Evidence map›Paper›PMID 33971839›Full record

ArticleBMC cancer2021

Invasive breast Cancer treatment in Tanzania: landscape assessment to prepare for implementation of standardized treatment guidelines.

Rupali Sood, Nestory Masalu, Roisin M Connolly, Christina A Chao, Lucas Faustine, Cosmas Mbulwa, Benjamin O Anderson, Anne F Rositch

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  7. Formulation, Optimization, and Evaluation ofMolecules (Basel, Switzerland) · 2022
    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

8 authors at 4 institutions in 3 countries.

Rupali SoodDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Office E6150, Baltimore, MD, 21205, USA.
Nestory MasaluBugando Medical Centre, Mwanza, Tanzania.
Roisin M ConnollyCancer Research @ UCC, College of Medicine and Health, University College Cork, Cork, Ireland.
Christina A ChaoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Office E6150, Baltimore, MD, 21205, USA.
Lucas FaustineBugando Medical Centre, Mwanza, Tanzania.
Cosmas MbulwaBugando Medical Centre, Mwanza, Tanzania.
Benjamin O AndersonBreast Health Global Initiative, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
Anne F RositchDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Office E6150, Baltimore, MD, 21205, USA. arositch@jhu.edu.
Bugando Medical Centre · TZJohns Hopkins University · USFred Hutch Cancer Center · USUniversity College Cork · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncidence of breast cancer continues to rise in low- and middle-income countries, with data from the East African country of Tanzania predicting an 82% increase in breast cancer from 2017 to 2030. We aimed to characterize treatment pathways, receipt of therapies, and identify high-value interventions to increase concordance with international guidelines and avert unnecessary breast cancer deaths.

methodsPrimary data were extracted from medical charts of patients presenting to Bugando Medical Center, Tanzania, with breast concerns and suspected to have breast cancer. Clinicopathologic features were summarized with descriptive statistics. A Poisson model was utilized to estimate prevalence ratios for variables predicted to affect receipt of life-saving adjuvant therapies and completion of therapies. International and Tanzanian guidelines were compared to current care patterns in the domains of lymph node evaluation, metastases evaluation, histopathological diagnosis, and receptor testing to yield concordance scores and suggest future areas of focus.

resultsWe identified 164 patients treated for suspected breast cancer from April 2015-January 2019. Women were predominantly post-menopausal (43%) and without documented insurance (70%). Those with a confirmed histopathology diagnosis (69%) were 3 times more likely to receive adjuvant therapy (PrR [95% CI]: 3.0 [1.7-5.4]) and those documented to have insurance were 1.8 times more likely to complete adjuvant therapy (1.8 [1.0-3.2]). Out of 164 patients, 4% (n = 7) received concordant care based on the four evaluated management domains. The first most common reason for non-concordance was lack of hormone receptor testing as 91% (n = 144) of cases did not undergo this testing. The next reason was lack of lymph node evaluation (44% without axillary staging) followed by absence of abdominopelvic imaging in those with symptoms (35%) and lack of histopathological confirmation (31%).

conclusionsPatient-specific clinical data from Tanzania show limitations of current breast cancer management including axillary staging, receipt of formal diagnosis, lack of predictive biomarker testing, and low rates of adjuvant therapy completion. These findings highlight the need to adapt and adopt interventions to increase concordance with guidelines including improving capacity for pathology, developing complete staging pathways, and ensuring completion of prescribed adjuvant therapies.

Indexed as

AdultAgedAged, 80 and overBreast NeoplasmsChemotherapy, AdjuvantFemaleHumansMiddle AgedNeoplasm StagingRetrospective StudiesBreast cancerGlobal oncologyLow resourceTanzaniaTreatment

Identifiers

PMID33971839
PMCPMC8108449
OpenAlexW3160699365

What OpenQuestion holds

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LicenceCC BY
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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.