Evidence map›Paper›PMID 41565329›Full record

ArticleBMJ open2026

Mortality patterns in multimorbid populations: cross-sectional population-wide analysis of Czech national registry data, 2014-2023.

Bety Ukolova, Cosmo Strozza

Abstract read
In one paragraph

Article in BMJ open, 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

2 authors.

Bety UkolovaInterdisciplinary Centre on Population Dynamics, Syddansk Universitet, Odense, Denmark ukolovae@natur.cuni.cz.ORCID http://orcid.org/0009-0005-9222-3862
Cosmo StrozzaInterdisciplinary Centre on Population Dynamics, Syddansk Universitet, Odense, Denmark.ORCID http://orcid.org/0000-0001-8825-2971

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim is to (i) examine the evolution of (multi-)morbidity in Czechia, (ii) analyse changes in mortality by (multi-)morbidity between 2014 and 2023 and (iii) analyse factors driving mortality change in these subpopulations, using national health registry data, which is unique among countries of the former Eastern Bloc.

designCross-sectional population-wide analysis.

settingCzechia.

participantsAdult population aged 30 and above (n~7.5 million). OUTCOME MEASURES: 1-year period prevalence proportion by age, age-specific and disease-specific occurrence-exposure mortality rates and their coefficient of variation, contributions of age composition, multimorbidity composition and mortality rates to mortality change.

resultsBetween 2014 and 2023, the prevalence of no or single diseases remained stable at 55%, while complex multimorbidity patterns (3+ diseases) decreased, especially in the 60+ group (from 20% to 16%). Despite additional diagnoses being associated with elevated mortality, especially for those with diabetes and chronic obstructive pulmonary disease (COPD), mortality risks homogenised across (multi)morbid groups, and overall mortality declined (9 pp in neoplasm and COPD, 7 pp in cerebrovascular diseases and 3 pp in diabetes). This decline was primarily due to shifts in multimorbidity composition; without this, mortality in groups with cerebrovascular diseases, diabetes and COPD would have risen.

conclusionThe change in mortality over the past decade in Czechia among people with chronic diseases is mainly driven by shifts in multimorbidity composition, rather than pure effects of decline in mortality, contributing to diverging patterns of change between individuals with and without chronic conditions.

Indexed as

MortalityMultimorbidityAdultAgedAged, 80 and overCross-Sectional StudiesCzech RepublicDiabetes MellitusFemaleHumansMaleMiddle AgedPrevalencePulmonary Disease, Chronic ObstructiveRegistriesChronic DiseaseMortalityMultimorbidity

Identifiers

PMID41565329
PMCPMC12829342

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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.