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Record W4414251903 · doi:10.3390/cancers17183014

Assessment of Psychological Burden in Individuals with Hereditary Risk of Pancreatic Cancer Under Surveillance: Evaluation of Distress 3 Years After Enrollment

2025· article· en· W4414251903 on OpenAlexaff
Veronica Marinelli, Maria Angela Mazzi, Olga Maggioni, Elisa Venturini, Michela Rimondini, Michèle Milella, Salvatore Paiella, Roberto Salvia

Bibliographic record

VenueCancers · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsPancreas Centre (Canada)
FundersFondazione Italiana per la ricerca sulle Malattie del Pancreas
KeywordsDistressCoping (psychology)Pancreatic cancerLongitudinal studySocial supportDiseasePsychological distressPhone

Abstract

fetched live from OpenAlex

Background: Pancreatic cancer (PC) remains one of the deadliest malignancies, with long-term survival often reliant on early detection through surgery and chemotherapy. Unfortunately, the late-stage presentation of the disease contributes to its poor prognosis, leading to an increased focus on surveillance for high-risk individuals (HRIs) to facilitate earlier diagnosis. Despite the growing implementation of such programmes globally, there is a lack of longitudinal studies examining the benefits of PC surveillance, particularly regarding the well-being of participants. The study aimed to evaluate the distress experienced by HRIs 3-years after engaging in PC screening at Verona Pancreas Institute and to describe which participant characteristics contributed to the increase in stress. Methods: This is a longitudinal follow-up (FU) of a previously published cohort. HRIs with heredo-familial predisposition undergoing PC surveillance with MRCP and a clinical visit were re-evaluated from 2019 to 2023 in the same psychological assessment using Perceived Stress Scale (PSS), General Self-Efficacy Scale (GSES), Coping Orientation to Problems Experienced (COPE) and The Scale of Perceived Social Support (MSPSS) 3 years after the baseline assessment. The FU assessments were conducted by a clinical psychologist via telephone after the radiological and clinical evaluations were made. Results: Of the 54 HRIs initially evaluated, ten did not respond to phone contacts. The remaining 44 HRIs, of whom 29 (65.9%) were female, with a mean age of 56.1 years (SD = 10.2), agreed to participate in a FU psychological assessment. After 3 years, the participant exhibited an increase in stress levels (PSS—T0 mean 14.8; T1 mean 16.9), a decrease in problem-solving abilities (GSES—from 32.02 to 28.09, p < 0.01), a deterioration in adaptive capacity to the situation (COPE total score from 64.0 to 61.39, p = 0.05), and a reduction in perceived social support (MSPSS—T0: 4.59; T1: 4.27, p = 0.02). A significant decrease was also observed in the use of denial (from 2.84 to 2.32; p = 0.02). Based on the psychological characteristics of the 44 HRIs, stratified according to PSS reassessed at FU, 3 distinct clusters were identified: (a) Normal Stress (32% of the sample): HRIs with a PSS score < 14; (b) Stable Clinical Stress (46% of the sample): HRIs with PSS at FU > 14 and PSS at baseline > 14; (c) New Clinical Stress (22% of the sample): HRIs with PSS at FU > 14 and PSS at baseline < 14. After 3 years of surveillance for PC, 67% of the total study sample (Stable Clinical Stress group and New Clinical Stress group) exhibited high perceived stress. Over the course of the 3 years, 7 HRIs (15.9%) lost a family member due to PC. Conclusions: The data suggest the need to include psychological care pathways within the surveillance programmes. These insights can enhance existing literature and aid in creating comprehensive surveillance programmes for PC, addressing all care aspects, including mental health.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.354
Teacher spread0.338 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
Has abstractyes

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