Evidence map›Paper›PMID 32995806›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Reductions in 2020 US life expectancy due to COVID-19 and the disproportionate impact on the Black and Latino populations.

Theresa Andrasfay, Noreen Goldman

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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
–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, 88 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Theresa AndrasfayLeonard Davis School of Gerontology, University of Southern California.
Noreen GoldmanOffice of Population Research, Princeton University.
Princeton University · USUniversity of Southern California · US

Funding

RESEARCH TRAINING IN GERONTOLOGYT32AG000037 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, EILEEN M CRIMMINS · 1985 to 2026
$13.2M
NIA NIH HHS T32 AG000037
6 · The paper itself

Abstract

COVID-19 has resulted in a staggering death toll in the US: over 215,000 by mid-October 2020, according to the Centers for Disease Control and Prevention. Black and Latino Americans have experienced a disproportionate burden of COVID-19 morbidity and mortality, reflecting persistent structural inequalities that increase risk of exposure to COVID-19 and mortality risk for those infected. We estimate life expectancy at birth and at age 65 for 2020, for the total US population and by race and ethnicity, using four scenarios of deaths - one in which the COVID-19 pandemic had not occurred and three including COVID-19 mortality projections produced by the Institute for Health Metrics and Evaluation. Our medium estimate indicates a reduction in US life expectancy at birth of 1.13 years to 77.48 years, lower than any year since 2003. We also project a 0.87-year reduction in life expectancy at age 65. The Black and Latino populations are estimated to experience declines in life expectancy at birth of 2.10 and 3.05 years, respectively, both of which are several times the 0.68-year reduction for whites. These projections imply an increase of nearly 40% in the Black-white life expectancy gap, from 3.6 to over five years, thereby eliminating progress made in reducing this differential since 2006. Latinos, who have consistently experienced lower mortality than whites (a phenomenon known as the Latino or Hispanic paradox), would see their more than three-year survival advantage reduced to less than one year.

Identifiers

PMID32995806
PMCPMC7523145
OpenAlexW3042830840

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.