Evidence map›Paper›PMID 41097789›Full record

ArticleCancers2025

Understanding the Will Rogers Phenomenon in Cholangiocarcinoma Research and Beyond.

Ruslan Akhmedullin, Zhandos Burkitbayev, Tair Koishibayev, Zhanat Spatayev, Abylaikhan Sharmenov, Oxana Shatkovskaya, Dinara Zharlyganova, Almira Manatova, Zhuldyz Kuanysh, Sanzhar Shalekenov and 1 more

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Article in Cancers, 2025. 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Ruslan AkhmedullinDepartment of Medicine, Nazarbayev University School of Medicine, Astana 010000, Kazakhstan.ORCID 0009-0000-7699-0942
Zhandos BurkitbayevNational Research Oncology Centre, Astana 010000, Kazakhstan.
Tair KoishibayevNational Research Oncology Centre, Astana 010000, Kazakhstan.ORCID 0000-0002-2124-8297
Zhanat SpatayevNational Research Oncology Centre, Astana 010000, Kazakhstan.
Abylaikhan SharmenovNational Research Oncology Centre, Astana 010000, Kazakhstan.
Oxana ShatkovskayaNational Research Oncology Centre, Astana 010000, Kazakhstan.
Dinara ZharlyganovaNational Research Oncology Centre, Astana 010000, Kazakhstan.
Almira ManatovaNational Research Oncology Centre, Astana 010000, Kazakhstan.
Zhuldyz KuanyshNational Research Oncology Centre, Astana 010000, Kazakhstan.
Sanzhar ShalekenovNational Research Oncology Centre, Astana 010000, Kazakhstan.
Abduzhappar GaipovDepartment of Medicine, Nazarbayev University School of Medicine, Astana 010000, Kazakhstan.ORCID 0000-0002-9844-8772

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe existing literature highlights a lack of comparative studies between subtypes of cholangiocarcinoma (CC) and the impact of misclassification on the epidemiological parameters.

methodsA retrospective study was conducted to evaluate the surgical outcomes. The authors used Poisson regression with modified errors to calculate the risk ratios (RR) and reported post-estimation marginal effects. Coefficient estimates, variance inflation factors, and Pearson's goodness-of-fit test statistics were used to check for multicollinearity and model fit, respectively. We also performed a reclassification analysis by modeling Klatskin tumors (PCC) as extrahepatic (ECC), reclassifying them as intrahepatic (ICC), and comparing the corresponding changes in estimates.

resultsRegression analysis revealed an increased risk of death in patients with ICC (RR = 2.05, 95% CI 1.11-3.78) and PCC (RR = 2.03, 95% CI 0.97-4.24) compared to those with DCC. When PCC was analyzed as an ECC, the ICC revealed an RR of 1.52 (95% CI 0.84-2.73). Further reclassification of PCC showed an RR of 2.04 for ICC (95% CI: 1.53-3.53). The adjusted marginal effects saw a reduction in the death probability for both ICC and ECC. However, post hoc analyses revealed insufficient evidence for differences between the reclassified models.

conclusionsPatients with DCC had slightly better prognosis compared to ICC and PCC. We found no differences in survival between ICC and ECC (combining DCC and PCC). The decrease in mortality risk due to reclassification in both groups was not confirmed statistically. Future studies should focus on statistical evidence when referring to the Will Rogers phenomenon, instead of inferring from raw comparisons.

Indexed as

cholangiocarcinomamisclassificationsurgical outcomessurvivalWill Rogers phenomenon

Identifiers

PMID41097789
PMCPMC12523421

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