Evidence map›Paper›PMID 40018603›Full record

ArticleBMJ public health2024

Municipal breast and colorectal-anal cancer mortality in Sardinia, Italy from 2012 to 2020: application of a hierarchical Bayesian method.

Antonello Russo, Laura Maria Beatrice Belotti, Emilio Al Gianicolo

Abstract read
In one paragraph

Article in BMJ public health, 2024. 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

3 authors.

Antonello RussoSalute Publica ONG, Lecce, Italy.
Laura Maria Beatrice BelottiIRCCS Istituto Delle Scienze Neurologiche di Bologna, Bologna, Italy.
Emilio Al GianicoloInstitute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), Johannes Gutenberg Universitat Mainz, Mainz, Rheinland-Pfalz, Germany.ORCID 0000-0002-3473-0752

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractBackground: Excess mortality rates for breast cancer and colorectal-anal cancer in Sardinia are reported in the literature. The aim of the study is to analyse mortality for both cancer entities in Sardinian at municipality level. Methods: Sex-specific mortality rates by region and municipality of residence were computed using data from the Italian National Institute of Statistics for the years 2012-2020. Causes of death for malignant breast cancer in women and colorectal-anal cancer in both genders were analysed. The epidemiological analysis was based on the direct and indirect standardisation method. To obtain better interpretable maps of the distribution of relative risk (RR) of mortality, the hierarchical Bayesian Poisson-Gamma method was used. Results: With regard to breast cancer mortality in women, RRs showed an excess of mortality at the municipal level in four municipalities. In relation to colorectal-anal cancer, RRs showed an excess mortality in four municipalities for men and in three municipalities when considering the total population. At the health-district level, an excess mortality was observed in 1 out 24 districts for colorectal-anal cancer, in both men and the total population. Conclusion: This study provides an analysis of mortality at the municipal level for breast cancer and colorectal-anal cancer in Sardinia. It is recommended that the Sardinian regional authorities act on modifiable risk factors, like increasing the screening coverages for both neoplasms, in order to reduce the burden of both diseases.

Indexed as

Community HealthEpidemiologyMass ScreeningPublic Health

Identifiers

PMID40018603
PMCPMC11816100

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.