Evidence map›Paper›PMID 37305573›Full record

ArticleFrontiers in oncology2023

Breast cancer survival and the health system in Brazil: an analysis of public and private healthcare.

Adriana de Souza Sérgio Ferreira, Jane Rocha Duarte Cintra, Vívian Assis Fayer, Mário Círio Nogueira, Cassimiro Baesso Júnior, Maria Teresa Bustamante-Teixeira, Alfredo Chaoubah, Arthur Duarte Cintra, Caroline Montes Simão, Maximiliano Ribeiro Guerra

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Institutional and Regional Variations in Access to Clinical Trials and Next-Generation Sequencing in Turkish Oncology Centers.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Review
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.

Adriana de Souza Sérgio FerreiraInstituto Oncológico de Juiz de Fora/Hospital 9 de Julho, Departamento de Oncologia Clínica, Juiz de Fora, Brazil.
Jane Rocha Duarte CintraInstituto Oncológico de Juiz de Fora/Hospital 9 de Julho, Departamento de Oncologia Clínica, Juiz de Fora, Brazil.
Vívian Assis FayerPrograma de Pós-Graduação em Saúde Coletiva da Universidade Federal de Juiz de Fora (UFJF), Departamento de Saúde Coletiva, Juiz de Fora, Brazil.
Mário Círio NogueiraPrograma de Pós-Graduação em Saúde Coletiva da Universidade Federal de Juiz de Fora (UFJF), Departamento de Saúde Coletiva, Juiz de Fora, Brazil.
Cassimiro Baesso JúniorHospital Universitário da Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Brazil.
Maria Teresa Bustamante-TeixeiraPrograma de Pós-Graduação em Saúde da Universidade Federal de Juiz de Fora (UFJF), Faculdade de Medicina, Juiz de Fora, Brazil.
Alfredo ChaoubahPrograma de Pós-Graduação em Saúde da Universidade Federal de Juiz de Fora (UFJF), Faculdade de Medicina, Juiz de Fora, Brazil.
Arthur Duarte CintraInstituto Oncológico de Juiz de Fora/Hospital 9 de Julho, Departamento de Oncologia Clínica, Juiz de Fora, Brazil.
Caroline Montes SimãoInstituto Oncológico de Juiz de Fora/Hospital 9 de Julho, Departamento de Oncologia Clínica, Juiz de Fora, Brazil.
Maximiliano Ribeiro GuerraPrograma de Pós-Graduação em Saúde Coletiva da Universidade Federal de Juiz de Fora (UFJF), Departamento de Saúde Coletiva, Juiz de Fora, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The incidence of breast cancer is increasing globally; however, survival outcomes vary and are lower in developing countries. Methods: We analyzed the 5- and 10-year survival rates for breast cancer according to the type of healthcare insurance (public Results: The 5- and 10-year breast cancer survival rates were as follows: private healthcare service survival rate of 80.6% (95% CI 75.0-85.0) and 71.5% (95% CI 65.4-77.1), respectively, and public healthcare service survival rate of 68.5% (95% CI 62.5-73.8) and 58.5% (95% CI 52.1-64.4), respectively. The main factors associated with the worst prognosis were lymph node involvement in both healthcare services and tumor size >2 cm only in public health services. The use of hormone therapy (private) and radiotherapy (public) was associated with the best survival rates. Conclusions: The survival discrepancies found between health services can be explained mainly by the difference in the stage of the disease at the time of diagnosis, indicating inequalities in access to the early detection of breast cancer.

Indexed as

breast neoplasmcohort studyneoplasm stagingprognosissurvival analysis

Identifiers

PMID37305573
PMCPMC10248159

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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.