Article in Research on aging, 2022. 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
0.1field-weighted citation impact, top 48% 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, 1 citations in OpenAlex.
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 at 5 institutions in 1 country.
Lien T QuachVA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA.ORCID 0000-0002-8623-4881
Kelly ChoVA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA.
Jane A DriverVA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA.
Rachel WardVA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA.
Avron SpiroVA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA.
Elizabeth DuganDepartment of Gerontology, The University of Massachusetts Boston, MA, USA.
Michael J GazianoVA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA.
Luc DjousseVA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA.
James L RudolphProvidence VA Medical Center, Providence, RI, USA.
David R GagnonVA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA.
Brigham and Women's Hospital · USBrown University · USHarvard University · USUniversity of Massachusetts Boston · USVA Boston Healthcare System · US
Funding
TUFTS--FIELDINGP30AG031679 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI SHALENDER BHASIN · 2008 to 2026
$23.9M
Technique Development CoreP2CHD065702 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GOODWIN, MD, JAMES S. · 2015 to 2019
$5.2M
Center for Rehabilitation Research Using Large DatasetsR24HD065702 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI OTTENBACHER, KENNETH J. · 2010 to 2014
We studied male centenarian Veterans using VA health care to understand the impact of social characteristics on their annual mortality rate, adjusting for prevalent health conditions. This longitudinal study used VA Electronic Health Record data from 1997 to 2012 (
Indexed as
VeteransAged, 80 and overCentenariansDelivery of Health CareFemaleHumansLongitudinal StudiesMaleMarital StatusUnited StatesUnited States Department of Veterans Affairscentenarianshealthmarital statusmortalityveterans
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.
Social Characteristics, Health, and Mortality Among Male Centenarians Using Veterans Affairs (VA) Health Care. · full record | OpenQuestion