Evidence map›Paper›PMID 39421172›Full record

ArticleEcancermedicalscience2024

Treatment delays for cancer patients in Sub-Saharan Africa: South Africa as a microcosm.

Abba Mallum, Saloni Patel, Elizabeth Olatunji, Godwin Nnko, Adewumi Alabi, John Akudugu, Rugengamanzi Eulade, Adedayo Joseph, Mamsau Ngoma, Twalib Athumani Ngoma and 4 more

Abstract read
In one paragraph

Article in Ecancermedicalscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

14 authors.

Abba MallumSchool of Clinical Medicine, University of KwaZulu-Natal, Durban 4041, South Africa.
Saloni PatelJohns Hopkins University School of Medicine, Baltimore, MD 21205, United States.
Elizabeth OlatunjiJohns Hopkins University School of Medicine, Baltimore, MD 21205, United States.
Godwin NnkoMuhimbili University of Health and Allied Sciences, Dar es Salaam 17105, Tanzania.
Adewumi AlabiNSIA-LUTH Cancer Center, Lagos University Teaching Hospital, Lagos 100254, Nigeria.
John AkuduguFaculty of Medicine and Health Sciences, University of Stellenbosch, Cape Town 7535, South Africa.
Rugengamanzi EuladeMuhimbili University of Health and Allied Sciences, Dar es Salaam 17105, Tanzania.
Adedayo JosephNSIA-LUTH Cancer Center, Lagos University Teaching Hospital, Lagos 100254, Nigeria.
Mamsau NgomaOcean Road Cancer Institute, Dar es Salaam 17105, Tanzania.
Twalib Athumani NgomaMuhimbili University of Health and Allied Sciences, Dar es Salaam 17105, Tanzania.
Afekhai TaiwoNSIA-LUTH Cancer Center, Lagos University Teaching Hospital, Lagos 100254, Nigeria.
Maureen Bilinga TendwaDepartment of Bioinformatics, Rhodes University, Grahamstown 6139, South Africa.
Mariza VorsterSchool of Clinical Medicine, University of KwaZulu-Natal, Durban 4041, South Africa.
Wilfred NgwaJohns Hopkins University School of Medicine, Baltimore, MD 21205, United States.

Funding

Biomaterial Drones for Image-Guided Drug Delivery during radiotherapyR01CA239042 · NCI · JOHNS HOPKINS UNIVERSITY · PI NGWA, WILFRED · 2019 to 2023
$3.2M
NCI NIH HHS R01 CA239042
6 · The paper itself

Abstract

Purpose: Delays in initiating cancer treatment time to treatment initiation (TTI) can negatively impact patient outcomes. This study aimed to quantify the association between TTI and survival in breast, cervical and prostate cancer patients at Inkosi Albert Luthuli Central Hospital (IALCH) in KwaZulu-Natal, South Africa, as a microcosm of Sub-Saharan Africa (SSA). Methods: We analyzed electronic medical records of patients diagnosed with breast, cervical or prostate cancer at IALCH between 2010 and 2020. Median TTI was calculated for different treatment modalities. To assess the link between treatment delay and mortality, we employed a Cox proportional hazards model to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), treating breast cancer and patients over 40 as competing events. Additionally, Kruskal-Wallis one-way analysis and linear regression were used to compare TTI across racial groups. Results: The study included patients with breast (44%), cervical (44%) and prostate cancer (12%). Mean age at diagnosis was 62.6, 56.6 and 73.0 years, respectively. Breast cancer patients experienced the longest delays for mastectomy (median 18.4 weeks), followed by prostate cancer patients waiting for radiotherapy (median 16.6 weeks). Significantly longer TTI for radiotherapy was observed in patients younger than 40 with cervical (HR = 2.30, 95% CI: 2.16-2.44, Conclusion: This study identified significant delays in treatment initiation (TTI) for breast, prostate and cervical cancer patients at Inkosi Albert Luthuli Central Hospital (IALCH) in South Africa. These delays were concerning, particularly for younger patients and individuals across all racial backgrounds. Delays in treatment initiation have been linked to increased mortality risk in other studies, highlighting the urgency of addressing this issue. Furthermore, this study serves as a valuable model for future research throughout SSA to collectively address the challenges of treatment delays and improve cancer care for the region.

Indexed as

breast cancercervical cancerprostate cancerSub-Saharan Africa (SSA)time to treatment initiation and treatment delay

Identifiers

PMID39421172
PMCPMC11484685

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.