Evidence map›Paper›PMID 40951787›Full record

ArticleJTO clinical and research reports2025

Meta-Analysis Exploring Tyrosine Kinase Inhibitor-Induced Weight Gain in Oncogene-Addicted NSCLC.

Ilaria Mariangela Scaglione, Alice Avancini, Serena Eccher, Anita Borsati, Luca Pasqualin, Giulia La Cava, Ilaria Trestini, Daniela Tregnago, Marco Sposito, Jessica Insolda and 4 more

Abstract read
In one paragraph

Article in JTO clinical and research reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
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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

14 authors.

Ilaria Mariangela ScaglioneSection of Oncology, Department of Engineering for Innovation Medicine (DIMI), University of Verona School of Medicine and Verona University Hospital Trust, Verona, Italy.
Alice AvanciniSection of Oncology, Department of Engineering for Innovation Medicine (DIMI), University of Verona School of Medicine and Verona University Hospital Trust, Verona, Italy.
Serena EccherSection of Oncology, Department of Engineering for Innovation Medicine (DIMI), University of Verona School of Medicine and Verona University Hospital Trust, Verona, Italy.
Anita BorsatiDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Luca PasqualinSection of Oncology, Department of Engineering for Innovation Medicine (DIMI), University of Verona School of Medicine and Verona University Hospital Trust, Verona, Italy.
Giulia La CavaDepartment of Medical Oncology, Campus Bio-Medico University of Rome, Rome, Italy.
Ilaria TrestiniDietetic Service, University and Hospital Trust (AOUI) of Verona, Verona, Italy.
Daniela TregnagoSection of Oncology, Department of Engineering for Innovation Medicine (DIMI), University of Verona School of Medicine and Verona University Hospital Trust, Verona, Italy.
Marco SpositoSection of Oncology, Department of Engineering for Innovation Medicine (DIMI), University of Verona School of Medicine and Verona University Hospital Trust, Verona, Italy.
Jessica InsoldaSection of Oncology, Department of Engineering for Innovation Medicine (DIMI), University of Verona School of Medicine and Verona University Hospital Trust, Verona, Italy.
Diana GiannarelliBiostatistical Unit, Comprehensive Cancer Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Michele MilellaSection of Oncology, Department of Engineering for Innovation Medicine (DIMI), University of Verona School of Medicine and Verona University Hospital Trust, Verona, Italy.
Sara PilottoSection of Oncology, Department of Engineering for Innovation Medicine (DIMI), University of Verona School of Medicine and Verona University Hospital Trust, Verona, Italy.
Lorenzo BelluominiSection of Oncology, Department of Engineering for Innovation Medicine (DIMI), University of Verona School of Medicine and Verona University Hospital Trust, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: For patients with oncogene-addicted NSCLC treated with tyrosine kinase inhibitors (TKIs), weight gain has recently gained attention as a frequent treatment-related effect. Identifying those TKIs more frequently associated with weight gain is crucial for further characterizing body composition-related modifications, deepening their metabolic impact, and guiding treatment decisions, considering the potential influence of weight gain on patients' quality of life and long-term outcomes. Methods: A systematic search was conducted across PubMed, Scopus, Cochrane, and meeting resources. A meta-analysis was conducted to quantify the magnitude of weight gain, and meta-regression was applied to explore the association between this side effect, and demographic and clinical parameters. Results: Among 7596 identified studies from January 2009 to December 2024, 18 pivotal trials reporting weight gain data were included in the final analysis, encompassing a total of 25 arms. Lorlatinib revealed the highest risk of treatment-induced weight gain [incidence 36%; 95% confidence interval (CI): 26%-46%; I Conclusions: Our findings confirmed the unique profile of lorlatinib regarding weight gain, regardless of patient characteristics. Considering the impressive prognostic horizons achievable with TKIs in oncogene-addicted NSCLC, adequate reporting in clinical trials, assessment and monitoring of weight gain, body composition modifications, and impact on quality of life should be prioritized, together with adequate lifestyle-based strategies for its management.

Indexed as

NSCLCOncogene-addictedTKIsWeight gain

Identifiers

PMID40951787
PMCPMC12423676

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.