Evidence map›Paper›PMID 36708066›Full record

ArticleCancer medicine2023

Assessment of survival outcomes among lung cancer patients at the National and Referral Hospital in Kenya.

Nur Swaleh Said, Amsalu Degu

Abstract read
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Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Survival Rates and Predictors of Mortality in Lung Cancer: A Multi-Centre Study in Kerala.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Nur Swaleh SaidDepartment of Pharmaceutics and Pharmacy Practice, School of Pharmacy and Health Sciences, United States International University-Africa, Nairobi, Kenya.
Amsalu DeguDepartment of Pharmaceutics and Pharmacy Practice, School of Pharmacy and Health Sciences, United States International University-Africa, Nairobi, Kenya.ORCID 0000-0002-6562-0548

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLung cancer has a low overall survival rate linked to late diagnosis and metastasis. Unfortunately, comprehensive data within the African continent are limited due to the lack of a registry, low public awareness of lung cancer, financial constraints, and inadequate screening and treatment facilities. In addition, there was a lack of conclusive data in our setting. Therefore, this study aimed to assess survival outcomes among lung cancer patients at Kenyatta National Hospital.

methodsA hospital-based retrospective cohort study was performed to examine the survival outcomes of 151 lung cancer patients. All eligible lung cancer patients diagnosed and treated in the facility between January 1, 2018, and December 31, 2020, were included. The patients were retrospectively followed from the date of primary cancer diagnosis until death or the last follow-up period. The Statistical Package for the Social Sciences (SPSS) version 20.0 statistical software was used to enter and analyze the data. Kaplan-Meier survival and Cox regression analysis were employed to determine median survival and predictors of mortality, respectively.

resultsThe mean and median follow-time was 18.2 and 17.5 months, respectively. Most (98%) of the patients had non-small cell lung cancer. The 2-year survival rate was 66.7%, with 59.6% of patients having developed distant metastasis during the follow-up, while 25.1% were deceased. The median cancer-specific survival time among the study population was 18.0 ± 3.40 months. Cox regression analyses showed that patients with distant metastasis had five times more risk of dying (AHR: 4.74, 95% CI: 2.1-10.8, p < 0.001) than patients without distant metastasis.

conclusionsThe overall two-year survival rate of lung cancer patients at the Kenyatta National Hospital was 66.7%, with most patients developed distant metastasis during the follow-up period. Distant metastasis was the only significant predictor of mortality among lung cancer patients in our setting.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsHospitalsHumansKenyaReferral and ConsultationRetrospective StudiesSurvival RateKenyaKenyatta National Hospitallung cancersurvival outcomes

Identifiers

PMID36708066
PMCPMC10166906

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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.