Evidence map›Paper›PMID 41976389›Full record

ArticleCancers2026

Do We Need a New Diagnostic Model for Lung Cancer-Are We Ready? A Narrative Review of European Rapid Diagnostic Programs and an Operational Unified FTC-LCU Model.

Joanna Maksymowicz-Jaroszuk, Lukasz Minarowski, Robert Marek Mroz

Abstract read
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

3 authors.

Joanna Maksymowicz-Jaroszuk2nd Department of Lung Diseases, Lung Cancer and Internal Diseases, University Teaching Hospital, 15-540 Bialystok, Poland.
Lukasz Minarowski2nd Department of Lung Diseases, Lung Cancer and Internal Diseases, University Teaching Hospital, 15-540 Bialystok, Poland.ORCID 0000-0002-2536-3508
Robert Marek Mroz2nd Department of Lung Diseases, Lung Cancer and Internal Diseases, University Teaching Hospital, 15-540 Bialystok, Poland.ORCID 0000-0002-5826-7395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer (LC) remains the leading cause of cancer-related mortality worldwide. Survival outcomes are strongly stage-dependent. Many patients are diagnosed at advanced stages due to pre-clinical and diagnostic delays. While advances in imaging, bronchoscopic techniques, molecular diagnostics, and systemic therapies have improved individualized treatment, system-level delays continue to limit their impact. AIM OF THE STUDY: The aim of this narrative review is a synthesis with an implementation-oriented framework proposal. Part I synthesizes the peer-reviewed literature, Part II presents an operational framework integrating a Fast Trac Clinic (FTC) and a network of Lung Cancer Units (LCUs) including proposed turnaround-time (TAT) goals.

methodsA narrative review of the literature of selected European policy documents addressing diagnostic delays, rapid-access lung cancer pathways, and coordinated care models was conducted.

resultsEuropean models demonstrate that structured referral criteria, centralized coordination, and predefined interval targets can achieve the first specialist assessment within 7-10 days and the completion of diagnostics within 21-28 days in optimized settings. Key determinants of timeliness include: direct primary care referral, parallel diagnostic processes, prioritized pathology and molecular testing, and multidisciplinary team (MDT) assessment. We propose operational TAT targets for chest CT, PET-CT, histopathology, NGS, PFTs, and MDT decision-making.

conclusionsReducing avoidable diagnostic and therapeutic delays in LC requires a coordinated, system-level approach. A standardized FTC-LCU pathway with explicit TAT benchmarks, multidisciplinary governance, and digital support infrastructure may improve diagnostic efficiency, increase the proportion of patients treated at earlier stages, and enhance patient experience. Prospective evaluation of implementation impact on stage distribution and survival is advised.

Indexed as

coordinated carediagnostic delayEuropefast track cliniclung cancerlung cancer unitmultidisciplinary teamrapid access clinictumor boardturnaround time

Identifiers

PMID41976389
PMCPMC13072095

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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.