Understanding the Will Rogers Phenomenon in Cholangiocarcinoma Research and Beyond

Ruslan Akhmedullin, Zhandos K. Burkitbayev, Tair Koishibayev, Zhanat Spatayev, Abylaikhan Sharmenov, Oxana Shatkovskaya, Dinara Zharlyganova, A Manatova, Zhuldyz Kuanysh, S. B. Shalekenov

1 more author

Abduzhappar Gaipov

2025

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.3390/cancers17193263
Data confidence 85 high
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Abstract

BACKGROUND: The existing literature highlights a lack of comparative studies between subtypes of cholangiocarcinoma (CC) and the impact of misclassification on the epidemiological parameters. METHODS: A 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. RESULTS: Regression 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. CONCLUSIONS: Patients 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.