Evidence map›Paper›PMID 33688246›Full record

ArticleInternational journal of general medicine2021

Characteristics of Breast Masses of Female Patients Referred for Diagnostic Breast Ultrasound from a Saudi Primary Health Care Setting.

Nouf A AlShamlan, Reem S AlOmar, Omar Y Almukhadhib, Saad A Algarni, Askar K Alshaibani, Sara A Elmaki, Malak A Al Shammari, Abdulaziz M Sebiany

Abstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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.

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4 · The record

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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.

Nouf A AlShamlanDepartment of Family and Community Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID 0000-0002-8049-237X
Reem S AlOmarDepartment of Family and Community Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID 0000-0003-4899-7965
Omar Y AlmukhadhibCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Saad A AlgarniCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Askar K AlshaibaniCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Sara A ElmakiDepartment of Radiology at Family and Community Medicine Center, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Malak A Al ShammariDepartment of Family and Community Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID 0000-0002-7434-7432
Abdulaziz M SebianyDepartment of Family and Community Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID 0000-0001-9572-0040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast masses are common among females presenting to primary health care (PHC) facilities. The family physician's role is crucial in detecting breast disease. Utilization of breast ultrasonography has been increasing recently as a diagnostic tool.

objectiveThis study aims to determine the characteristics of masses detected on breast ultrasound, their associations with characteristics of females attending the PHC setting and explore the management of these cases by family physicians.

methodsThis registered based, cross-sectional study included 321 females who were referred for diagnostic breast ultrasound in the PHC center of the University hospital, Eastern province, Saudi Arabia (2017-2019).

resultsApproximately 24% patients had a breast mass and 70.92% of cases were detected among females ≥ 40 years old. The odds of having a breast mass were highest among overweight, females complaining from a breast lump, and who had early menarche. Grand multiparous had lower odds of a breast mass. Females < 40 years old had higher rates of breastfeeding, increasing parity, and obesity than older females. Sonographic examined masses were larger in young females, and posterior enhancement of the mass was more reported in older. BI-RADs of the masses were not associated with the patient's age.

conclusionBreast masses were prevalent among females who underwent breast ultrasound. The results support referral for investigation when a female complains of a breast lump. Family physicians have a vital role in encouraging protective behaviors from developing breast masses such as maintaining normal weight and breastfeeding.

Indexed as

breastfamily physicianmassprimary careultrasound

Identifiers

PMID33688246
PMCPMC7937368

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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.