Evidence map›Paper›PMID 33237338›Full record

ArticleJournal of biological physics2020

Physical models of infant mortality: implications for defects in biological systems.

Alex Bois, Eduardo M García-Roger, Elim Hong, Stefan Hutzler, Ali Irannezhad, Abdelkrim Mannioui, Peter Richmond, Bertrand M Roehner, Stéphane Tronche

Abstract read
In one paragraph

Article in Journal of biological physics, 2020. 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
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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

9 authors.

Alex BoisAquatic Facility, Pierre and Marie Curie Campus, Sorbonne University, Paris, France.
Eduardo M García-RogerInstitut Cavanilles de Biodiversitat I Biologia Evolutiva, University of València, València, Spain.
Elim HongNeuroscience Laboratory, Sorbonne University and INSERM (National Institute for Health and Medical Research), Paris, France.
Stefan HutzlerSchool of Physics, Trinity College Dublin, Dublin, Ireland. stefan.hutzler@tcd.ie.ORCID 0000-0003-0743-1252
Ali IrannezhadSchool of Physics, Trinity College Dublin, Dublin, Ireland.
Abdelkrim ManniouiAquatic Facility, Pierre and Marie Curie Campus, Sorbonne University, Paris, France.
Peter RichmondSchool of Physics, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0001-5796-735X
Bertrand M RoehnerInstitute for Theoretical and High Energy Physics (LPTHE), Pierre and Marie Curie campus, Sorbonne University, Centre de la Recherche Scientifique (CNRS), Paris, France.
Stéphane TroncheAquatic Facility, Pierre and Marie Curie Campus, Sorbonne University, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliability engineering concerned with failure of technical inanimate systems usually uses the vocabulary and notions of human mortality, e.g., infant mortality vs. senescence mortality. Yet, few data are available to support such a parallel description. Here, we focus on early-stage (infant) mortality for two inanimate systems, incandescent light bulbs and soap films, and show the parallel description is clearly valid. Theoretical considerations of the thermo-electrical properties of electrical conductors allow us to link bulb failure to inherent mechanical defects. We then demonstrate the converse, that is, knowing the failure rate for an ensemble of light bulbs, it is possible to deduce the distribution of defects in wire thickness in the ensemble. Using measurements of lifetimes for soap films, we show how this methodology links failure rate to geometry of the system; in the case presented, this is the length of the tube containing the films. In a similar manner, for a third example, the time-dependent death rate due to congenital aortic valve stenosis is related to the distribution of degrees of severity of this condition, as a function of time. The results not only validate clearly the parallel description noted above, but also point firmly to application of the methodology to humans, with the consequent ability to gain more insight into the role of abnormalities in infant mortality.

Indexed as

Infant MortalityHumansInfantInfant, NewbornModels, BiologicalAortic valve stenosisCongenital malformationsDefect distributionsFailure ratesInfant mortalitySoap film lifetime experiments

Identifiers

PMID33237338
PMCPMC7719151

What OpenQuestion holds

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Registered trials

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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.