Evidence map›Paper›PMID 33323364›Full record

ReviewBMJ open respiratory research2020

Democratic and ethical problem of lung cancer screening: exclusion of true high-risk populations. Can it be fixed? Yes.

Oluf Dimitri Røe

Abstract readReview
In one paragraph

Review in BMJ open respiratory research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Review
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

1 author.

Oluf Dimitri RøeDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway olufdroe@yahoo.no.ORCID 0000-0002-4870-5822

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Screening a population for a potentially deadly disease, the ultimate goal must be to prevent morbidity and mortality from this disease for the whole population. Unlike breast cancer or cervical cancer screening, where all women are screened after a certain age, CT screening for lung cancer has been based on selection of putative high-risk individuals based on age and smoking cut-off values. The type of selection used leaves too many high-risk individuals behind. The solution is to use only validated risk prediction models for selection.

Indexed as

Lung NeoplasmsUterine Cervical NeoplasmsEarly Detection of CancerFemaleHumansMass ScreeningRisk Factorslung cancertobacco and the lung

Identifiers

PMID33323364
PMCPMC7745524

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.