Evidence map›Paper›PMID 34501665›Full record

ArticleInternational journal of environmental research and public health2021

Incidence and Prevalence Analysis of Non-Small-Cell and Small-Cell Lung Cancer Using Administrative Data.

Andrea Ricotti, Veronica Sciannameo, William Balzi, Andrea Roncadori, Paola Canavese, Arianna Avitabile, Ilaria Massa, Paola Berchialla

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Use of PD-1/PD-L1 inhibitors in non-small cell lung cancer in elderly patients: a meta-analysis and systematic review of randomized clinical trials.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Pooled it
  2. Adoptive cell therapy in lung cancer: progress, challenges, and prospects.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Immune cell engagers in lung cancer.Frontiers in immunology · 2026
    Review
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  8. 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

8 authors at 4 institutions in 1 country.

Andrea RicottiDepartment of Public Health and Pediatric Sciences, University of Torino, 10100 Torino, Italy.
Veronica SciannameoUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy.ORCID 0000-0002-0499-0131
William BalziIRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.
Andrea RoncadoriIRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0002-0356-9273
Paola CanaveseRoche S.p.A, 20900 Monza, Italy.
Arianna AvitabileRoche S.p.A, 20900 Monza, Italy.
Ilaria MassaIRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0003-1388-3175
Paola BerchiallaDepartment of Clinical and Biological Sciences, University of Torino, 10100 Torino, Italy.ORCID 0000-0001-5835-5638
Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori · ITRoche (Italy) · ITUniversity of Padua · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment of lung cancer depends on the stage of the tumor and the histological type. In recent years, the histological confirmation of lung non-small-cell lung cancer has become crucial since the availability of selective target therapeutic approaches. The aim of the study was to develop a validated procedure to estimate the incidence and prevalence of non-small-cell and small-cell lung cancer from healthcare administrative data. A latent class model for categorical variables was applied. The following observed variables were included in the analysis: ICD-9-CM codes in the Hospital Discharge Registry, ATC codes of medications dispensed present in the Drugs Prescriptions Registry, and the procedure codes in the Outpatient Registry. The proportion of non-small-cell lung cancer diagnoses was estimated to be 85% of the total number of lung cancer on the cohort of incident cases and 89% on the cohort of prevalent cases. External validation on a cohort of 107 patients with a lung cancer diagnosis and histological confirmation showed a sensitivity of 95.6% (95%CI: 89-98.8%) and specificity of 94.1% (95%CI: 71.3-99.9%). The procedure is an easy-to-use tool to design subpopulation-based studies on lung cancer and to better plan resource allocation, which is important since the introduction of new targeted therapies in non-small-cell lung carcinoma.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsSmall Cell Lung CarcinomaHumansIncidencePrevalenceincidencenon-small-cell lung cancersmall-cell lung cancer

Identifiers

PMID34501665
PMCPMC8431612
OpenAlexW3198524587

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.