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Beyond predictive performance: A systematic review and critical methodological appraisal of AI/ML and conventional modelling strategies in breast, colorectal, and pancreatic Cancer.

BACKGROUND: Predictive modelling for cancer risk, treatment-related complications, and survival is central to precision oncology. Conventional logistic regression (LR) and Cox proportional hazards (CoxPH) regression remain widely used but are limited when modelling nonlinear interactions, high-dimensional imaging features, and multimodal clinical-metabolic predictors. Artificial intelligence (AI) and machine learning (ML) methods offer expanded capability through automated feature extraction, ensemble learning, and flexible survival modelling, but the evidence on when AI/ML adds value over conventional models across cancer sites and predictive tasks remains fragmented. OBJECTIVE: To systematically evaluate the methodological performance, validation strategies, and translational limitations of AI/ML models compared with conventional statistical models in published predictive-modelling studies for breast, colorectal, or pancreatic cancer. METHODS: PubMed, Scopus, and Web of Science were searched for studies published between January 2019 and March 2025. Two reviewers independently conducted title-and-abstract screening, full-text eligibility assessment, and PROBAST risk-of-bias assessment. Sixty-five studies (n = 907,567 participants) were narratively synthesised by cancer site, predictive task, model family, comparator, validation strategy, predictor modality, and calibration or explainability reporting. RESULTS: The 65 studies comprised breast cancer (n = 35), colorectal cancer (n = 21), and pancreatic cancer (n = 9). AI/ML superiority over LR and CoxPH was task- and data-dependent. CNN- and U-Net-based models predominated in imaging and body-composition tasks, tree-based ensembles consistently outperformed LR for tabular perioperative complication prediction, and CoxPH remained competitive, and in the largest pancreatic risk study, superior to XGBoost (C-index 0.802 vs 0.723) in well-structured datasets. PROBAST analysis-domain risk was moderate in 54 of 65 studies (83%), driven by limited external validation, sparse calibration reporting (11/65), and few decision-curve analyses (7/65). CONCLUSION: AI/ML adds the most methodological value in imaging-derived feature extraction and nonlinear perioperative prediction, while conventional regression remains preferable in large, structured datasets with linear predictors. Clinical translation requires standardised body-composition definitions, external validation, calibration assessment, decision-curve analysis, and explainability, in line with TRIPOD+AI and CLAIM standards.

Humans

APOL1 kidney disease: a critical narrative review of molecular mechanisms, clinical heterogeneity, and the emerging therapeutic landscape.

