Evidence map›Paper›PMID 29746541›Full record

ArticlePloS one2018

Demonstration of an algorithm to overcome health system-related barriers to timely diagnosis of breast diseases in rural Zambia.

Leeya F Pinder, Jean-Baptiste Nzayisenga, Aaron Shibemba, Victor Kusweje, Hector Chiboola, Mary Amuyunzu-Nyamongo, Sharon Kapambwe, Catherine Mwaba, Pavlo Lermontov, Chibamba Mumba and 2 more

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

12 authors.

Leeya F PinderDepartment of Obstetrics and Gynecology, Division of Global Women's Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.ORCID 0000-0002-8929-7810
Jean-Baptiste NzayisengaDepartment of Obstetrics and Gynecology, Women and Newborn Hospital, Lusaka Zambia, Lusaka, Zambia.
Aaron ShibembaDepartment of Obstetrics and Gynecology, Women and Newborn Hospital, Lusaka Zambia, Lusaka, Zambia.
Victor KuswejeDepartment of Pathology, Kabwe General Hospital, Kabwe, Zambia.
Hector ChiboolaDepartment of Social Sciences, Chreso University, Lusaka, Zambia.
Mary Amuyunzu-NyamongoAfrican Institute for Health and Development, Nairobi, Kenya.
Sharon KapambweMinistry of Health, Lusaka, Zambia.
Catherine MwabaCancer Diseases Hospital, Lusaka, Zambia.
Pavlo LermontovDepartment of Pathology, Kabwe General Hospital, Kabwe, Zambia.
Chibamba MumbaDepartment of Pathology, Kabwe General Hospital, Kabwe, Zambia.
Ronda Henry-TillmanDepartment of Surgery, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America.
Groesbeck P ParhamDepartment of Obstetrics and Gynecology, Division of Global Women's Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.

Funding

UNC Global Women’s Health FellowshipT32HD075731 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHI, BENJAMIN H. · 2013 to 2024
$2.4M
NICHD NIH HHS T32 HD075731
6 · The paper itself

Abstract

backgroundLong delays to diagnosis is a major cause of late presentation of breast diseases in sub-Saharan Africa.

aimsWe designed and implemented a single-visit breast care algorithm that overcomes health system-related barriers to timely diagnosis of breast diseases.

methodsA multidisciplinary team of Zambian healthcare experts trained a team of mid- and high-level Zambian healthcare practitioners how to evaluate women for breast diseases, and train trainers to do likewise. Working collaboratively, the two teams then designed a clinical platform that provides multiple breast care services within a single visit. The service platform was implemented using a breast outreach camp format, during which breast self-awareness, psychosocial counseling, clinical breast examination, breast ultrasound, ultrasound-guided biopsy, imprint cytology of biopsy specimens and surgical treatment or referral, were offered within a single visit.

resultsEleven hundred and twenty-nine (1129) women attended the camps for breast care. Mean age was 35.9 years. The majority were multiparous (79.4%), breast-fed (76.0%), and reported hormone use (50.4%). Abnormalities were detected on clinical breast examination in 122 (10.8%) women, 114 of whom required ultrasound. Of the 114 who underwent ultrasound, 48 had identifiable lesions and were evaluated with ultrasound-guided core needle biopsy (39) or fine-needle aspiration (9). The concordance between imprint cytology and histopathology was 100%, when breast specimens were classified as either benign or malignant. However, when specimens were classified by histopathologic subtype, the concordance between imprint cytology and histology was 85.7% for benign and 100% for malignant lesions. Six (6) women were diagnosed with invasive cancer. Eighteen (18) women with symptomatic breast lesions had next-day surgery. SIGNIFICANCE: Similar to its impact on cervical cancer prevention services, a single visit breast care algorithm has the potential to overcome health system-related barriers to timely diagnosis of breast diseases, including cancer, in rural African settings.

Indexed as

AlgorithmsRural Health ServicesAdultBreast DiseasesCommunity Health PlanningFemaleHumansMiddle AgedZambia

Identifiers

PMID29746541
PMCPMC5945023

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.