Evidence map›Paper›PMID 32948993›Full record

ArticleBreast cancer research and treatment2021

Factors associated with late-stage diagnosis of breast cancer among women in Addis Ababa, Ethiopia.

Alem Gebremariam, Nebiyu Dereje, Adamu Addissie, Alemayehu Worku, Mathewos Assefa, Aynalem Abreha, Wondemagegnehu Tigeneh, Lydia E Pace, Eva Johanna Kantelhardt, Ahmedin Jemal

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Article in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
0.8field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 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

10 authors at 6 institutions in 3 countries.

Alem GebremariamDepartment of Public Health, College of Medicine and Health Sciences, Adigrat University, Adigrat, Ethiopia. alemg25@gmail.com.ORCID http://orcid.org/0000-0003-2173-6685
Nebiyu DerejeDepartment of Public Health, College of Medicine and Health Sciences, Wachemu University, Hossana, Ethiopia.
Adamu AddissieDepartment of Preventive Medicine, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Alemayehu WorkuDepartment of Preventive Medicine, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Mathewos AssefaRadiotherapy Center, Tikur Anbessa Specialized Hospital, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
Aynalem AbrehaRadiotherapy Center, Tikur Anbessa Specialized Hospital, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
Wondemagegnehu TigenehRadiotherapy Center, Tikur Anbessa Specialized Hospital, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
Lydia E PaceInternal Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Eva Johanna KantelhardtInstitute for Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University, Halle-Wittenberg Halle, Germany.
Ahmedin JemalSurveillance and Health Services Research, American Cancer Society, Atlanta, GA, USA.
Addis Ababa University · ETTikur Anbessa Hospital · ETAdigrat University · ETAmerican Cancer Society · USBrigham and Women's Hospital · USMartin Luther University Halle-Wittenberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeStage at diagnosis is a key determinant of breast cancer prognosis. In this study, we characterize stage at diagnosis and determine factors associated with advanced stage at diagnosis among women diagnosed with invasive breast cancer in Addis Ababa, capital city of Ethiopia.

methodsStage information was collected from medical records of 441 women with invasive breast cancer seen in seven major health facilities in Addis Ababa, from January 2017 to June 2018; these seven facilities capture 90% of all incident breast cancer cases in the city. We used multivariable Poisson regression model with robust variance to determine factors associated with advanced stage at diagnosis.

resultsThe predominant tumor histology was ductal carcinoma (83.7%). More than half of the tumors' grade was moderately or poorly differentiated. The median tumor size at presentation was 4 cm. Sixty-four percent of the patients were diagnosed at advanced stage of the disease (44% stage III and 20% stage IV), with 36% of the patients diagnosed at early-stage (5% stage I and 31% stage II). The prevalence of advanced stage disease was significantly higher among women who used traditional medicine before diagnostic confirmation (adjusted prevalence ratio [aPR] = 1.31; p = 0.001), had patient delay of >  3 months (aPR = 1.16; p = 0.042) and diagnosis delay of > 2 months (aPR = 1.24; p = 0.004). But it was lower among women who had history of breast self-examination (aPR = 0.77; p = 0.021).

conclusionsAdvanced stage at diagnosis of breast cancer among women in Addis Ababa is strongly associated with use of traditional medicine and with prolonged time interval between symptom recognition and disease confirmation. Community- and health systems-level interventions are needed to enhance knowledge about breast cancer and facilitate timely diagnoses.

Indexed as

Breast NeoplasmsDelayed DiagnosisBreastCross-Sectional StudiesEthiopiaFemaleHumansPrognosisBreast neoplasmsDelayEthiopiaStage at diagnosis

Identifiers

PMID32948993
OpenAlexW3087079239

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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.