Evidence map›Paper›PMID 42001381›Full record

ArticleDiscover oncology2026

Prognostic influence of clinicopathological and laboratory factors on colorectal cancer survival in Amhara region oncology centers, retrospective cohort study, Ethiopia, 2024.

Getachew Tesfaw Walle, Seteamlak Adane Masresha, Tegene Atamenta Kitaw, Betelhem Walelgn Dagnew, Biruk Beletew Abate, Molla Azmeraw

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Getachew Tesfaw WalleSchool of Nursing and Midwifery, College of Medical and Health Science, Bahir Dar University, 79, Bahir Dar, Ethiopia. tesfawwalle@gmail.com.ORCID http://orcid.org/0009-0005-6129-4131
Seteamlak Adane MasreshaSchool of Public health, College of Health Science, Woldia University, Woldia, Ethiopia.
Tegene Atamenta KitawSchool of Nursing, College of Health Science, Woldia University, Woldia, Ethiopia.
Betelhem Walelgn DagnewSchool of Nursing, College of Health Science, Woldia University, Woldia, Ethiopia.
Biruk Beletew AbateSchool of Nursing, College of Health Science, Woldia University, Woldia, Ethiopia.
Molla AzmerawSchool of Nursing, College of Health Science, Woldia University, Woldia, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionColorectal cancer (CRC), originating in the colon or rectum, is a leading cause of mortality worldwide. Patient survival is influenced by multiple factors, including access to healthcare, early diagnosis, and treatment.

objectiveThis study evaluates the prognostic influence of clinicopathological and laboratory factors on colorectal cancer survival.

methodsA cohort study was conducted at an institutional level retrospective cohort, including 464 participants who began follow-up between July 1, 2018, and June 30, 2023. Data were entered into Epidata V4.2 and analyzed using STATA V14. Cox regression models were applied to identify factors associated with mortality. Variables with a P-value < 0.25 in the bivariable analysis were included in the multivariable Cox regression model, with statistical significance set at P ≤ 0.05.

resultsSeveral factors significantly impacted survival, including rectal cancer (AHR = 1.88, 95% CI: 1.27-2.78), colorectal cancer (AHR = 2.29, 95% CI: 1.56-3.36), baseline ALP levels ≥ 127 IU/L (AHR = 1.56, 95% CI: 1.15-2.09), poor WHO/ECOG performance status (AHR = 2.41, 95% CI: 1.74-3.34), and late-stage cancer (AHR = 3.46, 95% CI: 2.14-5.59). CONCLUSION AND RECOMMENDATIONS: Key determinants of CRC survival include ALP levels, tumor stage, performance status, and tumor location. Enhancing diagnostic capabilities and ensuring continuous patient monitoring may improve outcomes.

Indexed as

Colorectal cancerDeterminantsPrognosisSurvival

Identifiers

PMID42001381
PMCPMC13338070

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LicenceCC BY-NC-ND
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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.