Evidence map›Paper›PMID 41988264›Full record

ArticleJournal of thoracic disease2026

Impact of non-tumor size related features on staging in non-small cell lung cancer: a population-level analysis of the SEER-medicare database.

Ravi Rajaram, Barbara H Johnson, Qing Huang, Balaji Laxmanan, Stephen Johnston, Aisha Hasan, James M Giuffre, Iftekhar Kalsekar, Anil Vachani, Clifford Robinson and 1 more

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.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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

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

11 authors.

Ravi RajaramDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Barbara H JohnsonJohnson & Johnson, New Brunswick, NJ, USA.
Qing HuangJohnson & Johnson, New Brunswick, NJ, USA.
Balaji LaxmananJohnson & Johnson, New Brunswick, NJ, USA.
Stephen JohnstonJohnson & Johnson, New Brunswick, NJ, USA.
Aisha HasanJohnson & Johnson, New Brunswick, NJ, USA.
James M GiuffreJohnson & Johnson, New Brunswick, NJ, USA.
Iftekhar KalsekarJohnson & Johnson, New Brunswick, NJ, USA.
Anil VachaniNYU Langone Health, New York, NY, USA.
Clifford RobinsonWashington University School of Medicine in St. Louis, St. Louis, MO, USA.
Kiran DevisettyJohnson & Johnson, New Brunswick, NJ, USA.ORCID https://orcid.org/0000-0001-9762-6621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to quantify and characterize the presence of non-tumor size features among non-small cell lung cancer (NSCLC) patients in a surgical cohort versus those in a non-surgical cohort and assess the potential impact of key features on staging. A total of 22,876 patients aged 66 years and older with newly diagnosed (2010-2015) stage I-III NSCLC (T1-T3, N0/N1, M0) without prior or concurrent primary cancer were identified from the Surveillance, Epidemiology, and End Results (SEER)-Medicare Database. Reported T stage data (American Joint Committee on Cancer 7th Edition) were compared with a hypothetical tumor size only T stage (Tsize-Only), which did not account for non-tumor size defining characteristics. Frequencies of key non-tumor size features were analyzed among surgical and non-surgical cohorts. In the surgical cohort, a lower Tsize-Only

Indexed as

Non-small cell lung cancer (NSCLC)non-surgicalstagingsurgicalvisceral pleural invasion (VPI)

Identifiers

PMID41988264
PMCPMC13077356

What OpenQuestion holds

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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.