MétaCan
Menu
Back to cohort
Record W1743385319

Особенности клинического течения первичной дисменореи у девочек-подростков на фоне недифференцированной дисплазии соединительной ткани

2012· article· ru· W1743385319 on OpenAlexaboutno aff
В. С. Орлова, О. В. Моцная, И. В. Калашникова

Bibliographic record

VenueСовременные проблемы науки и образования · 2012
Typearticle
Languageru
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingMedicineConnective tissueDysplasiaMenarcheGynecologyInternal medicinePsychologyPathologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the research is to find out the features of a clinical current of primary dysmenorrhea of teenage girls with undifferentiated connective tissue dysplasia. 210 girls at the age of 12-17 with primary dysmenorrhea were surveyed. Two groups were determined according to existence (the I group, 120 patients) or absence (the II group, 90 patients) of undifferentiated connective tissue dysplasia. It was established that about 90,9±2,6% of patients of the I group had the debut of a dysmenorrhea in the period of formation the menstrual function – within the first 2 years after a menarche. It is shown that patients of the I group have ball indexes reflecting intensity of painful feelings, expressiveness of touch and affective reactions of a McGill Pain Questionnaire is statistically much more than in the other group. In an internal picture of perception of painful feelings a prevalence of an emotional component is noted. It is noticed that for patients of the I group high level of reactive (52,5±4,6%) and personal (76,7±3,9%) uneasiness is typical. Vegetative dysfunction is revealed at all patients of the I group and in 89,2±2,8% of cases it had the sympathetic orientation. The results of this research prove that the systemic pathology connected with a connective tissue dysplasia, makes the clinical current of primary dysmenorrhea at teenage age heavier that gives the opportunity to approach the medical diagnostic algorithm differentially.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.005

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 head0.049
GPT teacher head0.370
Teacher spread0.322 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueСовременные проблемы науки и образованияSame topicHuman Health and DiseaseFrench-language works237,207