Evidence map›Paper›PMID 32936540›Full record

ArticleJournal of medical radiation sciences2020

Correlation of the BI-RADS assessment categories of Papua New Guinean women with mammographic parenchymal patterns, age and diagnosis.

Ruth Pape, Kelly Maree Spuur, Jenny Maree Wilkinson, Pius Umo

Open access · goldAbstract read
In one paragraph

Article in Journal of medical radiation sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. A review of mammographic image quality in Papua New Guinea.Journal of medical radiation sciences · 2022
    Review
  3. 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

4 authors at 2 institutions in 2 countries.

Ruth PapeSchool of Medicine and Health Sciences, Discipline of Medical Imaging Science, University of Papua New Guinea, Boroko, NCD, Papua New Guinea.ORCID https://orcid.org/0000-0002-7861-0744
Kelly Maree SpuurFaculty of Science, School of Dentistry & Health Sciences, Charles Sturt University, Wagga Wagga, NSW, Australia.ORCID https://orcid.org/0000-0003-0285-9962
Jenny Maree WilkinsonFaculty of Science, School of Dentistry & Health Sciences, Charles Sturt University, Wagga Wagga, NSW, Australia.ORCID https://orcid.org/0000-0002-4926-2840
Pius UmoPacific International Hospital, Boroko, NCD, Papua New Guinea.
Charles Sturt University · AUUniversity of Papua New Guinea · PG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWomen with increased breast density are at increased risk of breast cancer. The aim of this research is to evidence for the first time the mammographic breast findings of Papua New Guinean (PNG) women and the relationship between Breast Imaging-Reporting and Data System (BI-RADS) assessment, mammographic parenchymal patterns (MPPs) and age.

methodsA retrospective analysis of 1357 mammograms of women imaged at the Pacific International Hospital (PIH) from August 2006 to July 2010 was undertaken. Mammographic findings were categorised using the BI-RADS Atlas® 5th Edition. MPPs were recorded for each woman using the Tabár Pattern I-V classification system. Age was recorded in years. Statistical analysis was by descriptive analysis and Kruskal-Wallis with Dunn's post-test and Spearman's rho correlation for inferential analysis.

resultsTrue pathological findings (benign and malignant); BI-RADS 2-5 were noted in 111 women (8.2%); 1242 (91.5%) were negative. BI-RADS categories for malignancy were reported in 16 (88.9%) of women aged 30 to 60 years. The lower risk Tabár Type I, II and III MPPs were associated with 94.4% (n = 17) of malignancies. Linear correlations between variables were weak and not statistically significant: age and Tabár pattern r = 0.031, P = 0.0261; age and BI-RADS r = 0.018, P = 0.517; Tabár pattern and BI-RADS r = 0.020, P = 0.459 (n = 1357).

conclusionThere was no correlation demonstrated between BI-RADS category, age and MPP. Importantly, there was no correlation demonstrated between BI-RADS categories 4 and 5 for breast malignancy and high-risk Tabár Type IV and V MPPs. The results of this study again reflect that the incidence of breast cancer in PNG cannot be explained by breast density and suggest that any formalised screening program in PNG has a target age group aimed at women younger than that of Western screening programs.

Indexed as

Breast NeoplasmsMammographyAdultAgedAged, 80 and overAge FactorsBreastFemaleHumansMiddle AgedPapua New GuineaRetrospective StudiesYoung AdultBI-RADSbreast densitybreast pathologymammographic parenchymal patternsPapua New Guinea

Identifiers

PMID32936540
PMCPMC7754014
OpenAlexW3087412475

What OpenQuestion holds

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LicenceCC BY
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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.