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Record W4405321781 · doi:10.30683/1927-7229.2024.13.09

The Relief of Nociceptive Pain Induced by Panitumumab Could be Sustainable during Chemotherapy

2024· article· en· W4405321781 on OpenAlexvenueno aff
Shu Yuasa, Ryuichi Furuta, Megumi Kabeya, Yuko Shirokawa, Satoshi Hibi, Seiji Nagao, Shozo Togawa, Satoshi Kayukawa, Kenji Ina

Bibliographic record

VenueJournal of Analytical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePanitumumabColorectal cancerAnalgesicChemotherapyNociceptionEpidermal growth factor receptorCancerCancer painInternal medicineOncologyCetuximabPharmacologyReceptor

Abstract

fetched live from OpenAlex

Anti-epidermal growth factor receptor (EGFR) antibodies and tyrosine kinase inhibitors, which are molecular-targeted drugs used in cancer treatment, are suspected to have analgesic effects on cancer-related pain. The relieving effect of EGFR inhibitors on neuropathic pain has been described to persist for approximately 20 days in patients with colorectal cancer. Since the administration of panitumumab, ananti-EGFR antibody, is repeated every 14 days, its relieving effect on cancer-related pain should be maintained until the next administration. To test this hypothesis, we investigated the chronological changes in symptoms before and two and 14 days after administration. A retrospective study using electrical patient charts demonstrated that the analgesic effects of panitumumab sustained in 8 out of ten patients with colorectal cancer (80%) until the start of next cycle of chemotherapy. The relief of nociceptive pain can be maintained in most of the patients during chemotherapy by repeated use of this agent, once pain relief has been achieved.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.021
GPT teacher head0.375
Teacher spread0.354 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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