Evidence map›Paper›PMID 38547492›Full record

ArticleAmerican journal of public health2024

Excess Mortality Calculations to Assess the Impact of the COVID-19 Pandemic: Concepts and Methodological Issues.

Jan P Vandenbroucke, Neil Pearce

Abstract read
In one paragraph

Article in American journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Jan P VandenbrouckeJan P. Vandenbroucke and Neil Pearce are with the Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK. Jan P. Vandenbroucke is also with the Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark, and the Department of Clinical Epidemiology, Leiden University Medical Center, Netherlands.
Neil PearceJan P. Vandenbroucke and Neil Pearce are with the Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK. Jan P. Vandenbroucke is also with the Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark, and the Department of Clinical Epidemiology, Leiden University Medical Center, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We discuss some intriguing methodological aspects of excess mortality analyses, which have been widely used to describe the impact of the COVID-19 pandemic. We describe the main ways of presenting excess mortality: as a mortality rate (incidence rate) or as a percentage increase (relative risk or rate ratio). We discuss what should be regarded as the null value of excess mortality (i.e., when countries or regions can be judged as having fared equally well) and when age and sex standardization, adjustment for other determinants of the spread of a pandemic, or both is necessary. We discuss the level of detail by time and place and person that may be necessary. We note that an excess mortality comparison is essentially a difference-in-differences analysis. We conclude that, although one cannot rule out using excess mortality analyses for causal effect estimates, such analyses will remain most fruitful for generating hypotheses about both the efficiency of measures to curtail the pandemic and factors that cannot be influenced. Nevertheless, a judicious use of arguments and counterarguments can then lead to identifying best practices for various situations. (

Indexed as

COVID-19HumansMortalityPandemicsSARS-CoV-2

Identifiers

PMID38547492
PMCPMC11079831

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.