Evidence map›Paper›PMID 17588350›Full record

ReviewCurrent oncology reports2007

Lung cancer screening.

Peter J Mazzone, Tarek Mekhail

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. [Systematic errors in clinical studies : A comprehensive survey].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2017
    Review
  3. Review
  4. Article
  5. Article
  6. 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

2 authors.

Peter J MazzoneDepartment of Pulmonary, Allergy, and Critical Care Medicine, The Cleveland Clinic Foundation, Cleveland, OH 44195, USA. mazzonp@ccf.org
Tarek Mekhail

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The result of a lung cancer screening program should be fewer lung cancer-specific deaths in the screened population. Studies evaluating chest imaging as a screening tool for lung cancer have not shown a reduction in lung cancer-specific mortality to date. The ability of institutions using chest imaging to meet the criteria for successful screening programs has also been debated. Contentious issues include the presence of an overdiagnosis bias, the ability to find preclinical disease at a curable point in time, the amount of pseudodisease identified, and the cost-effectiveness of screening programs. Current guidelines remain vague as randomized trials are being completed and technologic advances are occurring. The ultimate face of a successful lung cancer screening program is yet to be defined.

Indexed as

Mass Chest X-RayMass ScreeningBiasCost-Benefit AnalysisDiagnostic ImagingHumansLung NeoplasmsPractice Guidelines as TopicPredictive Value of TestsRisk FactorsSurvival Rate

Identifiers

What OpenQuestion holds

Textmetadata
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.