossIQR, interquartile rangeneoadjuvant therapynodal diseasenon–small cell lung cancerNSCLC, non–small cell lung cancerPA, pulmonary arteryPET, positron emission tomographypulmonary arterysurgery

Identifiers

PMID36590745
PMCPMC9801337
OpenAlexW4307721174

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.