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Record W4412048217 · doi:10.6026/973206300211719

Clinical and cost-effectiveness of synbiotics versus antibiotics and analgesics in post-tooth extraction socket healing: A randomized controlled trial

2025· article· en· W4412048217 on OpenAlexaff
Heena Shaikh, Lata Ajay Tapnikar, Vidyalakshmi Shankararaman, Shrikant Patel, D. K. Shah, Vyoma K. Patel

Bibliographic record

VenueBioinformation · 2025
Typearticle
Languageen
FieldMedicine
TopicLaser Applications in Dentistry and Medicine
Canadian institutionsTrinity Western UniversityHumber PolytechnicWestern University
Fundersnot available
KeywordsSynbioticsMedicineRandomized controlled trialDry socketDentistryWound healingClinical trialSurgeryInternal medicineMolarProbiotic

Abstract

fetched live from OpenAlex

There has been a noticeable increase in the use of alternative strategies such as herbal medicines and laser therapies to tackle a range of health issues, including oral diseases. Therefore, it is of interest to examine how synbiotics affect tooth extraction socket healing and problems. Hence, a total of 210 patients, were split into three groups of 70 individuals each. The primary outcome measures were assessed on the 3rd, 5th, and 7th days after the extraction. Group 3 patients had the highest incidence of bleeding, while group 1 had the lowest. Group 3 experienced the highest level of discomfort and swelling, while group 1 reported the lowest. Thus, post-extraction wound healing using synbiotics' benefits.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.030
GPT teacher head0.397
Teacher spread0.367 · 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 designRandomized trial
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
Published2025
Admission routes1
Has abstractyes

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