BACKGROUND: The G1 and G2 variants of the APOL1 gene represent significant genetic risk factors for APOL1 kidney disease and contribute substantially to the excess burden of renal disease observed in individuals of African ancestry. Importantly, both variants exhibit incomplete penetrance, with only approximately 15-20% of high-risk genotype carriers ultimately developing overt nephropathy. OBJECTIVE: To provide a critically appraised, clinically oriented narrative synthesis of APOL1 kidney disease that (i) assigns an explicit certainty rating to each major mechanistic and clinical claim, (ii) identifies where published estimates diverge, where associations remain contested, and where conclusions have been overstated in the secondary literature, and (iii) aligns terminology, testing guidance and therapeutic expectations with the conclusions of the 2025 KDIGO Controversies Conference and with clinical trial data available to August 2026. METHODS: This literature narrative review was performed using a literature search of PubMed and Scopus focusing on APOL1-related nephropathy. Mainly studies published from 2010 to 2026 were considered; however, some selected historical papers from 2005 to 2010 were used for better understanding of the underlying mechanisms and history. Used search terms were "APOL1," "APOL1 risk variants," "chronic kidney disease," AMPLITUDE trial, MZE829, HORIZON trial, "focal segmental glomerulosclerosis," "HIV-associated nephropathy," "podocyte injury," "inaxaplin," "VX-147," KDIGO 2025, and "antisense oligonucleotides." Trial status and topline results for agents in development were additionally verified against ClinicalTrials.gov registrations and sponsor disclosures. The literature search was last updated on 10 August 2026. The inclusion criteria of the study were peer-reviewed original articles, genome-wide association studies, randomised controlled trials, translational studies, mechanistic investigations, and high-quality review articles published in the English language. Exclusion criteria included conference abstracts without peer review, duplicate papers, non-English publications with unreliable translation, and case reports with no relevance to the underlying mechanisms. More attention was paid to studies focusing on molecular pathogenesis of APOL1 nephropathy, second-hit pathophysiology, genotypes/phenotypes, and new therapies (e.g. inhibitors such as Inaxaplin). The review method and design have been prepared according to SANRA (Scale for the Assessment of Narrative Review Articles) criteria. Among eligible articles, priority was given to studies with larger sample sizes, more recent publication dates, higher-impact peer-reviewed journals, and direct clinical or mechanistic relevance to APOL1-associated nephropathy; where multiple studies addressed the same question, the most methodologically rigorous and most recent source was preferentially cited. To move beyond description, each principal claim carried forward into this review was assigned a qualitative certainty rating (high, moderate, low or very low) on the basis of study design, consistency across independent cohorts, directness of the evidence to human disease, and precision of the estimate. These ratings, together with the study design that would be required to resolve each remaining uncertainty, are presented in Table 5. This grading represents a structured judgement by the authors and is not a formal GRADE assessment. RESULTS: Pathogenic actions of APOL1 risk alleles depend on toxic gain-of-function activities that result from the disruption of ion channels. Mitochondrial dysfunction, endoplasmic reticulum stress, and inflammasome activation play roles as secondary downstream modulators of podocyte damage. The existence of incomplete penetrance and lack of symptoms in people with high-risk alleles highlights the need for secondary triggers, including environmental, infectious, and inflammatory factors, for disease onset and progression. High-risk APOL1 genotypes increase the likelihood of rapidly progressing kidney diseases like FSGS, which amplify susceptibility in HIVAN when accompanied by secondary causes like HIV infection. Management is mainly through renin-angiotensin antagonists, but recent treatments include antisense oligonucleotides, immunomodulators, and small molecule inhibitors like inaxaplin. Although promising, inaxaplin (VX-147) showed a ~47% reduction in urine protein/creatinine ratio (UPCR) in Phase 2a trial; however, these findings are based on a relatively small sample size, an open-label study design, and short-term follow-up, and therefore require confirmation in ongoing Phase 3 studies. As this is a narrative review rather than a primary study, no new patient-level data are reported. Across the studies synthesised, high-risk APOL1 genotypes were consistently associated with podocyte injury and with a faster decline in kidney function than low-risk genotypes; however, the magnitude of this association varied substantially with how cohorts were ascertained. The association is robust and reproducible for focal segmental glomerulosclerosis, HIV-associated nephropathy, and hypertension-attributed kidney failure, and remains inconsistent for diabetic kidney disease. Therapeutic development has accelerated, but the supporting clinical evidence remains early phase. Inaxaplin (VX-147) reduced the urine protein-to-creatinine ratio by approximately 47.6% at week 13 in a 16-participant, single-group, open-label Phase 2a study, and is now being evaluated in the randomised, double-blind, placebo-controlled Phase 2/3 AMPLITUDE trial (NCT05312879), whose pre-specified week 48 interim analysis is anticipated in early 2027. MZE829, an orally administered APOL1 inhibitor, produced a mean 35.6% reduction in the urine albumin-to-creatinine ratio at 12 weeks in the Phase 2 HORIZON study; because HORIZON was a small, open-label, single-arm basket study (15 participants enrolled, 12 evaluable) whose primary endpoints were safety and tolerability, this reduction is neither placebo adjusted nor the result of a formal test of efficacy. To date, no APOL1-targeted agent has demonstrated benefit on a hard kidney endpoint. CONCLUSION: APOL1 is the clearest current example of a genetically defined, mechanism-targetable kidney disease, but its evidence base is uneven. The genetic association is firmly established; whereas much of the mechanistic literature derives from overexpression systems, several downstream pathways remain contested, and every APOL1-targeted therapy is so far supported only by short-term, surrogate-endpoint data. The principal unresolved issues are the determinants of incomplete penetrance, the absence of a validated progression biomarker and of any model reproducing the common slowly progressive phenotype, and the long-term efficacy and safety of APOL1-directed therapy. Genotype-guided risk stratification is therefore best regarded as clinically reasonable but not yet proven, and routine population-level screening is not currently supported.

