Evidence map›Paper›PMID 42444892›Full record

ArticleJournal of thoracic disease2026

Induction therapy of pralsetinib followed by conversion surgery for unresectable locally advanced non-small cell lung cancer with the rearranged during transfection (RET) fusion gene mutation: protocol for a single-arm phase II prospective trial (the SALVAGE-P trial).

Han-Yu Deng, Xiao-Ming Qiu, Lu Li, Xiao-Jun Tang, Qinghua Zhou

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
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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

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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

5 authors.

Han-Yu DengDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
Xiao-Ming QiuDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
Lu LiDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
Xiao-Jun TangDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
Qinghua ZhouDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Selective rearranged during transfection (RET) inhibitors have been approved as first-line treatment for locally advanced non-small cell lung cancer (NSCLC) harboring RET fusion gene mutations. Growing evidence shows that loco-regional therapy including salvage surgery may improve the prognosis of locally advanced NSCLC after induction therapy. Therefore, we initiated the SALVAGE-P trial to assess the safety and feasibility of induction selective RET inhibitors followed by conversion surgery in treating initially unresectable locally advanced NSCLC. Methods: This is a single-arm, phase II prospective study. Patients with treatment-naïve, unresectable locally advanced NSCLC (clinical stage IIIA, IIIB, and IIIC) harboring RET fusion gene mutations will be eligible for our study (N=25). Patients will receive induction therapy of pralsetinib (400 mg QD) for up to 6 months. If the primary tumor becomes resectable, participants will undergo surgical resection (lobectomy with systematic lymph node dissection). After surgery, participants will receive 4 cycles of pemetrexed (500 mg/m Discussion: The SALVAGE-P trial aims to assess the safety and feasibility of induction selective RET inhibitors followed by conversion surgery, which will begin in January 2026, with primary completion anticipated in December 2028. Trial Registration: This trial has been registered in the Chinese Clinical Trial Registry with a registration number of ChiCTR2600116415.

Indexed as

conversion surgerylocally advancedNon-small cell lung cancer (NSCLC)pralsetinibrearranged during transfection fusion (RET fusion)

Identifiers

PMID42444892
PMCPMC13358846

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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.