Evidence map›Paper›PMID 30602953›Full record

ArticleAfrican health sciences2018

Fibroadenoma of the breast in a South African population -a pilot study of the diagnostic accuracy of fine needle aspirate cytology and breast ultrasonography.

Sumana Pillay, Shalen Cheddie, Yoshan Moodley

Open access · diamondAbstract read
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Article in African health sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 5 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

3 authors at 2 institutions in 1 country.

Sumana PillayUniversity of KwaZulu-Natal College of Health Sciences, Department of Surgery.
Shalen CheddieMadadeni Hospital.
Yoshan MoodleyUniversity of Kwazulu-Natal, Discipline of Anaesthetics and Critical Care.
University of KwaZulu-Natal · ZAMadwaleni Hospital · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe triple assessment of clinical breast exam (CBE), fine needle aspirate cytology (FNAC) and breast ultrasonography (US) is used in many settings for the diagnosis of fibroadenoma (FA). The diagnostic accuracy of FNAC and US for FA in South African (SA) women with palpable breast masses (PBM) is unknown.

objectiveTo report the diagnostic accuracy of FNAC/US for FA in SA women with PBM.

methodsWe conducted a retrospective pilot diagnostic study of 91 women who presented with PBM to a SA regional academic hospital. Data for CBE, US, unguided FNAC, and open biopsies was collected from study participant medical records and analyzed using diagnostic accuracy tables.

resultsA total of 57/91 (62.6%) study participants had uninterpretable FNAC results. No study participants had uninterpretable US results. The overall diagnostic accuracy of FNAC for FA was 36.3% (95% Confidence Interval - CI: 27.1-46.5%). The overall diagnostic accuracy of US for FA was 83.5% (95% CI: 74.6-89.8%).

conclusionThe yield of interpretable test results for FNAC was poor in our study. The diagnostic accuracy of US for FA appears to be superior to that of FNAC. Omission of FNAC from the triple assessment in our setting should be considered.

Indexed as

AdolescentAdultBiopsy, Fine-NeedleBlack PeopleBreastBreast NeoplasmsFemaleFibroadenomaHumansPhysical ExaminationPilot ProjectsPredictive Value of TestsRetrospective StudiesSensitivity and SpecificitySouth AfricaUltrasonography, Mammarybreast ultrasonographydiagnosisFibroadenomafine needle aspirate cytology

Identifiers

PMID30602953
PMCPMC6306964
OpenAlexW2810743166

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.