Evidence map›Paper›PMID 30252892›Full record

ArticlePloS one2018

Non-parametric estimation of survival in age-dependent genetic disease and application to the transthyretin-related hereditary amyloidosis.

Flora Alarcon, Violaine Planté-Bordeneuve, Malin Olsson, Grégory Nuel

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. 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
0.7field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  5. Genetic, structural, and functional characterization of POLE polymerase proofreading variants allows cancer risk prediction.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
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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

4 authors at 4 institutions in 2 countries.

Flora AlarconMathématiques appliquées Paris 5 (MAP5) CNRS: UMR8145 - Université Paris Descartes - Sorbonne Paris Cité, Paris, France.ORCID 0000-0001-6427-4201
Violaine Planté-BordeneuveHôpital Universitaire Henri Mondor, Département de Neurologie Créteil, France.
Malin OlssonUmea university, Norrlands university hospital, NUS M31, Umea, Sweden.
Grégory NuelInstitute of Mathematics (INSMI), National Center for French Research (CNRS), Paris, France.
Centre National de la Recherche Scientifique · FRDélégation Paris 5 · FRInserm · FRUniversity Hospital of Umeå · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In genetic diseases with variable age of onset, survival function estimation for the mutation carriers as well as estimation of the modifying factors effects are essential to provide individual risk assessment, both for mutation carriers management and prevention strategies. In practice, this survival function is classically estimated from pedigrees data where most genotypes are unobserved. In this article, we present a unifying Expectation-Maximization (EM) framework combining probabilistic computations in Bayesian networks with standard statistical survival procedures in order to provide mutation carrier survival estimates. The proposed approach allows to obtain previously published parametric estimates (e.g. Weibull survival) as particular cases as well as more general Kaplan-Meier non-parametric estimates, which is the main contribution. Note that covariates can also be taken into account using a proportional hazard model. The whole methodology is both validated on simulated data and applied to family samples with transthyretin-related hereditary amyloidosis (a rare autosomal dominant disease with highly variable age of onset), showing very promising results.

Indexed as

Survival AnalysisAmyloid Neuropathies, FamilialBayes TheoremComputer SimulationGenetic Diseases, InbornGenotypeHumansKaplan-Meier EstimatePedigreePhenotypeProportional Hazards ModelsRisk AssessmentStatistics, Nonparametric

Identifiers

PMID30252892
PMCPMC6155453
OpenAlexW2549212445

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.