Evidence map›Paper›PMID 34601708›Full record

ArticleJournal of gastrointestinal cancer2022

Survival Outcomes Among Pancreatic Cancer Patients at Kenyatta National Hospital.

Faith Moraa, Amsalu Degu

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Article in Journal of gastrointestinal cancer, 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
–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

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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.

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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

2 authors.

Faith MoraaDepartment 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. amsaludegu@yahoo.com.ORCID http://orcid.org/0000-0002-6562-0548

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMortality from pancreatic cancer has risen fast in the past two decades in East Africa, including Kenya. However, there was a paucity of conclusive data about the survival of pancreatic cancer patients in the study setting. Hence, this study aimed to assess the survival outcomes of pancreatic cancer patients at Kenyatta National Hospital.

methodsA hospital-based retrospective cohort analysis was used to evaluate the survival outcomes among pancreatic cancer patients treated in the study setting from 1 January 2015 to 31 December 2019. A total of 64 eligible pancreatic cancer patients were included in the study. In the pre-designed data abstraction tool, the data were collected by reviewing the medical records of the patients. The data were analyzed using the Statistical Package for the Social Sciences version 22 software. The mean survival time was estimated using Kaplan-Meier survival analysis. Cox regression analysis was employed to estimate the predictors of mortality among pancreatic cancer patients.

resultsThe mean age of the study participants was 60.38 ± 12.61 years. Most of the patients had adenocarcinoma (96.9%) and were diagnosed at an advanced stage of the disease. The overall mean and median survival estimate for pancreatic cancer was 48.7 ± 9.7 and 39.0 ± 23.9 months, respectively. The present study showed that the overall survival rate of pancreatic cancer patients was 79.7%.

conclusionThe mortality rate of pancreatic cancer in the present study was 20%. The overall mean survival estimate for pancreatic cancer was 48.7 ± 9.7 months, and the majority had disease progression in the last follow-up period.

Indexed as

Pancreatic NeoplasmsAgedHospitalsHumansKaplan-Meier EstimateMiddle AgedRetrospective StudiesSurvival RateKenyatta National HospitalPancreatic cancerSurvival outcomes

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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.