Evidence map›Paper›PMID 38264246›Full record

ArticleFrontiers in public health2023

Environmental pressures, tumor characteristics, and death rate in a female breast cancer cohort: a seven-years Bayesian survival analysis using cancer registry data from a contaminated area in Italy.

Orazio Valerio Giannico, Simona Carone, Margherita Tanzarella, Claudia Galluzzo, Antonella Bruni, Giovanna Maria Lagravinese, Ivan Rashid, Lucia Bisceglia, Rodolfo Sardone, Francesco Addabbo and 2 more

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Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Orazio Valerio GiannicoUnit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy.
Simona CaroneUnit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy.
Margherita TanzarellaUnit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy.
Claudia GalluzzoUnit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy.
Antonella BruniUnit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy.
Giovanna Maria LagravineseUnit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy.
Ivan RashidCoordination Center of the Apulia Cancer Registry, Strategic Regional Agency for Health and Social Care of Apulia, Bari, Italy.
Lucia BiscegliaCoordination Center of the Apulia Cancer Registry, Strategic Regional Agency for Health and Social Care of Apulia, Bari, Italy.
Rodolfo SardoneUnit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy.
Francesco AddabboUnit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy.
Sante MinerbaHealthcare Management, Local Health Authority of Taranto, Taranto, Italy.
Antonia MincuzziUnit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In Taranto, Southern Italy, adverse impacts on the environment and human health due to industrial installations have been studied. In the literature, few associations have been reported between environmental factors and breast cancer mortality in women. The aim of this study was to investigate the relationships between residence in areas with high environmental pressures, female breast cancer characteristics, and death rate. Methods: Data from the Taranto Cancer Registry were used, including all women with invasive breast cancer diagnosed between 01 January 2015 and 31 December 2020 and with follow-up to 31 December 2021. Bayesian mixed effects logistic and Cox regression models were fitted with the approach of integrated nested Laplace approximation, adjusting for patients and disease characteristics. Results: A total of 10,445 person-years were observed. Variables associated with higher death rate were residence in the contaminated site of national interest (SIN) (HR 1.22, 95% CrI 1.01-1.48), pathological/clinical stage III (HR 2.77, 95% CrI 1.93-3.97) and IV (HR 17.05, 95% CrI 11.94-24.34), histological grade 3 (HR 2.50, 95% CrI 1.20-5.23), Ki-67 proliferation index of 21-50% (HR 1.42, 95% CrI 1.10-1.83) and > 50% (HR 1.81, 95% CrI 1.29-2.55), and bilateral localization (HR 1.65, 95% CrI 1.01-2.68). Variables associated with lower death rate were estrogen and/or progesterone receptor positivity (HR 0.61, 95% CrI 0.45-0.81) and HER2/neu oncogene positivity (HR 0.59, 95% CrI 0.44-0.79). Discussion: The findings confirmed the independent prognostic values of different female breast cancer characteristics. Even after adjusting for patients and disease characteristics, residence in the SIN of Taranto appeared to be associated with an increased death rate.

Indexed as

Breast NeoplasmsBayes TheoremFemaleHumansItalyRoutinely Collected Health DataSurvival Analysisbreast cancercancer epidemiologycancer survivalenvironmental contaminationenvironmental pollutionfemale breast cancer

Identifiers

PMID38264246
PMCPMC10805021

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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.