Evidence map›Paper›PMID 32074101›Full record

ArticlePloS one2020

Analysis of the effects of the age-period-birth cohort on cervical cancer mortality in the Brazilian Northeast.

Karina Cardoso Meira, Glauber Weder Dos Santos Silva, Juliano Dos Santos, Raphael Mendonça Guimarães, Dyego Leandro Bezerra de Souza, Gilcilene Pretta Cani Ribeiro, Eder Samuel Oliveira Dantas, Jovanka Bittencourt Leite de Carvalho, Rafael Tavares Jomar, Taynãna César Simões

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2020. 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
0.8field-weighted citation impact, top 27% of its field
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

4 citing papers in PubMed, 14 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Karina Cardoso MeiraHealth School, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.ORCID 0000-0002-1722-5703
Glauber Weder Dos Santos SilvaDepartment of Nursing, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.ORCID 0000-0002-0570-1944
Juliano Dos SantosCancer Hospital III, National Cancer Institute, Rio de Janeiro, Rio de Janeiro, Brazil.
Raphael Mendonça GuimarãesJoaquim Venâncio Polytechnic School, Oswaldo Cruz Foundation, Rio de Janeiro, Rio de Janeiro, Brazil.
Dyego Leandro Bezerra de SouzaCollective Health Department, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Gilcilene Pretta Cani RibeiroBiologist, specialist in management in Health Systems and Services, State Secretariat of Espírito Santo, Vitória, Espírito Santo, Brazil.
Eder Samuel Oliveira DantasCollective Health Department, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.ORCID 0000-0002-6595-6105
Jovanka Bittencourt Leite de CarvalhoHealth School, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Rafael Tavares JomarAssistance Coordination, National Cancer Institute, Rio de Janeiro, Rio de Janeiro, Brazil.
Taynãna César SimõesRené Rachou Institute, Oswaldo Cruz Foundation, Belo Horizonte, Minas Gerais, Brazil.
Universidade Federal do Rio Grande do Norte · BRFundação Oswaldo Cruz · BRHospital do Câncer III · BRInstituto Nacional de Câncer - INCA · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer (CC) is a public health problem with a high disease burden and mortality in developing countries. In Brazil, areas with low human development index have the highest incidence rates of Brazil and upward temporal trend for this disease. The Northeast region has the second highest incidence of cervical cancer (20.47 new cases / 100,000 women). In this region, the mortality rates are similar to rates in countries that do not have a health system with a universal access screening program, as in Brazil. Thus, this study aimed to analyze the effects of age, period and birth cohorts on mortality from cervical cancer in the Northeast region of Brazil. Estimable functions predicted the effects of age, period and birth cohort. The average mortality rate was 10.35 deaths per 100,000 women during the period analyzed (1980-2014). The highest mortality rate per 100,000 women was observed in Maranhão (24.39 deaths), and the lowest mortality rate was observed in Bahia (11.24 deaths). According to the period effects, only the state of Rio Grande do Norte showed a reduction in mortality risk in the five years of the 2000s. There was a reduction in mortality risk for birth cohorts of women after the 1950s, except in Maranhão State, which showed an increasing trend in mortality risk for younger generations. We found that the high rates of cervical cancer mortality in the states of northeastern Brazil remain constant over time. Even after an increase in access to health services in the 2000s, associated with increased access to the cancer care network, which includes early detection (Pap Test), cervical cancer treatment and palliative care. However, it is important to note that the decreased risk of death and the mortality rates from CC among women born after the 1960s may be correlated with increased screening coverage, as well as increased access to health services for cancer treatment observed in younger women.

Indexed as

AdultAgedAged, 80 and overAge FactorsBrazilCohort StudiesEarly Detection of CancerFemaleHealth Services AccessibilityHumansIncidenceMass ScreeningMiddle AgedMortalityPapanicolaou TestUterine Cervical Neoplasms

Identifiers

PMID32074101
PMCPMC7029866
OpenAlexW3007936363

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.