Evidence map›Paper›PMID 42038383›Full record

ReviewFrontiers in oncology2026

CALGB 140503 and the shift to sublobar resection for small, peripheral, node-negative NSCLC: historical context, secondary analyses, and next steps.

Oliver S Chow, David R Jones, Thomas E Stinchcombe, Nasser K Altorki

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 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

4 authors.

Oliver S ChowDivision of Thoracic Surgery, Department of Cardiothoracic Surgery, Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY, United States.
David R JonesDivision of Thoracic Surgery, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, United States.
Thomas E StinchcombeDuke Cancer Institute, Duke University Medical Center, Durham, NC, United States.
Nasser K AltorkiDivision of Thoracic Surgery, Department of Cardiothoracic Surgery, Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY, United States.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

The surgical management of early-stage non-small cell lung cancer (NSCLC) has been reshaped by contemporary randomized data supporting lung-sparing approaches in carefully selected patients. CALGB/Alliance 140503, a multicenter phase III trial, compared sublobar resection (wedge or segmentectomy) with lobectomy for peripheral, clinically node-negative NSCLC ≤2 cm, randomizing patients only after rigorous intraoperative nodal assessment. Sublobar resection proved noninferior to lobectomy with respect to disease-free survival, with comparable overall survival and recurrence patterns. Alongside other important randomized trials like JCOG 0802/WJOG 4607L, sublobar resection has now been established as an acceptable - and for some patients preferable - strategy for stage IA (≤ 2 cm) NSCLC. Beyond its primary results, CALGB 140503 has generated a series of secondary and exploratory analyses that continue to refine day-to-day clinical decision-making. This mini-review aims to synthesize the current state of insights from this trial, highlighting ongoing controversies and key gaps for future investigation that will further optimize the management of early-stage NSCLC.

Indexed as

CALGB 140503early-stage lung cancerlobectomylung cancersublobar lung resection

Identifiers

PMID42038383
PMCPMC13106461

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.