Evidence map›Paper›PMID 37733703›Full record

ArticlePloS one2023

The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model.

Elisa Miranda Costa, Elisa Santos Magalhães Rodrigues, Francenilde Silva de Sousa, Felipe Bezerra Pimentel, Mariana Borges Sodré Lopes, João Ricardo Nickenig Vissoci, Erika Barbara Abreu Fonseca Thomaz

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Elisa Miranda CostaPublic Health Department, Federal University of Maranhão, São Luís, Maranhão, Brazil.ORCID 0000-0001-5364-0384
Elisa Santos Magalhães RodriguesPublic Health Department, Federal University of Maranhão, São Luís, Maranhão, Brazil.
Francenilde Silva de SousaPublic Health Department, Federal University of Maranhão, São Luís, Maranhão, Brazil.
Felipe Bezerra PimentelDepartment of Electrical Engineering, Federal University of Maranhão, São Luís, Maranhão, Brazil.
Mariana Borges Sodré LopesPublic Health Department, Federal University of Maranhão, São Luís, Maranhão, Brazil.
João Ricardo Nickenig VissociDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America.
Erika Barbara Abreu Fonseca ThomazPublic Health Department, Federal University of Maranhão, São Luís, Maranhão, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study analyzes the effect of the Brazilian National Oral Health Policy (NOHP) on oral cancer mortality rates (OCMR).

methodThis is an ecological study with secondary oral cancer death data, using interrupted time series analysis (ARIMA, Autoregressive Integrated Moving Average). Annual death data were collected from the Mortality Information System (1996-2019). The outcome was the OCMR, standardized by gender and age We considered the NOHP, categorized as "0" (before its implementation), from 1996 to 2004, and "1 to 15", from 2005 to 2019. ARIMA modeling was carried out for temporal analysis, and regression coefficient estimation (RC).

resultsThe Brazilian NOHP implementation was associated with an increase in OCMR in the North region (CR = 0.16; p = 0.022) and with a decrease in the Southeast region (CR = -0.04; p<0.001), but did not affect the other macro-regions nor Brazil. The forecast models estimated an increase in OCMR for the North, and Northeast, a decrease for the Southeast, and stability for the South and Brazil.

conclusionThe Brazilian NOHP is not being effective in reducing the OCMR. The trends behaved differently in the Brazilian territory, highlighting health inequities. We recommend that the NOHP strengthen the oral health care network, incorporating oral cancer as a notifiable disease, adopting strategies for prevention, screening, and providing opportunities for early treatment of the disease.

Indexed as

Mouth NeoplasmsNeoplasms, Second PrimaryBrazilHealth InequitiesHumansInterrupted Time Series Analysis

Identifiers

PMID37733703
PMCPMC10513197

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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.