Evidence map›Paper›PMID 33650727›Full record

ArticleThe oncologist2021

Breast Awareness, Self-Reported Abnormalities, and Breast Cancer in Rural Ethiopia: A Survey of 7,573 Women and Predictions of the National Burden.

Wondimu Ayele, Adamu Addissie, Andreas Wienke, Susanne Unverzagt, Ahmedin Jemal, Lesley Taylor, Eva J Kantelhardt

Open access · hybridAbstract read
In one paragraph

Article in The oncologist, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

7 authors at 4 institutions in 3 countries.

Wondimu AyeleSchool of Public Health Department of Biostatistics and Epidemiology, Addis Ababa University, Ethiopia.ORCID 0000-0001-5899-347X
Adamu AddissieSchool of Public Health Department of Biostatistics and Epidemiology, Addis Ababa University, Ethiopia.ORCID 0000-0003-4709-3606
Andreas WienkeInstitute of Medical Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Susanne UnverzagtInstitute of Medical Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Ahmedin JemalAmerica Cancer Society, Atlanta, Georgia, USA.
Lesley TaylorCity of Hope National Medical Center, Duarte, California, USA.
Eva J KantelhardtInstitute of Medical Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.ORCID 0000-0001-7935-719X
Martin Luther University Halle-Wittenberg · DEAddis Ababa University · ETAmerican Cancer Society · USCity Of Hope National Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer (BC) is the most frequently diagnosed cancer and leading cause of cancer deaths among women in low-income countries. Ethiopia does not have a national BC screening program, and over 80% of patients are diagnosed with advanced stage disease. The aim of this study was to assess how many women self-report a breast abnormality and to determine their diagnoses in rural Ethiopia.

methodsA community-based cross-sectional study was conducted among 7,573 adult women. Women were interviewed and educated about breast awareness, and those who reported breast abnormalities underwent clinical examination by experienced surgeons. Ultrasound-guided fine needle aspiration cytology (FNAC) was obtained, and cytological analysis was performed. The findings were projected to the female population of Ethiopia to estimate current and future burden of diseases.

findingsOf the 7,573 women surveyed, 258 (3.4%) reported a breast abnormality, 246 (3.2%) received a physical examination, and 49 (0.6%) were found to be eligible for ultrasound-guided FNAC or nipple discharge evaluation. Of all the cases, five (10.2%) breast malignancies were diagnosed. We projected for Ethiopia that, approximately, 1 million women could self-report a breast abnormality, 200,000 women could have a palpable breast mass, and 28,000 women could have BC in the country.

conclusionThe health care system needs to build capacity to assess and diagnose breast diseases in rural areas of Ethiopia. These data can be used for resource allocation to meet immediate health care needs and to promote detecting and treating BC at earlier stages of disease. IMPLICATIONS FOR PRACTICE: Routine mammography screening in a resource-limited country with a young population is neither sensitive nor affordable. Clinical breast examination with consecutive ultrasound-guided fine needle aspiration cytology may ensure early diagnosis, downstage disease, and reduce breast cancer mortality. This study had the unique opportunity to educate over 7,573 rural women about breast abnormalities and offer clinical and cytological diagnosis for reported breast abnormalities. The findings were extrapolated to show the nationwide burden of breast abnormalities and unmet diagnostic needs. These data will serve as policy guide to improve adequate referral mechanisms and breast diagnostic and treatment facilities.

Indexed as

Breast NeoplasmsAdultBreastCross-Sectional StudiesEthiopiaFemaleHumansSelf ReportBreast neoplasmsEthiopiaHealth services

Identifiers

PMID33650727
PMCPMC8176994
OpenAlexW3135119247

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.