Evidence map›Paper›PMID 30937431›Full record

Trial reportAnnals of oncology : official journal of the European Society for Medical Oncology2019

Prolonged lung cancer screening reduced 10-year mortality in the MILD trial: new confirmation of lung cancer screening efficacy.

U Pastorino, M Silva, S Sestini, F Sabia, M Boeri, A Cantarutti, N Sverzellati, G Sozzi, G Corrao, A Marchianò

Erratum issued 5 registry-linked trialsAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Annals of oncology : official journal of the European Society for Medical Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 5 registered trials, which are not on this map. Cited by 245 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
245citing papers in PubMed, 12 pooled it
–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.

NCT02837809 nacompletednot on this map

Early Lung Cancer Detection With Spiral Computed Tomography (CT), Positron Emission Tomography (PET) and Biomarkers: Randomized Trial in High Risk Individuals

TypeinterventionalSponsorFondazione IRCCS Istituto Nazionale dei Tumori, MilanoRan2005 to 2016Enrolled4,099ConditionsLung CancerArmsLow dose CT
NCT04503044 completednot on this mapstarted 2021, after this paper: background citation

Interstitial Lung Abnormalities--Qualitative Imaging Cohort Study in CT Lung Cancer Screening Population

TypeobservationalSponsorLahey ClinicRan2021 to 2021Enrolled1,703ConditionsInterstitial Lung Disease, IPFArmsRetrospective observational study
NCT05766046 naactive not recruitingnot on this mapstarted 2022, after this paper: background citation

Early Diagnosis of Lung Cancer of the Italian Pulmonary Screening Network (RISP): Comparative Analysis for the Use of Low Dose Computed Tomography and Promotion of Primary Prevention Interventions in Subjects at High Risk for Lung Cancer

TypeinterventionalSponsorUgo PastorinoRan2022 to 2026Enrolled7,324ConditionsLung Cancer, COPD (Chronic Obstructive Pulmonary Disease) With Acute Lower Respiratory Infection, Cardiovascular DiseasesArmsearly lung cancer detection, blood test
NCT06956040 narecruitingnot on this mapstarted 2025, after this paper: background citation

Involvement of General Practitioners in Lung Cancer Screening

TypeinterventionalSponsorAssistance Publique - Hôpitaux de ParisRan2025 to 2027Enrolled500ConditionsLung CancerArmsLow-dose computed tomography of the chest
NCT07104630 phase2recruitingnot on this mapstarted 2026, after this paper: background citation

Pulmonary Rehabilitation in Advanced Lung Cancer Survivors

TypeinterventionalSponsorCase Comprehensive Cancer CenterRan2026 to 2028Enrolled85ConditionsNon-small Cell Lung Cancer Stage III, Non-small Cell Lung Cancer Stage IV, Non-small Cell Lung Cancer, Lung CancerArmsPulmonary Rehabilitation (PR), No intervention: Usual care
3 · Its place in the literature

Who cites it

245 citing papers in PubMed, 12 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Lung Cancer Screening With Low-Dose Computed Tomography.Deutsches Arzteblatt international · 2023
    Pooled it
  9. Pooled it
  10. Pooled it
  11. Guideline
  12. Guideline
  13. Trial
  14. Lung cancer screening primer: Key information for primary care providers.Canadian family physician Medecin de famille canadien · 2021
    Trial
  15. Trial
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

185 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

U PastorinoUnit of Thoracic Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan. Electronic address: ugo.pastorino@istitutotumori.mi.it.
M SilvaUnit of Thoracic Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan; Section of Radiology, Unit of Surgical Sciences, Department of Medicine and Surgery (DiMeC), University of Parma, Parma.
S SestiniUnit of Thoracic Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan.
F SabiaUnit of Thoracic Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan.
M BoeriTumour Genomics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan.
A CantaruttiDivision of Biostatistics, Department of Statistics and Quantitative Methods, Epidemiology and Public Health, University of Milano-Bicocca, Milan.
N SverzellatiSection of Radiology, Unit of Surgical Sciences, Department of Medicine and Surgery (DiMeC), University of Parma, Parma.
G SozziTumour Genomics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan.
G CorraoDivision of Biostatistics, Department of Statistics and Quantitative Methods, Epidemiology and Public Health, University of Milano-Bicocca, Milan.
A MarchianòDepartment of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Funding

Identifying non-coding RNAs for early detection and prevention of lung cancerU01CA166905 · NCI · OHIO STATE UNIVERSITY · PI CROCE, CARLO M, PASS, HARVEY IRA · 2013 to 2017
$4.5M
NCI NIH HHS U01 CA166905
6 · The paper itself

Abstract

backgroundThe National Lung Screening Trial showed that lung cancer (LC) screening by three annual rounds of low-dose computed tomography (LDCT) reduces LC mortality. We evaluated the benefit of prolonged LDCT screening beyond 5 years, and its impact on overall and LC specific mortality at 10 years.

designThe Multicentric Italian Lung Detection (MILD) trial prospectively randomized 4099 participants, to a screening arm (n = 2376), with further randomization to annual (n = 1190) or biennial (n = 1186) LDCT for a median period of 6 years, or control arm (n = 1723) without intervention. Between 2005 and 2018, 39 293 person-years of follow-up were accumulated. The primary outcomes were 10-year overall and LC specific mortality. Landmark analysis was used to test the long-term effect of LC screening, beyond 5 years by exclusion of LCs and deaths that occurred in the first 5 years.

resultsThe LDCT arm showed a 39% reduced risk of LC mortality at 10 years [hazard ratio (HR) 0.61; 95% confidence interval (CI) 0.39-0.95], compared with control arm, and a 20% reduction of overall mortality (HR 0.80; 95% CI 0.62-1.03). LDCT benefit improved beyond the 5th year of screening, with a 58% reduced risk of LC mortality (HR 0.42; 95% CI 0.22-0.79), and 32% reduction of overall mortality (HR 0.68; 95% CI 0.49-0.94).

conclusionsThe MILD trial provides additional evidence that prolonged screening beyond 5 years can enhance the benefit of early detection and achieve a greater overall and LC mortality reduction compared with NLST trial. CLINICALTRIALS.GOV IDENTIFIER: NCT02837809.

Indexed as

AgedCarcinoma, Non-Small-Cell LungEarly Detection of CancerFemaleFollow-Up StudiesHumansItalyLung NeoplasmsMaleMiddle AgedPrognosisProspective StudiesSmall Cell Lung CarcinomaSurvival Rateearly detectionlow-dose computed tomographylung cancermortalityoverdiagnosisscreening

Identifiers

PMID30937431
PMCPMC6637372

What OpenQuestion holds

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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.