Evidence map›Paper›PMID 40312394›Full record

ArticlePopulation health metrics2025

Improving the validity of estimates of mortality inequalities by education in England & Wales.

Gerry McCartney

Abstract readLetterComment
In one paragraph

Article in Population health metrics, 2025. 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

1 author.

Gerry McCartneyUniversity of Glasgow, Glasgow, Scotland, UK. Gerard.McCartney@glasgow.ac.uk.ORCID 0000-0001-6341-3521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health inequalities are an important societal injustice. Understanding their scale and trends, and how they compare internationally, is needed to inform policy and practice, and also in order to evaluate the impacts of different policies. Many studies comparing health inequality trends across Europe have used educational attainment as a means of ranking adult populations, but there have been challenges as a consequence of the educational attainment data being missing, or categorising a very large proportion of the total population into a single group. Janssen et al. have recognised this challenge and have proposed an innovative and helpful method to overcome the problems of missing data. Although these are useful improvements, they still leave > 80% of the population categorised in the same group for some years, limiting the validity of the inequality measure.

Indexed as

Educational StatusHealth Status DisparitiesMortalityAdultEnglandHumansReproducibility of ResultsSocioeconomic FactorsWales

Identifiers

PMID40312394
PMCPMC12046791

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.