Evidence map›Paper›PMID 42219283›Full record

ArticleCancer reports (Hoboken, N.J.)2026

Assessing Delay Patterns in Diagnosis and Care Among Breast Cancer Patients in Ethiopia.

Meklit Solomon Gebremariam, Segni Kejela, Yeabtsega Amlaku Asres, Erko Chala Beyene, Tsegab Alemayehu Bukate, Misgana Muluneh Ojamo, Kalsidagn Girma Asfaw, Meti Temesgen Negassa, Abenezer Tarekegne Legesse

Abstract readMulticenter Study
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Meklit Solomon GebremariamCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Segni KejelaDepartment of Surgery, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0003-4620-0959
Yeabtsega Amlaku AsresSaint Paul's Hospital Millenium Medical College, Addis Ababa, Ethiopia.
Erko Chala BeyeneCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Tsegab Alemayehu BukateDepartment of Surgery, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0009-0006-9874-0390
Misgana Muluneh OjamoArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Kalsidagn Girma AsfawDepartment of Emergency Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Meti Temesgen NegassaJohns Hopkins University, Baltimore, Maryland, USA.
Abenezer Tarekegne LegesseCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Ethiopia, breast cancer patients often present with advanced-stage disease, leading to high mortality. This study aimed to quantify diagnostic and treatment intervals and identify their association with stage at presentation.

aimThe aim of this study is to determine the role of specific types of delay on the stage of disease presentation for breast cancer. METHODS AND

resultsA multicenter cross-sectional study was conducted at Ethiopia's two largest tertiary oncology centers. Data from 205 histologically confirmed breast cancer patients were analyzed using multivariable logistic regression and random forest machine learning to evaluate the impact of various time intervals on disease stage. The median total delay was 5.05 months, with more than half of patients exceeding a six-month interval from symptom onset to treatment initiation. Primary delay (patient interval) was the dominant contributor, accounting for over 77% of the total variance in delay. Total delay > 6 months was independently associated with a 4.26-fold higher odds of advanced-stage (Stage III/IV) presentation (AOR 4.26, 95% CI: 2.07-8.77, p < 0.001). Lack of awareness was the primary reason for delay (77.8%), while complementary medicine use and absence of pain were not significantly associated with prolonged total delay.

conclusionThe majority of delays occur during the pre-clinical phase. Reducing primary delay through targeted community awareness and improved symptom recognition is critical to achieving earlier diagnosis and reducing breast cancer mortality in Ethiopia.

Indexed as

Breast NeoplasmsDelayed DiagnosisTime-to-TreatmentAdultAgedCross-Sectional StudiesEthiopiaFemaleHumansMiddle AgedNeoplasm StagingTreatment Delaylow‐and‐middle income countriesprimary delayprovider delaysecondary delaytertiary delay

Identifiers

PMID42219283
PMCPMC13239925

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