Evidence map›Paper›PMID 37174011›Full record

ArticleCancers2023

New Regional Dynamic Cancer Model across the European Union.

Silvius Ioan Negoita, Romeo Victor Ionescu, Monica Laura Zlati, Valentin Marian Antohi, Alexandru Nechifor

Abstract read
In one paragraph

Article in Cancers, 2023. 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

5 authors.

Silvius Ioan NegoitaAnaesthesia Intensive Care Unit, Department Orthopedics, University of Medicine and Pharmacy Carol Davila of Bucharest, 020021 Bucharest, Romania.
Romeo Victor IonescuDepartment of Administrative Sciences and Regional Studies, Dunarea de Jos University of Galati, 800008 Galati, Romania.
Monica Laura ZlatiDepartment of Business Administration, Dunarea de Jos University of Galati, 800008 Galati, Romania.
Valentin Marian AntohiDepartment of Business Administration, Dunarea de Jos University of Galati, 800008 Galati, Romania.ORCID 0000-0002-6899-2419
Alexandru NechiforDepartment of Medical Clinical, Dunarea de Jos University of Galati, 800008 Galati, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCan increasing levels of economic wealth significantly influence changes in cancer incidence and mortality rates?

methodsWe investigated this issue by means of regression analyses based on the study of incidence and mortality indicators for lip, oral cavity, and pharyngeal; colon; pancreatic; lung; leukaemia; brain and central nervous system cancers in correlation with the levels of economic welfare and financial allocations to health at the level of the European Union member states, with the exception of Luxembourg and Cyprus for which there are no official statistical data reported.

resultsThe results of the study showed that there were significant disparities both regionally and by gender, requiring corrective public policy measures that were formulated in this study.

conclusionsThe conclusions highlight the main findings of the study in terms of the evolution of the disease, present the significant aspects that characterise the evolution of each type of cancer during the period analysed (1993-2021), and highlight the novelty and limitations of the study and future directions of research. As a result, increasing economic welfare is a potential factor in halting the effects of cancer incidence and mortality at the population level, while the financial allocations to health of EU member countries' budgets are a drawback due to large regional disparities.

Indexed as

cancerseconomic welfareregional cancer disparitiesregional dynamic cancer model

Identifiers

PMID37174011
PMCPMC10177237

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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.