Evidence map›Paper›PMID 39392630›Full record

ArticleJAMA network open2024

Racial and Ethnic Disparities in Age-Specific All-Cause Mortality During the COVID-19 Pandemic.

Jeremy Samuel Faust, Benjamin Renton, Tasce Bongiovanni, Alexander Junxiang Chen, Karen Dorsey Sheares, Chengan Du, Utibe R Essien, Elena Fuentes-Afflick, Trent Haywood, Rohan Khera and 14 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Five-year cardiovascular outcomes following COVID-19-associated carditis.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
  5. Article
  6. Observational
  7. Article
  8. Trust and Health Equity-Lessons from the COVID- 19 Pandemic.Journal of general internal medicine · 2025
    Article
  9. Article
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

24 authors.

Jeremy Samuel FaustDepartment of Emergency Medicine, Mass General Brigham, Boston, Massachusetts.
Benjamin RentonOntos Analytics, Cambridge, Massachusetts.
Tasce BongiovanniUniversity of California, San Francisco School of Medicine, San Francisco.
Alexander Junxiang ChenUniversity of California, San Francisco School of Medicine, San Francisco.
Karen Dorsey ShearesDepartment of Pediatrics, Yale School of Medicine, New Haven, Connecticut.
Chengan DuYale New Haven Hospital Center for Outcomes Research and Evaluation, New Haven, Connecticut.
Utibe R EssienDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, California.
Elena Fuentes-AfflickUniversity of California, San Francisco School of Medicine, San Francisco.
Trent HaywoodKnowality, LLC, Chicago, Illinois.
Rohan KheraCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut.
Terris KingThe Grace Foundation, Baltimore, Maryland.
Shu-Xia LiYale New Haven Hospital Center for Outcomes Research and Evaluation, New Haven, Connecticut.
Zhenqiu LinYale New Haven Hospital Center for Outcomes Research and Evaluation, New Haven, Connecticut.
Yuan LuCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut.
Andrew D A MarshallDepartment of Emergency Medicine, Mass General Brigham, Boston, Massachusetts.
Chima D NdumeleDepartment of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.
Ijeoma OparaYale University School of Public Health.
Tina Loarte-RodriguezYale New Haven Hospital Center for Outcomes Research and Evaluation, New Haven, Connecticut.
Mitsuaki SawanoYale New Haven Hospital Center for Outcomes Research and Evaluation, New Haven, Connecticut.
Kekoa TaparraStanford University, Stanford, California.
Herman A TaylorMorehouse School of Medicine, Atlanta, Georgia.
Karol E WatsonDivision of Cardiology, David Geffen School of Medicine at UCLA, Los Angeles, California.
Clyde W YancyKnowality, LLC, Chicago, Illinois.
Harlan M KrumholzYale New Haven Hospital Center for Outcomes Research and Evaluation, New Haven, Connecticut.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Integrating Community Based Participatory Research and Machine Learning Methods to Predict Youth Substance Use Disorders for Urban Cities in New JerseyDP1DA058982 · NIDA · YALE UNIVERSITY · PI OPARA, IJEOMA · 2023 to 2024
$2.3M
Understanding the Role of Neighborhoods on Urban Youth's Substance Use and Mental Health: A Community-Based Substance Abuse Prevention ProjectDP5OD029636 · OD · YALE UNIVERSITY · PI OPARA, IJEOMA · 2020 to 2024
$2.2M
NCATS NIH HHS UL1 TR001863NIDA NIH HHS DP1 DA058982NIDA NIH HHS L60 DA054692NIH HHS DP5 OD029636
6 · The paper itself

Abstract

Importance: The end of the COVID-19 public health emergency (PHE) provides an opportunity to fully describe pandemic-associated racial and ethnic mortality disparities. Age-specific excess mortality differences have important downstream implications, especially in minoritized race and ethnicity populations. Objectives: To characterize overall and age-specific all-cause excess mortality by race and ethnicity during the COVID-19 PHE and assess whether measured differences reflected changes from prepandemic disparities. Design, Setting, and Participants: This cross-sectional study analyzed data of all US residents and decedents during the COVID-19 PHE, aggregated by observed race and ethnicity (at time of death) and age. Statistical analysis was performed from March 2020 to May 2023. Exposures: COVID-19 PHE period (March 2020 to May 2023). Main Outcomes and Measures: All-cause excess mortality (incident rates, observed-to-expected ratios) and all-cause mortality relative risks before and during the PHE. Results: For the COVID-19 PHE period, data for 10 643 433 death certificates were available; mean (SD) decedent age was 72.7 (17.9) years; 944 318 (8.9%) were Hispanic; 78 973 (0.7%) were non-Hispanic American Indian or Alaska Native; 288 680 (2.7%) were non-Hispanic Asian, 1 374 228 (12.9%) were non-Hispanic Black or African American, 52 905 (0.5%) were non-Hispanic more than 1 race, 15 135 (0.1%) were non-Hispanic Native Hawaiian or Other Pacific Islander, and 7 877 996 (74.1%) were non-Hispanic White. More than 1.38 million all-cause excess deaths (observed-to-expected ratio, 1.15 [95% CI, 1.12-1.18]) occurred, corresponding to approximately 23 million years of potential life lost (YPLL) during the pandemic. For the total population (all ages), the racial and ethnic groups with the highest observed-to-expected all-cause mortality ratios were the American Indian or Alaska Native (1.34 [95% CI, 1.31-1.37]) and Hispanic (1.31 [95% CI, 1.27-1.34]) populations. However, higher ratios were observed in the US population aged 25 to 64 years (1.20 [95% CI, 1.18-1.22]), greatest among the American Indian or Alaska Native (1.45 [95% CI, 1.42-1.48]), Hispanic (1.40 [95% CI, 1.38-1.42]), and Native Hawaiian or Other Pacific Islander (1.39 [95% CI, 1.34-1.44]) groups. In the total population aged younger than 25 years, the Black population accounted for 51.1% of excess mortality, despite representing 13.8% of the population. Had the rate of excess mortality observed among the White population been observed among the total population, more than 252 000 (18.3%) fewer excess deaths and more than 5.2 million (22.3%) fewer YPLL would have occurred. Conclusions and Relevance: In this cross-sectional study of the US population during the COVID-19 PHE, excess mortality occurred in all racial and ethnic groups, with disparities affecting several minoritized populations. The greatest relative increases occurred in populations aged 25 to 64 years. Documented differences deviated from prepandemic disparities.

Indexed as

COVID-19EthnicityHealth Status DisparitiesRacial GroupsAdolescentAdultAgedAged, 80 and overAge FactorsCause of DeathChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfant

Identifiers

PMID39392630
PMCPMC11581672

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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.