Evidence map›Paper›PMID 41674629›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Re-classification and Weighting of Multiple Causes of Death: US Death Certificates 2003-2023.

Michael Levitt, Ben Marten, Gal Oren, John P A Ioannidis

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Michael LevittDepartment of Structural Biology, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-8414-7397
Ben MartenMortality.Watch, St. Petersburg, Florida, USA.
Gal OrenDepartment of Structural Biology, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-8831-5423
John P A IoannidisMeta-Research Innovation Center at Stanford (METRICS), Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0003-3118-6859

Funding

Emergent Properties of Complex Systems: From Atoms to Macromolecules; from Humans to SocietiesR35GM122543 · NIGMS · STANFORD UNIVERSITY · PI MICHAEL LEVITT · 2017 to 2026
$5.1M
Data science tools to identify robust exposure-phenotype associations for precision medicineR01ES032470 · NIEHS · HARVARD MEDICAL SCHOOL · PI MANRAI, ARJUN KUMAR, PATEL, CHIRAG J. · 2021 to 2025
$3.5M
NIEHS NIH HHS R01 ES032470NIGMS NIH HHS R35 GM122543
6 · The paper itself

Abstract

Death certificates record causes of death as reported by certifiers (Entity Axis) and as standardized by mortality coding rules (Record Axis). Conventional mortality statistics then reduce these to a single underlying cause, ignoring other contributing conditions; weighting schemes can instead distribute the mortality burden across all listed causes. We evaluated the impact of re-classification from Entity to Record axis and weighting across all 56,986,831 US death certificates from 2003-2023, mapping ICD-10 codes to 14 broad disease categories and testing three weighting schemes: W1 (50% weight to the underlying cause, 50% shared equally among contributing causes), W2 (equal weighting across all causes), and W2A (equal weighting at the ICD-10 code level). Entity and Record Axes agreed on underlying cause in 48,313,403 deaths (84.8%) by broad disease category and in 39,260,709 deaths (68.9%) by ICD-10 code (Supplementary Tables S5A, S5B); concordance reached 70.4% when using 3-character rather than 4-character ICD-10 categories. Re-classification markedly increased COVID-19 deaths (+92%) and Transport deaths (+43%) while markedly decreasing Other External Causes (-54%). Weighting substantially altered death burden attribution: COVID-19 (-44-63%) and Falls (-46-66%) decreased, Other External causes more than tripled (+204-254%), and deviations from unweighted counts were more pronounced with W2 and W2A than with W1. Weighting also brought disease-category counts closer to Entity Axis values and restored Respiratory seasonality patterns suppressed during the pandemic years. Systematic differences between reported and re-classified causes of death, and the choice of weighting scheme, profoundly alter disease burden estimates for several causes, with major implications for resource allocation and public health priorities.

Indexed as

cause of deathCOVID-19death certificatemortalityvital statistics

Identifiers

PMID41674629
PMCPMC12889793

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.