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Record W4406103950 · doi:10.15690/vsp.v23i6.2822

Outcomes of Antibiotic Therapy During Perinatal Period for the Early Age Child’s Intestinal Microbiota

2025· article· en· W4406103950 on OpenAlex
I. А. Belyaeva, Leyla S. Namazova-Baranova, Еlena P. Bombardirova, Tatiana V. Turti, Regina A. Shukenbayeva

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueВопросы современной педиатрии · 2025
Typearticle
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsChildren’s Health Research Institute
Fundersnot available
KeywordsAntibioticsResistomeAntibiotic therapyGut floraAntibiotic resistancePerinatal periodBiologyTransmission (telecommunications)Period (music)MedicinePediatricsImmunologyPregnancyMicrobiologyGenetics

Abstract

fetched live from OpenAlex

This literature review provides data on antibiotic therapy (AT) consequences that child may be exposed during the perinatal period considering the development of the most crucial body system — intestinal microbiota. The main characteristics of the intestinal microbiota disturbance in infants due to various AT exposure time and volume are presented. Moreover, antibiotics' effects on the intestinal microbiota development in full-term and premature babies are covered. Modern data on the development of pathobionts and symbionts resistome within intestinal microbiota in «mother-child» complex and variants of vertical (from mother to child) and horizontal (between microorganisms) transmission of antibiotic resistance genes are presented. The major strategies for minimizing the negative consequences of perinatal AT are described

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.308
Teacher spread0.288 · 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