Evidence map›Paper›PMID 39559052›Full record

ArticleIndian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India2024

Temporal Analysis and Spatial Distribution of Mortality Related to Head and Neck Cancer in the State of Santa Catarina, Brazil.

Carina Gabrich, Patrícia Haas, Paulo Adão de Medeiros, Ana Maria Furkim

Abstract read
In one paragraph

Article in Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India, 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

4 authors.

Carina GabrichAgronomic Andrei Cristian Ferreira, Federal University of Santa Catarina (UFSC) - Rua Eng, s/n - Trindade, Florianópolis, Santa Catarina, 88040-900 Brazil.ORCID https://orcid.org/0000-0002-7586-0721
Patrícia HaasFederal University of Fronteira Sul (UFFS) - Chapecó campus, Santa Catarina, 89815-899 Brazil.ORCID https://orcid.org/0000-0001-9797-7755
Paulo Adão de MedeirosAgronomic Andrei Cristian Ferreira, Universidade Federal de Santa Catarina (UFSC), Federal University of Santa Catarina (UFSC) - Rua Eng, s/n - Trindade, Florianópolis, Santa Catarina, 88040-900 Brazil.ORCID https://orcid.org/0000-0002-0805-536X
Ana Maria FurkimAgronomic Andrei Cristian Ferreira, Federal University of Santa Catarina (UFSC) - Rua Eng, s/n - Trindade, Florianópolis, Santa Catarina, 88040-900 Brazil.ORCID https://orcid.org/0000-0002-0781-5312

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To analyze mortality from head and neck cancer (HNC) in the State of Santa Catarina from 1979 to 2023. Ecological study of data available in the Mortality Atlas of the National Cancer Institute and in the Mortality Information System. Approximately 13,309 deaths due to HNC were recorded in the Mortality Atlas, considering the period from 1979 to 2021 and 11,027 deaths recorded in SIM in the period from 1996 to 2023. The profile of these patients consisted predominantly of subjects aged 60-69 years old, male, white, married and with 1-3 years of education. Regarding types of cancer, most deaths occurred from laryngeal cancer, followed by oropharyngeal cancer. There is a need to improve health services, with an emphasis on diagnosis of the highest risk profiles, prevention and health promotion with publicity campaigns.

Indexed as

Head and neck neoplasmsMortality registryNeoplasmsSanta Catarina

Identifiers

PMID39559052
PMCPMC11569294

What OpenQuestion holds

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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.