Evidence map›Paper›PMID 27806080›Full record

ArticlePloS one2016

Predicting the Mortality Benefit of CT Screening for Second Lung Cancer in a High-Risk Population.

C Matthew Kinsey, Katharine L Hamlington, Jacqueline O'Toole, Renee Stapleton, Jason H T Bates

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Prediction of lung cancer risk based on age and smoking history.Computer methods and programs in biomedicine · 2022
    Article
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

5 authors at 1 institution in 1 country.

C Matthew KinseyPulmonary and Critical Care Division, University of Vermont College of Medicine, Burlington, Vermont, United States of America.
Katharine L HamlingtonPulmonary and Critical Care Division, University of Vermont College of Medicine, Burlington, Vermont, United States of America.
Jacqueline O'TooleDepartment of Medicine, University of Vermont College of Medicine, Burlington, Vermont, United States of America.
Renee StapletonPulmonary and Critical Care Division, University of Vermont College of Medicine, Burlington, Vermont, United States of America.
Jason H T BatesPulmonary and Critical Care Division, University of Vermont College of Medicine, Burlington, Vermont, United States of America.
University of Vermont · US

Funding

Multidisciplinary Training in Lung BiologyT32HL076122 · NHLBI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI IRVIN, CHARLES G, POYNTER, MATTHEW E · 2004 to 2023
$6.1M
CT Characteristics of Emphysema for Evaluation of Pulmonary NodulesK23HL133476 · NHLBI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI KINSEY, CHARLES MATTHEW · 2016 to 2021
$933k
NHLBI NIH HHS K23 HL133476NHLBI NIH HHS T32 HL076122
6 · The paper itself

Abstract

Patients who survive an index lung cancer (ILC) after surgical resection continue to be at significant risk for a metachronous lung cancer (MLC). Indeed, this risk is much higher than the risk of developing an ILC in heavy smokers. There is currently little evidence upon which to base guidelines for screening at-risk patients for MLC, and the risk-reward tradeoffs for screening this patient population are unknown. The goal of this investigation was to estimate the maximum mortality benefit of CT screening for MLC. We developed a computational model to estimate the maximum rates of CT detection of MLC and surgical resection to be expected in a given population as a function of time after resection of an ILC. Applying the model to a hypothetical high-risk population suggests that screening for MLC within 5 years after resection of an ILC may identify only a very small number of treatable cancers. The risk of death from a potentially resectable MLC increases dramatically past this point, however, suggesting that screening after 5 years is imperative. The model also predicts a substantial detection gap for MLC that demonstrates the benefit to be gained as more sensitive screening methods are developed.

Indexed as

AgedAged, 80 and overEarly Detection of CancerFemaleHumansLung NeoplasmsMaleMiddle AgedModels, TheoreticalNeoplasms, Second PrimaryPrognosisSmokingTomography, X-Ray Computed

Identifiers

PMID27806080
PMCPMC5091818
OpenAlexW2548639545

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.