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Patient experience of early high grade symptomatic adverse events on early phase clinical trials using the PRO-CTCAE.

2021· article· en· W3171043130 on OpenAlexaff
Geoffrey Alan Watson, Zachary Veitch, Daniel Shepshelovich, Zhihui Liu, Anna Spreafico, Albiruni Ryan Abdul Razak, Philippe L. Bédard, Lillian L. Siu, Lori M. Minasian, Aaron R. Hansen

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsUniversity of TorontoUniversity Health NetworkBaker Hughes (Canada)Princess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineTolerabilityAdverse effectClinical trialInternal medicine

Abstract

fetched live from OpenAlex

12051 Background: There are limited data describing the patients’ experience of symptomatic adverse events (syAEs) on early phase clinical trials. This information is critical to understand the tolerability of experimental agents. The patient reported outcome version of the CTCAE (PRO-CTCAE) evaluates syAE components such as severity and interference in daily life. The aim of this study was to correlate clinician reported early, high grade (grade 3-4) AEs with patients’ reported experience of these toxicities. Methods: Advanced solid tumor patients (pts) enrolled on early phase clinical trials at Princess Margaret Cancer Centre were surveyed electronically using the full library of 78 items for PRO-CTCAE v1.0, which was administered at baseline (prior to therapy), mid-cycle 1, and mid-cycle 2. AEs on study were recorded by physicians using the CTCAE v4.0. Worst responses for severity items are ‘severe’ and ‘very severe’ and for interference items are ‘quite a bit’ and ‘very much’. A logistic regression model was used to assess the association between CTCAE grade and PRO-CTCAE severity and interference. Results: A total of 292 pts were approached in phase 1 clinics from May 2017 to January 2019, and 219 pts were included in the analysis: median age 60 years (range 18-82), 111 (51%) were male; all were ECOG ≤1. A total of 140 pts (64%) received combination therapy (immunotherapy and targeted therapy), and 73 pts (33%) had received ≥3 previous lines of treatment. In terms of patient reported syAEs, a total of 114 pts (52%) reported a symptomatic AE as either severe or very severe at any timepoint and 79 pts (36%) reported a syAE with an interference that was either ‘quite a bit’ or ‘very much’. With regards to clinician reported AEs, a total of 82 pts (37%) had a clinician reported grade 3 or 4 syAE, and of these 34 pts (41%) reported these as either severe or very severe; and 26 pts (32%) found these AEs interfered with daily life either ‘quite a bit’ or ‘very much’. Additionally 137 pts (66%) had a clinician reported grade 1 or 2 syAE, and of these 39 pts (28%) reported these as either severe or very severe; and 19 (14%) found these AEs interfered with daily life either ‘quite a bit’ or ‘very much’. Higher grade clinician reported syAEs (CTCAE grade 3-4 vs 1-2) was associated with higher patient reported severity levels (odds ratio, OR = 1.78, 95% CI 1-3.16, p = 0.049), and was associated with higher patient reported interference levels (OR = 2.88, 95% CI 1.47-5.64, p = 0.002). Conclusions: A majority of patients had a very negative experience of syAEs on a phase I trial. Higher grades of clinician reported AEs correlated with greater severity and interference with daily living. Future phase I studies could incorporate the PRO-CTCAE and other PRO tools which could inform the tolerability of experimental regimens and enhance the description of symptomatic AEs.

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)0.009
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.402
GPT teacher head0.591
Teacher spread0.189 · 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 designQualitative
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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Citations0
Published2021
Admission routes1
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