Evidence map›Paper›PMID 39682176›Full record

ArticleCancers2024

A Bayesian Network Approach to Lung Cancer Screening: Assessing the Impact of Data Quantity, Quality, and the Combination of Data from Danish Electronic Health Records.

Florian van Daalen, Margrethe Høstgaard Bang Henriksen, Torben Frøstrup Hansen, Lars Henrik Jensen, Claus Lohman Brasen, Ole Hilberg, Martin Ask Klausholt Andersen, Elise Humerfelt, Leonard Wee, Inigo Bermejo

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Florian van DaalenDepartment of Radiation Oncology (MAASTRO), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands.ORCID 0000-0002-2229-8587
Margrethe Høstgaard Bang HenriksenDepartment of Oncology, Vejle University Hospital, 7100 Vejle, Denmark.ORCID 0000-0002-1245-8874
Torben Frøstrup HansenDepartment of Oncology, Vejle University Hospital, 7100 Vejle, Denmark.ORCID 0000-0001-7476-671X
Lars Henrik JensenDepartment of Oncology, Vejle University Hospital, 7100 Vejle, Denmark.ORCID 0000-0002-0020-1537
Claus Lohman BrasenInstitute of Regional Health Research, University of Southern Denmark, 5230 Odense, Denmark.ORCID 0000-0001-8654-2449
Ole HilbergInstitute of Regional Health Research, University of Southern Denmark, 5230 Odense, Denmark.ORCID 0000-0002-3075-3463
Martin Ask Klausholt AndersenThe Faculty of Health Sciences, University of Southern Denmark, 5230 Odense, Denmark.ORCID 0009-0004-1448-4330
Elise HumerfeltThe Faculty of Health Sciences, University of Southern Denmark, 5230 Odense, Denmark.ORCID 0009-0006-7279-5190
Leonard WeeDepartment of Radiation Oncology (MAASTRO), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands.ORCID 0000-0003-1612-9055
Inigo BermejoDepartment of Radiation Oncology (MAASTRO), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands.

Funding

Hede Nielsen Family Foundation n.a.Lilly and Herbert Hansen Foundation n.a.The Beckett Foundation n.a.The Dagmar Marshall Foundation n.a.The Danish National Research Center for Lung Cancer, Danish Cancer Society R198-A14299The Region of Southern Denmark n.a.The University of Southern Denmark n.a.
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

bayesian networksearly detectionlung cancermissing dataprediction modelsrisk stratificationscreening

Identifiers

PMID39682176
PMCPMC11640108

What OpenQuestion holds

Textmetadata
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.