Evidence map›Paper›PMID 41766197›Full record

ArticleScandinavian journal of public health2026

Excess mortality is not self-interpreting: Baseline choice as a governance issue in public health analytics.

Jörn Klein

Abstract read
In one paragraph

Article in Scandinavian journal of public health, 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

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

1 author.

Jörn KleinDepartment of Nursing and Health Sciences, University of South-Eastern Norway, Porsgrunn, Norway.ORCID 0000-0002-1803-4167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interpretation of excess mortality depends critically on baseline choice. This commentary examines the recent debate on all-cause mortality in Norway in 2024 and argues that it reflects a conflation of two distinct purposes: real-time surveillance using updated baselines and assessment of whether mortality has returned to the pre-pandemic improvement trajectory. These correspond to different estimands and are not interchangeable. Baseline redefinition has predictable inferential and communicative consequences, particularly in public-facing outputs. I argue that the main risk lies not in modeling choices themselves, but in insufficiently explicit communication. Transparent reporting with clearly labeled baselines is essential to avoid interpretive drift.

Indexed as

MortalityPublic HealthPublic Health SurveillanceData AnalyticsHumansNorwayall-cause mortality surveillancebaseline selectionExcess mortalitypublic health analyticsrisk communication

Identifiers

PMID41766197
PMCPMC13176472

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.