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Relationship between catechol-o-methyltransferase gene polymorphism and pain syndrome in breast cancer patients

2020· article· en· W3114553608 on OpenAlexaboutno aff
Arina P. Spasova, И. В. Курбатова, O. Yu. Barysheva, G.P. Tikhova

Bibliographic record

VenueRegional Anesthesia and Acute Pain Management · 2020
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsnot available
Fundersnot available
KeywordsMediciners4680Breast cancerAnxietyChronic painNeuropathic painInternal medicineSingle-nucleotide polymorphismCancer painOncologyAnesthesiaPhysical therapyCancerGenotypePsychiatryGene

Abstract

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The goal of the study was to explore the influence of single-nucleotide polymorphisms of the COMT gene on the formation and features of pain syndrome, the level of anxiety, and the need for narcotic analgesics in patients with breast cancer. Materials and methods. The intensity of pain and opioid consumption in the postoperative period were evaluated in 58 patients who met the inclusion criteria of the study and were operated for breast cancer. The frequency of chronic pain syndrome after mastectomy was studied in the same group of patients after a year by using short pain questionnaires, McGill Pain Questionnaire and PainDetect. The anxiety level was assessed by using the HADS questionnaire. Genotyping was performed for single-nucleotide polymorphisms, rs4680, rs740603, rs2097603 = rs2070577, rs4633, of the COMT gene localized in the 22q11.21 region in the studied group of patients. The relationship between the carrier of different genotypes and the intensity of acute and chronic pain, the severity of the pain rating index for sensory and affective characteristics, the presence of a neuropathic component of pain, and the severity of anxiety were studied in the entire sample. The use of narcotic analgesics was evaluated in the postoperative period (IU/day and IU/course) and for the relief of chronic pain. Results. It is shown that the intensity of postoperative pain and the severity of anxiety do not depend on the presence of a mutant allele for the studied polymorphisms of the COMT gene, while the postoperative consumption of opioids in patients with the rs4680 missense mutation in the exon of this gene is significantly less. The dependence of the intensity of chronic pain syndrome and the severity of anxiety on the presence of a mutant allele for the polymorphic locus rs4680 localized in the exon of the COMT gene was established. No significant relationship was observed between the mutant alleles and the use of opioids for chronic pain relief after mastectomy. Conclusion. Genotyping for the COMT gene polymorphisms can be useful for choosing the optimal tactics of pain management in patients with breast cancer.

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)0.000
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.020
GPT teacher head0.241
Teacher spread0.220 · 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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Citations0
Published2020
Admission routes1
Has abstractyes

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