Evidence map›Paper›PMID 33120081›Full record

ArticleBreast (Edinburgh, Scotland)2020

Breast cancer survival in Brazil: How much health care access impact on cancer outcomes?

Maira Caleffi, Isabel Crivelatti, Norah A Burchardt, Rodrigo A Ribeiro, Yulieth Acevedo, Laura Gianotti Job, Nouara Nonnemacher, Daniela Dornelles Rosa

Abstract readEvaluation Study
In one paragraph

Article in Breast (Edinburgh, Scotland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Deep inspiration breath hold: dosimetric benefits to decrease cardiac dose during postoperative radiation therapy for breast cancer patients.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023
    Article
  5. Fighting Cancer around the World: A Framework for Action.Healthcare (Basel, Switzerland) · 2022
    Article
  6. Article
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

8 authors.

Maira CaleffiBreast Cancer Center, Hospital Moinhos de Vento, Porto Alegre, RS, Brazil. Electronic address: Maira.caleffi@hmv.org.br.
Isabel CrivelattiBreast Cancer Center, Hospital Moinhos de Vento, Porto Alegre, RS, Brazil.
Norah A BurchardtDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Rodrigo A RibeiroPost-Graduation Program in Epidemiology, Federal University of Rio Grande Do Sul, Porto Alegre, RS, Brazil.
Yulieth AcevedoBreast Cancer Center, Hospital Moinhos de Vento, Porto Alegre, RS, Brazil.
Laura Gianotti JobBreast Cancer Center, Hospital Moinhos de Vento, Porto Alegre, RS, Brazil.
Nouara NonnemacherBreast Cancer Center, Hospital Moinhos de Vento, Porto Alegre, RS, Brazil.
Daniela Dornelles RosaBreast Cancer Center, Hospital Moinhos de Vento, Porto Alegre, RS, Brazil; Post-Graduation Program in Pathology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, RS, Brazil; Oncology Center, Hospital Moinhos de Vento, Porto Alegre, RS, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer has a high incidence and increasing mortality in Southern Brazil. The present study evaluated clinical and sociodemographic characteristics, and their association with overall survival in a private cancer center.

methods1113 breast cancer patients were included in this study. The association between survival and clinicopathological and sociodemographic characteristics was analyzed using Cox regression and Kaplan-Meyer curves.

resultsMedian age at diagnosis was 52 years (SD 13.5). Most patients were diagnosed in stages 0 and I (62.7%), while only 1.3% had stage IV disease. Five- and 10-year overall survival were 93.5% and 83.8%, respectively. According to multivariate analysis, age at diagnosis (HR 1.05; CI95 1.03-1.06), staging (stage III: HR 4.04; CI95 1.34-12.19; stage IV: HR 9.61; CI95 2.17-42.50), high KI67 (HR 5.46; CI95 1.27-23.32) and distant recurrence (HR 7.28; CI95 4.79-11.06) were significantly associated with survival. Smoking status, years of education, BMI, and tumor biological status were not significantly associated with mortality.

conclusionsThis cohort of Brazilian patients, who received timely and appropriate treatment, achieved outcomes that are comparable to those from high income countries. Breast cancer mortality seems dependent on the quality of health care available to patients.

Indexed as

AdultBrazilBreast NeoplasmsFemaleHealth Services AccessibilityHumansKaplan-Meier EstimateMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingProportional Hazards ModelsRetrospective StudiesSocioeconomic FactorsTime-to-TreatmentBreast cancerCancer survivalMortality

Identifiers

PMID33120081
PMCPMC7586236

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.