Evidence map›Paper›PMID 40191537›Full record

ArticleSurgical oncology insight2025

Optimal surveillance for detecting sarcoma lung metastasis - A systematic review.

Neha Malik, Kate Krause, Emily Z Keung, Heather G Lyu, Heather Lillemoe, Christopher Scally, Keila Torres, Kelly Hunt, Mary Austin, Christina L Roland

Abstract read
In one paragraph

Article in Surgical oncology insight, 2025. 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

10 authors.

Neha MalikDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Kate KrauseDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Emily Z KeungDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Heather G LyuDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Heather LillemoeDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Christopher ScallyDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Keila TorresDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Kelly HuntDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Mary AustinDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Christina L RolandDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
TRAINING OF ACADEMIC SURGICAL ONCOLOGISTST32CA009599 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Ashley M Holder, Jennifer A. Wargo · 1988 to 2026
$13.2M
NCI NIH HHS P30 CA016672NCI NIH HHS T32 CA009599
6 · The paper itself

Abstract

Introduction: Accurate diagnosis of lung metastasis for patients with soft tissue sarcoma (STS) can impact overall survival, but there is considerable variability in imaging utilized to detect metastasis. Chest x-ray (CXR) or computer tomography (CT) scan of the chest are the most common studies in current practice. Methods: A systematic literature search was performed. Databases were searched from inception to January 3, 2024. Articles were reviewed to determine if CXR or CT chest was associated with improved overall or recurrence-free survival in patients with STS. Articles were also reviewed for data on cost-effectiveness of CXR versus CT chest. The quality of evidence was assessed by the Critical Appraisal Skills Programme. Results: 259 abstracts were screened, and twenty-seven studies were selected for full-text review. Nine studies met all inclusion criteria. Seven studies included data on survival or recurrence rates and four included data on the cost of imaging modality. The seven studies all had conflicting results on the impact of CXR versus chest CT on survival and recurrence. The four studies that looked at cost found that CXR was more cost-effective, but in certain patients, screening with chest CT could be cost-effective. Conclusion: The literature defining the optimal surveillance method for lung metastases for patients with STS is limited. Most of the studies had a low quality of evidence due to study design and significant risk of bias. Randomized controlled trials are needed to further understand the best imaging modality for lung metastasis surveillance in this patient population.

Indexed as

CancerChest x-rayComputer tomographyImagingMetastasisSarcomaSurveillance

Identifiers

PMID40191537
PMCPMC11970918

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.