Evidence map›Paper›PMID 37092050›Full record

ArticleAfrican health sciences2022

Factors influencing quality of life among cancer survivors in Kenya.

Mary Kung'u, Lister Onsongo, James O Ogutu

Open access · diamondAbstract read
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Article in African health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

3 authors at 1 institution in 1 country.

Mary Kung'uCommunity Health and Reproductive Health Nursing Department, School of Nursing, Kenyatta University, Nairobi, Kenya.
Lister OnsongoCommunity Health and Reproductive Health Nursing Department, School of Nursing, Kenyatta University, Nairobi, Kenya.
James O OgutuPathology Department, School of Medicine, Kenyatta University, Nairobi, Kenya.
Kenyatta University · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The number of cancer survivors is growing continuously due to advances in treatment of cancer patients. In developed countries, numerous studies on quality of life (QoL) of cancer survivors have been conducted. Little is known regarding the QoL of cancer survivors in Kenya. Therefore, the aim of this study was to explore the factors that contribute to QoL of cancer survivors in Kenya. Methods: A descriptive cross-sectional design was used for the study. Participants were 108 adult cancer survivors. Self and interviewer administered QoL Patient/Cancer Survivor Questionnaire was used. Results: Findings indicate a statistically significant relationship between QoL and age (rs =-.055 p<.05), marital status (rs=.490 p<.01), income (rs =.228 p<.05), stage of cancer diagnosis (rs =-.269. p<.01), year of cancer diagnosis (rs =-.295 p<.01), religious affiliation (rs =-.279, p<.01) and the religion one belonged to (rs =-.198 p<.05). Regression analysis showed that age, stage of cancer diagnosis, time off treatment, educational level, and religious affiliation are significant predictors of QoL in cancer survivors. Conclusions: The findings highlight the importance of key factors associated to QoL in cancer survivors in Kenya. Interventions aimed at early cancer detection, treatment, and spiritual support among cancer survivors will improve QoL.

Indexed as

Cancer SurvivorsNeoplasmsAdultCross-Sectional StudiesHumansKenyaQuality of LifeSurveys and QuestionnairesSurvivorscancer patientsKenyaQuality of Life (QoL)

Identifiers

PMID37092050
PMCPMC10117459
OpenAlexW4323059867

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.