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Record W4280548742 · doi:10.1016/j.ejca.2022.03.040

Health-related quality of life in patients treated with pembrolizumab for microsatellite instability–high/mismatch repair–deficient advanced solid tumours: Results from the KEYNOTE-158 study

2022· article· en· W4280548742 on OpenAlexaff
Michele Maio, Mayur M. Amonkar, Josephine M. Norquist, Paolo A. Ascierto, L. V. Manzyuk, Daniel Motola‐Kuba, Nicolas Penel, Philippe A. Cassier, Giovanni M. Bariani, A. De Jesus Acosta, Toshihiko Doi, Federico Longo, Wilson H. Miller, Do‐Youn Oh, Maya Gottfried, Ruixue Wang, Kevin Norwood, Aurélien Marabelle

Bibliographic record

VenueEuropean Journal of Cancer · 2022
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicinePembrolizumabDiscontinuationQuality of life (healthcare)Microsatellite instabilityInternal medicineCohortPopulationColorectal cancerOncologyCancer

Abstract

fetched live from OpenAlex

BACKGROUND: In the KEYNOTE-158 study (NCT02628067), pembrolizumab showed a high objective response rate and durable clinical benefit for patients with previously treated, unresectable/metastatic microsatellite instability-high (MSI-H)/mismatch repair‒deficient (dMMR) non-colorectal solid tumours. We present health-related quality of life (HRQoL) results from the MSI-H/dMMR population (cohort K). PATIENTS AND METHODS: Eligible patients had previously treated MSI-H/dMMR advanced non-colorectal solid tumours, measurable disease per RECIST v1.1, and ECOG performance status ≤1. Patients received pembrolizumab 200 mg Q3W for 35 cycles (2 years). The EORTC Quality of Life Questionnaire (QLQ-C30) and EQ-5D-3L were administered at baseline, at regular intervals throughout treatment, and 30 days after treatment discontinuation. Prespecified analyses (exploratory endpoints) included the magnitude of change from baseline to post-baseline timepoints in all patients and by the best overall response for QLQ-C30 global health status (GHS)/QoL, QLQ-C30 functional/symptom scales/items, and EQ-5D-3L visual analogue scale (VAS) score. RESULTS: At data cutoff (October 5, 2020), 351 patients were enrolled, of whom 311 and 315 completed baseline QLQ-C30 and EQ-5D-3L questionnaires, respectively. QLQ-C30 GHS/QoL scores improved from baseline to week 9 (mean [95% CI] change, 3.07 [0.19-5.94]), then remained stable or improved by week 111, with greater improvements observed in patients with a best response of complete response (CR) or partial response (PR) (10.85 [6.36-15.35]). Patients with CR/PR showed improvements in physical (5.58 [1.91-9.25]), role (9.88 [3.80-15.97]), emotional (5.62 [1.56-9.68]), and social (8.33 [2.70-13.97]) functioning, and stable cognitive functioning (1.74 [-1.45 to 4.94]). CONCLUSIONS: Pembrolizumab generally improved or preserved HRQoL in patients with previously treated MSI-H/dMMR advanced non-colorectal solid tumours.

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)0.001
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.029
GPT teacher head0.306
Teacher spread0.277 · 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".

Quick stats

Citations9
Published2022
Admission routes1
Has abstractno

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