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Record W4387087319 · doi:10.1101/2023.09.25.23296038

Effectiveness of Hyperbaric Oxygen Therapy Compared to Surgical Free Tissue Flap for Osteoradionecrosis of the Jaw: A Meta-Analysis

2023· preprint· en· W4387087319 on OpenAlexaboutno aff
Megha K. Sheth, Casey Collet, De‐Chen Lin, Uttam K. Sinha

Bibliographic record

VenuemedRxiv · 2023
Typepreprint
Languageen
FieldMedicine
TopicOral health in cancer treatment
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoradionecrosisMedicineRadiation therapyMeta-analysisHyperbaric oxygenSurgeryComplicationHead and neck cancerInternal medicine

Abstract

fetched live from OpenAlex

ABSTRACT Background Osteoradionecrosis (ORN) of the jaw is an uncommon but potentially serious complication of radiation therapy for head and neck cancer, with many cases presenting months to years after completion of radiotherapy. ORN-related morbidity is high, making effective management of osteoradionecrosis essential. Current treatment options include hyperbaric oxygen therapy (HBOT), surgical management (free flap), and PENTOCLO, among others. Our goal is to analyze the reported efficacy of hyperbaric oxygen therapy versus microvascular free flap in ORN. Methods This review was conducted using the Preferred Reporting Items for Systematic Review & Meta-Analysis (PRISMA) guidelines. A systematic review search strategy was developed by a librarian (JED). The search was performed in the following databases on March 8, 2023: PubMed, EMBASE, and ClinicalTrials.gov . Two reviewers independently assessed the titles, abstracts, and full-text manuscripts based on predetermined inclusion and exclusion criteria. The risk of bias of the final included studies was assessed using the Newcastle-Ottawa Scale. final included studies were assessed using the Newcastle-Ottawa risk of bias assessment, and analyses were performed using risk ratios. Results The initial search yielded 1,614 articles with 407 undergoing full-text review. Ultimately, nine studies met the eligibility criteria and were included in the review. In total, 339 patients were included across the nine studies. Each of the nine studies reported on resolution of ORN with HBOT versus surgical free flap, with six studies showing significant differences in outcomes, with surgical free flap yielding significantly higher complete resolution of ORN compared to HBOT (RR 0.42, 95% CI 0.2-0.85; RR 0.07, 95% CI 0-0.99; RR 0.04, 95% CI 0-0.57; RR 0.12, 95% CI 0.04-0.34; RR 0.21, 95% CI 0.08-0.54; RR 0.43, 95% CI 0.24-0.78). Three studies showed no significant differences in ORN resolution (RR 0.33, 95% CI 0.03-4.19; RR 0.33, 95% CI 0.03-4.19; RR 0.34, 95% CI 0.11-1.09). The summary outcome of ORN resolution found a significant difference between surgical free flap and HBOT (RR 0.28, 95% CI 0.17-0.45). Conclusions Despite the traditional practice of recommending HBOT for ORN treatment, our meta-analysis suggests that HBOT provides little benefit, especially for later stages of disease, and that surgical intervention via surgical free flap yields superior outcomes. However, there may be some benefit of HBOT in conservative management of early and intermediate cases of ORN. Surgical reconstruction with microvascular free flap may be a superior alternative to HBOT in the management of these patients.

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)0.015
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.032
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0230.060
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0050.002
Open science0.0030.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.191
GPT teacher head0.412
Teacher spread0.221 · 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 designMeta-analysis
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

Citations1
Published2023
Admission routes1
Has abstractyes

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