Evidence map›Paper›PMID 31435182›Full record

ArticleNorth American actuarial journal : NAAJ2018

Manual and Automated Procedures for Compiling a Very Large Sample of Centenarian Pedigrees.

Giacomo Nebbia, Lisa Nussbaum, Annie Helmkamp, Stacy Andersen, Thomas Perls, Paola Sebastiani

Open access · greenAbstract read
In one paragraph

Article in North American actuarial journal : NAAJ, 2018. 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, top 84% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

6 authors at 3 institutions in 1 country.

Giacomo NebbiaIntelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA.
Lisa NussbaumVeteran Healthcare System, Boston, MA, USA.
Annie HelmkampNew England Centenarian Study, Geriatrics Section, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Stacy AndersenNew England Centenarian Study, Geriatrics Section, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Thomas PerlsNew England Centenarian Study, Geriatrics Section, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Paola SebastianiDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Boston University · USUniversity of Pittsburgh · USVA Boston Healthcare System · US

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI PAOLA SEBASTIANI · 2004 to 2026
$102.6M
Effect of non genetic factors on genetic signatures of complex traitsR21HL114237 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI SEBASTIANI, PAOLA · 2012 to 2014
$480k
NHLBI NIH HHS R21 HL114237NIA NIH HHS U19 AG023122
6 · The paper itself

Abstract

A large portion of the baby boomer population will live beyond the age of 90 years and entitlement programs and various insurance products have thusly become interested in longevity risk. Beyond cohort life table predictions, actuaries have little to go on in determining which individuals or portions of populations are at increased risk of living to 90 or 100 or even older. We and others have noted strong familial risk for living beyond the oldest one percentile of survival and we developed an algorithm that uses information about relatives' longevity to compute the chance of an individual surviving to extreme old age. An important step of this work is to compile large samples of pedigrees with and without long lived family members. Here, we describe our process of hand-curation of centenarian pedigrees and software that we have developed for the automated construction of such pedigrees using internet-based resources that can support the manual process.

Indexed as

centenarianshuman longevitymultigeneration pedigreerecord linkage

Identifiers

PMID31435182
PMCPMC6703835
OpenAlexW2893619110

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.