ArticleScientific data2026
Cause-of-death data series to monitor cause-specific mortality across time and space.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
7 authors.
Funding
Abstract
Cause-specific mortality provides useful clues regarding the driving forces behind mortality trends in high income countries. Nevertheless, conventional data sources to measure cause-specific mortality trends are affected by recurring changes in the International Classification of Diseases (ICD). They also lack the degree of detail needed to construct consistent time series, at least for the periods before implementation of the 10
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Registered trials
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.