SynthesisFrontiers in public health2026
Effectiveness and implementation challenges of mobile low-dose computed tomography units for early lung cancer detection: a systematic review.
Synthesis in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: A mobile low-dose computed tomography (LDCT) unit is an effective strategy for early lung cancer detection, particularly in high-risk populations affected by social and healthcare disparities. However, existing reviews are limited by only focusing on diagnostic outcomes. This study aimed to evaluate the characteristics, effectiveness, and key influencing factors of mobile LDCT-based unit interventions. Methods: A literature search was conducted from the inception of each bibliographic database to March 1, 2025. Two independent reviewers performed the study selection, quality assessment, and data extraction. Methodological quality was assessed via the Cochrane Risk of Bias 2 tool for randomized studies and the ROBINS-I tool for non-randomized studies. A qualitative synthesis was used to analyze intervention characteristics and effectiveness. Influencing factors were synthesized via the Consolidated Framework for Implementation Research (CFIR). Results: Eighteen studies were included. Suspected cases ranged 23-847 (detection 1.06-16.37%), with confirmed cases 2-107 (0.33-4.33%). Five studies demonstrated economic efficiency for the mobile LDCT-based unit, with early detection yielding favorable cost ratios (¥11,143-16,950 per case) and substantial savings over late-stage treatment. Financial analyses indicated positive returns (e.g., net present value = $1 M; internal rate of return = 34.6%). Screen-detected cases reduced treatment costs by 56% and reduced hospital stays by 70%. Influencing factors, categorized via the CFIR, included intervention characteristics ( Discussion: This review shows mobile LDCT-based units have the potential benefit for early lung cancer detection and economic efficiency, particularly for underserved populations by reducing access barriers. Future research should identify implementation factors and develop practical frameworks to optimize program delivery and impact. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251026810, Identifier CRD420251026810.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.