AMPLITUDE trial

The Childhood Cancer and Leukemia International Consortium (CLIC): Expanding global collaboration in pediatric cancer etiology research.

Childhood cancers are rare, but incidence has risen modestly in countries with robust registration, partly reflecting improved diagnosis. In high-income countries, cancer is the leading cause of disease-related death in children. Marked inequities in incidence, survival, and research capacity underscore the need for large-scale collaboration to identify environmental, genetic, and contextual determinants of risk. The Childhood Cancer and Leukemia International Consortium (CLIC) was established in 2007 to study the etiology of childhood leukemia and later expanded in 2019 to include other childhood cancers, principally solid tumors. CLIC pools harmonized, individual-level data from case-control and cohort studies, obtained through interviews, record linkage (insurance claims, registries), or geographic information systems, and integrates germline genomic data where available. Membership has grown from 13 studies in 9 countries to 57 studies in 21 countries; recruitment spans the early 1960s to the present and encompasses approximately 150,000 cases across all tumor types and 300,000 controls with clinical, demographic, and exposure data, centralized via harmonized data dictionaries at the Data Coordination Center, established in 2014 at the International Agency for Research on Cancer, and supported by a secure analysis platform. Pooled analyses across diverse populations have implicated parental age, prenatal vitamin or folic acid use, mode of delivery, fetal growth, selected congenital anomalies, occupational or household exposures (e.g., pesticides), paternal smoking, and markers of early-life immune modulation (e.g., breastfeeding, daycare attendance) in leukemia risk, informing carcinogen evaluation and prevention. The integration of genetic ancestry and germline susceptibility data is clarifying ancestry-related differences in leukemia biology and outcomes, while confirming risk loci with population-specific effects. CLIC is now adding polygenic risk scores and exposomic data to refine etiologic subtyping and identify modifiable pathways, while broadening representation from underserved regions through partnership-building and capacity-strengthening.

Humans

Navigating Social Media: Balancing Connectivity With Media Literacy to Combat Misinformation and Protect Mental Well-Being.

