Evidence map›Paper›PMID 41609824›Full record

ArticleJAMA network open2026

Global Assessment of COVID-19 Mortality Displacement From 2020 to 2024.

Xiyin Chen, Edward Ye, Benjamin John Cowling, David Makram Bishai

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Editorial: Recently Identified Global Trends in Cancer Incidence and Mortality and Modifiable Cancer Risk Factors.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
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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

4 authors.

Xiyin ChenSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Edward YeSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Benjamin John CowlingSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
David Makram BishaiSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The COVID-19 pandemic disrupted long-term mortality declines. Preliminary 2024 data indicate a return to prepandemic trends, but part of this reduction may reflect mortality displacement, in which frail or high-risk individuals died earlier than they otherwise would have during the pandemic, possibly leading to temporarily fewer deaths in subsequent years. Objective: To estimate global all-cause mortality trends during and after COVID-19 and assess the association of mortality displacement with mortality declines seen in 2023 and 2024. Design, Setting, and Participants: This retrospective cross-national, cross-sectional time-series study assessed mortality data from January 2015 to December 2024, with January 2015 to December 2019 serving as the prepandemic baseline for country-specific, age-adjusted linear projections of expected mortality. Countries were included with high-quality national mortality reporting from the Human Mortality Database Short-Term Mortality Fluctuations. Total populations for each country were stratified by sex and age (0-14 years, 15-64 years, 65-74 years, 75-84 years, and ≥85 years). Exposures: The COVID-19 pandemic years (2020-2022 or 2020-2023) and postpandemic years (2023-2024 or 2024 alone), relative to a 2015-to-2019 prepandemic baseline. Main Outcomes and Measures: Excess mortality is defined as actual minus expected mortality, in which expected deaths were projected from prepandemic (2015-2019) data using an overdispersed Poisson regression model. Mortality displacement was defined as a statistically significant postpandemic mortality deficit in 2023 and 2024 (or in 2024) following a positive excess mortality during the 2020-2022 (or 2020-2023) pandemic period. To quantify the magnitude of mortality displacement, the mortality displacement ratio was defined as the ratio of the cumulative postpandemic deficit to the cumulative pandemic-period excess. Results: This study included 352 182 284 deaths across 34 countries from 2015 to 2024, with a median (IQR) 2020 population composition of 50.75% (50.33%-51.44%) female and 19.64% (17.74%-20.64%) aged 65 years or older. Statistically significant mortality displacement was detected in 3 of 34 countries (Greece: 10% [95% CI, 4%-15%], Latvia: 21% [95% CI, 14%-28%], and Poland: 21% [95% CI, 17%-25%]), predominantly among adults aged 85 years or older and in strata in the highest quintile of COVID-19-era excess mortality. In 2024, the US returned to its prepandemic pattern of stable mortality, with an excess mortality rate of 3 (95% CI, -2 to 7) per 100 000. In contrast, most European countries had not yet resumed their prepandemic trajectories, exhibiting excess mortality rates ranging from 11 (95% CI, 3-18) per 100 000 in France to 115 (95% CI, 94-135) per 100 000 in Lithuania. Conclusions and Relevance: In this cross-sectional study of 34 countries, postpandemic mortality declines were rarely associated with mortality displacement; most European countries had not returned to their prepandemic mortality trajectories by 2024. These results suggest that pandemic strategies should prioritize population-wide protection and highlight the need to understand why so many European countries have failed to resume their pre-COVID-19 pattern of mortality decline.

Indexed as

COVID-19Global HealthMortalityAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMaleMiddle Aged

Identifiers

PMID41609824
PMCPMC12856679

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.