Evidence map›Paper›PMID 42110306›Full record

ArticleCancer management and research2026

Resection Rates and Predictors of Resectability of Pancreatic Tumors at Mulago Hospital: A Retrospective Cross-Sectional Study.

Godfrey Kikuba, Brian Kasagga, Paul Ssempebwa, Olivia Kituuka, Paul Okeny

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Article in Cancer management and research, 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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5 · Who and what money

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5 authors.

Godfrey KikubaDepartment of Surgery, Makerere University College of Health Sciences, Kampala, Uganda.ORCID 0009-0001-2792-0961
Brian KasaggaDepartment of Surgery, Makerere University College of Health Sciences, Kampala, Uganda.ORCID 0000-0002-8292-7322
Paul SsempebwaDepartment of Surgery, Makerere University College of Health Sciences, Kampala, Uganda.
Olivia KituukaDepartment of Surgery, Makerere University College of Health Sciences, Kampala, Uganda.
Paul OkenyDepartment of Surgery, Makerere University College of Health Sciences, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pancreatic tumors are among the most lethal malignancies globally, with surgical resection being the only curative option. However, in low-income countries, most patients present at advanced stages, limiting surgical eligibility. Accurate preoperative prediction of resectability is essential for effective surgical planning. This study evaluated clinical, biochemical, and radiological predictors of pancreatic tumor resectability at Mulago National Referral Hospital (MNRH). Methods: We conducted a retrospective cross-sectional study of 100 patients diagnosed with pancreatic tumors between January 2021 and December 2024. Demographic, clinical, biochemical, and radiological data were collected. Resection rates were calculated. Associations between independent variables and resectability were first explored using independent-samples t-tests and crude odds ratios. Predictors were then assessed with univariate and multivariate logistic regression models to obtain adjusted odds ratios. P < 0.05 at 95% confidence interval were considered to be statistically significant. Results: The overall resection rate was 21%. Although 55% of patients were deemed resectable on imaging, 61.8% were found unresectable intra-operatively due to vascular invasion or metastases. Most tumors (92%) were located in the pancreatic head, and 51% were stage III or IV. In multivariate analysis, only tumor size >4 cm was significantly associated with irresectability (AOR = 0.054, 95% CI: 0.015-0.193, p < 0.001). Conclusion: Despite favorable imaging, many patients are unresectable at surgery. Tumor size is an independent predictor of resectability. Enhanced diagnostic imaging is needed to improve preoperative assessment in low-resource settings.

Indexed as

CT scanpancreatic tumorsresectability predictorssurgical resection

Identifiers

PMID42110306
PMCPMC13156974

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