Evidence map›Paper›PMID 33854679›Full record

ArticleThe Pan African medical journal2021

A review of computed tomography patterns of metastatic breast cancer patients undergoing treatment at a private oncology centre in Ghana.

Yaw Boateng Mensah, Clement Edusa, Josephine Nsaful, Naa Adjeley Mensah

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Yaw Boateng MensahDepartment of Radiology, University of Ghana Medical School, College of Health Sciences, Korle Bu, Accra, Ghana.
Clement EdusaSweden Ghana Medical Centre, Accra, Ghana.
Josephine NsafulDepartment of Surgery, University of Ghana Medical School, College of Health Sciences, Korle Bu, Accra, Ghana.
Naa Adjeley MensahRegional Institute of Population Studies, University of Ghana, Legon, Accra, Ghana.
University of Ghana · GHKorle Bu Teaching Hospital · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionbreast cancer is the commonest malignant disease in Ghanaian women and accounts for 17% of cancer-related deaths in the country. It has been classified into molecular subtypes depending on the presence or absence of hormone receptors and the human epidermal growth factor receptor 2. Computed tomography is often the preferred modality for monitoring metastatic disease due to its ability to determine the extent of local and metastatic disease.

methodsthis was a retrospective study conducted at Sweden Ghana Medical Centre (SGMC). Hospital records and chest and abdominal computed tomography (CT) scan images of breast cancer patients who had been managed at SGMC between June 2016 and August 2019 were used to document age, gender, histological group, type of surgical intervention done, molecular subtypes of the disease and imaging findings. Microsoft Excel 2016 and SPSS version 20.0 were used to summarise the data obtained into tables, charts and to test for significant associations.

resultsthe most common site of breast cancer metastasis was lymph nodes. The three commonest sites of distant metastases were the lung seen in 44 patients (55.3%), bone in 37 patients (44.6%) and liver in 33 patients (39.8%). Chi square test for association between the molecular subtypes of the breast cancer and proportion of patients that showed a particular type of metastases revealed that, the differences noted for lung, pleural and cardiac metastases were statistically significant, that for bone and liver were not.

conclusionbreast cancer commonly metastasised to lymph nodes, lung, bone, liver, pleura and heart in descending order. The commonest CT patterns for metastases were multiple nodules for lung, effusion for pleura and heart and osteolytic lesions for bone.

Indexed as

Tomography, X-Ray ComputedAdultAgedAged, 80 and overBreast NeoplasmsBreast Neoplasms, MaleFemaleGhanaHumansLymphatic MetastasisMaleMiddle AgedNeoplasm MetastasisRetrospective StudiesBreast cancercomputed tomographyGhanahistological subtypesmetastasis

Identifiers

PMID33854679
PMCPMC8017360
OpenAlexW3122731568

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.