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Record W4409980606 · doi:10.51253/pafmj.v75i2.9513

Effects of Low Laser Therapy in Fixed Orthodontic Treatment: Systematic Review

2025· article· en· W4409980606 on OpenAlexaff
Kishore Kumar, Irfan Qamruddin, Tamana Khatri, Mohammad Khursheed Alam

Bibliographic record

VenuePakistan Armed Forces Medical Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicLaser Applications in Dentistry and Medicine
Canadian institutionsConestoga College
Fundersnot available
KeywordsMedicineLow level laser therapyLaser therapySystematic reviewDentistryLaserMEDLINEOptics

Abstract

fetched live from OpenAlex

Objective: to determine how low-level laser therapy affects patients' early pain thresholds and the level of tooth movement brought on by orthodontic treatments. Study Design: Systematic review. Methodology: Various electronic databases (Google Scholar 145, PubMed = 534, NCBI = 18, and Cochrane = 42) were searched for 743 papers for this purpose. Ten publications were chosen for the systematic review of our topic of interest. Results: Seven of the ten studies examined for evidence had strong evidence, while just three included moderate evidence. Four of the seven studies with strong evidence had statistically significant conclusions. Three studies with intermediate evidence have shown significant results. LLLT may thereby promote orthodontic tooth movement, according to the evidence. Conclusion: According to a thorough evaluation of the scientific literature, there is no evidence that LLLT by diode laser increases immediate orthodontic discomfort, although it does encourage orthodontic tooth movement. Limited laser treatment is also helpful for treating discomfort and relieving pain.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.341
Teacher spread0.333 · 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 designSystematic review
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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