BACKGROUND: The pervasive use of social media has created a complex digital ecosystem where high connectivity coexists with significant challenges, including the rapid spread of misinformation, particularly regarding mental health, and documented negative impacts on psychological well-being. Platform architectures designed for engagement maximization have been identified as central factors in both issues. OBJECTIVE: This paper critically analyzes the interconnected relationships between social media use, misinformation dissemination, and mental health impacts, with particular attention to psychiatric misinformation across diagnostic categories (e.g., depression, anxiety, ADHD). A primary objective is to evaluate the potential of advanced critical digital literacy frameworks to serve as protective mechanisms against these dual threats. METHODS: A systematic search was conducted following PRISMA 2020 guidelines across APA PsycInfo, PubMed, JSTOR, and Google Scholar for literature published between January 2018 and March 2026 (updated from the original 2023 search). The search yielded 2672 records. After removing 624 duplicates, 2048 records underwent title and abstract screening, with 1802 excluded. The remaining 246 full-text articles were assessed for eligibility, resulting in 86 studies included in the final qualitative synthesis. Inter-rater reliability was established (Cohen's κ = 0.82). Quality assessment was conducted using the Joanna Briggs Institute Checklist, AXIS, and CASP tools, with findings weighted by methodological quality. A thematic analysis was undertaken to synthesize findings. RESULTS: The analysis reveals that core architectural features of social media platforms, algorithmic curation and engagement-based metrics, simultaneously foster environments ripe for misinformation spread and contribute to psychological distress, including anxiety, depression, and harmful social comparison. Psychiatric misinformation specifically (e.g., inaccurate claims about treatment effectiveness, diagnostic criteria, and medication side effects) represents a growing concern, particularly on image- and video-based platforms. The findings indicate that conventional media literacy approaches focused solely on fact-checking are insufficient. Instead, a critical digital literacy framework encompassing algorithmic awareness, data literacy, and emotional awareness is essential for building user resilience, with evidence from high-quality systematic reviews supporting this approach. CONCLUSIONS: Navigating the complexities of modern social media requires an integrated approach combining "pedagogies of play" for experiential skill development with advocacy for structural change (e.g., algorithmic transparency, well being by design principles). This dual strategy empowers individual users to critically engage with digital content while advocating for ethical platform design, thereby safeguarding both mental well-being and democratic discourse. Implications for educators, mental health professionals (including competencies for addressing patient encounters with psychiatric misinformation), policymakers, and platform designers are discussed.

Humans

Structured robotic colorectal training in a non-tertiary NHS hospital: a 502-case consecutive cohort implementation study.

Robotic-assisted colorectal surgery has expanded rapidly across NHS practice in the UK. Structured unit-wide training pathways are essential for safe technology adoption, yet published outcome data from non-tertiary hospitals remain limited. This study describes the implementation and feasibility of a unit-wide robotic colorectal program at a high-volume non-tertiary hospital, reporting outcomes across 502 consecutive resections performed by eight consultant surgeons and presenting these in the context of nationally published benchmarks. A retrospective cohort study of 502 consecutive robotic colorectal resections performed at York Teaching Hospital between May 2022 and December 2025. Eight consultant surgeons (A-H) participated in a structured four-phase training pathway incorporating simulation training, proctored cases, complexity-based case progression, and formal credentialing. Primary outcomes were 30-day mortality, unplanned return to theatre (RTT), and anastomotic leak (AL). Anastomotic leak was calculated using only patients who underwent anastomosis as the denominator. Procedure-stratified and individual surgeon outcomes with 95% confidence intervals were reported. Risk-adjusted cumulative sum (RA-CUSUM) analysis was performed to evaluate learning curves. Outcomes are presented descriptively alongside nationally published reference data; no formal statistical comparison against national benchmarks was performed. 502 robotic colorectal resections were performed. Mean patient age was 70.0 ± 11.3 years; 58.4% were male. Median ASA grade was III. The indication was malignancy in 89.2% of cases. Length of stay was non-normally distributed and is therefore reported using median and interquartile range in the revised analysis. Key outcomes: - 30-day mortality: 1.0% (5/502; 95% CI 0.4-2.3%) - Unplanned return to theatre (RTT): 5.2% (26/502; 95% CI 3.6-7.5%) - Anastomotic leak (AL): 3.3% (15/450; 95% CI 2.0-5.5%; denominator = patients with anastomosis) - 30-day unplanned readmission: 5.0% (25/502; 95% CI 3.4-7.2%) - Conversion to open surgery: 3.6% (18/502; 95% CI 2.3-5.6%) - Lymph node yield ≥12: 91.3% of cancer resections - R0 resection rate: 95.1% of cancer resections All primary outcomes fell within or below the published reference ranges used for descriptive context. RA-CUSUM trajectories were heterogeneous: no surgeon crossed the predefined upper control limit, but several curves showed later upward movement. Accordingly, the analysis is interpreted as safety surveillance rather than evidence of uniform performance improvement. RA-CUSUM monitoring showed that no surgeon crossed the predefined upper control limit; however, heterogeneous trajectories precluded a claim of uniform performance improvement.

Humans