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Record W2971527563 · doi:10.1001/jamasurg.2019.3348

Population-Level Symptom Assessment Following Pancreaticoduodenectomy for Adenocarcinoma

2019· article· en· W2971527563 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJAMA Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsUniversity of ManitobaInstitute for Clinical Evaluative SciencesSunnybrook Health Science CentreHealth Sciences CentreUniversity of Toronto
FundersOntario Ministry of Health and Long-Term Care
KeywordsMedicinePancreaticoduodenectomyGeneral surgeryAdenocarcinomaPopulationInternal medicineCancerEnvironmental healthPancreas

Abstract

fetched live from OpenAlex

Importance: Postoperative morbidity associated with pancreaticoduodenectomy (PD) for pancreatic adenocarcinoma (PA) remains as high as 70%. However, to our knowledge, few studies have examined quality of life in this patient population. Objective: To identify symptom burden and trajectories and factors associated with high symptom burden following PD for PA. Design, Setting, and Participants: This population-based cohort study of patients undergoing PD for PA diagnosed between 2009 and 2015 linked population-level administrative health care data to routinely prospectively collected Edmonton Symptom Assessment System (ESAS) scores from 2009 to 2015, with a data analysis undertaken in 2018. Exposures: Baseline characteristics, including age, sex, income quintile, rurality, immigration status, and comorbidity burden, as well as treatment characteristics, including year of surgery and receipt of chemotherapy. Main Outcome and Measures: The outcome of interest was moderate to severe symptoms (defined as ESAS ≥4) for anxiety, depression, drowsiness, lack of appetite, nausea, pain, shortness of breath, tiredness, and impaired well-being. The monthly prevalence of moderate to severe symptoms was presented graphically for each symptom. Multivariable regression models identified factors associated with the reporting of moderate to severe symptoms. Results: We analyzed 6058 individual symptom assessments among 615 patients with PA who underwent resection (285 women [46.3%]) with ESAS data. Tiredness (443 [72%]), impaired well-being (418 [68%]), and lack of appetite (400 [65%]) were most commonly reported as moderate to severe. The proportion of patients with moderate to severe symptoms was highest immediately after surgery (range, 14%-66% per symptom) and decreased over time, stabilizing around 3 months (range, 8%-42% per symptom). Female sex, higher comorbidity, and lower income were associated with a higher risk of reporting moderate to severe symptoms. Receipt of adjuvant chemotherapy was not associated with the risk of moderate to severe symptoms. Conclusions and Relevance: There is a high prevalence of symptoms following PD for PA, with improvement over the first 3 months following surgery. In what to our knowledge is the largest cohort reporting on symptom burden for this population, we have identified factors associated with symptom severity. These findings will aid in managing patients' perioperative expectations and designing strategies to improve targeted symptom management.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.006
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.057
GPT teacher head0.360
Teacher spread0.303 · 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