Evidence map›Paper›PMID 37901048›Full record

ArticleBreast care (Basel, Switzerland)2023

How Can Oncoplastic Breast Surgery Contribute to the Management of Locally Advanced Breast Cancer in Sub-Saharan Africa?

Omar Abdul Hameed Ali, Ahmed Elhaj

Open access · greenAbstract read
In one paragraph

Article in Breast care (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

2 authors at 2 institutions in 3 countries.

Omar Abdul Hameed AliDepartment of Breast Surgery, Khartoum Breast Care Centre, Khartoum, Sudan.
Ahmed ElhajDepartment of Medical Oncology, Khartoum Breast Care Centre, Khartoum, Sudan.
Breast Cancer Care · GBSudan Medical Specialization Board · SD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Because of resource constrains in sub-Saharan African countries, breast-conserving surgery (BCS) has no role in patients with locally advanced breast cancer (LABC) following neoadjuvant chemotherapy (NACT), and mastectomy remains the standard surgical treatment for these patients. Objectives: The first objective of the study was to assess the safety of oncoplastic BCS in patients with LABC who showed good clinical response to NACT in a breast center with enhanced level of resources in Sudan. The second objective was to assess the cosmetic outcome. Patients and Methods: Two hundred and fifty patients with LABC were treated with NACT at Khartoum Breast Care Center during the period 2013-2019. Out of this, 52 patients were surgically treated with oncoplastic breast-conserving surgery. Kaplan-Meier curve was used to calculate the survival rates. The cosmetic outcome was subjectively assessed by the Harris scale. Results: The median follow-up period was 53 months. The 3- and 5-years distant metastasis-free survival rates were 92.9% and 82.2%, respectively. One patient developed regional recurrence, and 6 patients developed distant metastasis. Eighty percentage of patients were admitted to have good to excellent cosmetic outcome. Conclusion: This Sudanese experience showed that oncoplastic BCS is oncologically safe and aesthetically satisfactory in patients with LABC who demonstrated good clinical response to NACT in a setting with enhanced levels of resources for breast cancer care.

Indexed as

Locally advanced breast cancerNeoadjuvant chemotherapyOncoplastic breast surgerySub-Saharan AfricaSudan

Identifiers

PMID37901048
PMCPMC10601675
OpenAlexW4384947486

What OpenQuestion holds

Textmetadata
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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.