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Record W4405803812 · doi:10.1371/journal.pone.0314010

Photobiomodulation as part of multimodal analgesia to improve pain relief and wound healing after elective caesarean section: A protocol for randomized controlled trial

2024· article· en· W4405803812 on OpenAlexafffundabout
Maram Khaled, Álvaro Díaz, Mansi Patel, Sarah Clements, Parsa Farsinejad, Kabir Khatana, A Gnanapragasam, S. Selva‐Nayagam, Zeineb Muhsen, Jocelyn Chan, Sanjum Hunjan, Ayman Kazi, Sapna Sharma, Lea Luketic, Joycelyne Ewusie, Daniel Cordovani, Harsha Shanthanna

Bibliographic record

VenuePLoS ONE · 2024
Typearticle
Languageen
FieldMedicine
TopicLaser Applications in Dentistry and Medicine
Canadian institutionsSt. Joseph’s Healthcare HamiltonImpactMcMaster UniversityPopulation Health Research Institute
FundersGovernment of CanadaMcMaster University
KeywordsMedicinePlaceboRandomized controlled trialAnesthesiaCaesarean sectionClinical trialSurgeryPregnancyAlternative medicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Caesarean section (CS) is the most common inpatient surgical procedure performed in Canada. CS is known to cause moderate-to-severe pain, which is suggested to be associated with postpartum depression and persistent pain. Existing limitations in multimodal analgesia and conscious attempts to avoid opioids highlight the need for non-pharmacological strategies. Photobiomodulation therapy (PBMT) uses light-emitting diode (LED) and laser and has suggested potential for improving pain control and wound healing. This study aims to evaluate the effectiveness of PBMT as part of existing multimodal analgesia after elective CSs. METHODS: This placebo-controlled, two-arm, multi-centre, parallel-design randomized controlled trial includes women aged ≥16 years with planned CS under spinal anesthesia (Clinical Trials Registration: NCT05738239). Patients will be randomized post-CS to intervention (n = 90) or placebo (n = 90). Study interventions will be carried out using equipment supported by Meditech International Incorporated (approved by Health Canada for pain relief). Patients will receive a maximum of 5 post-surgical treatment sessions of active PBMT (intervention: LED therapy: DUO 240 [red at 660nm and near-infrared at 840nm] applied parallel to the abdominal incision scar, followed by BIOFLEX LDR-100 laser probe (660nm red light) and the LD1-200 laser probe (825nm near-infrared light), applied at the incision wound edges) or non-effective doses of LED array and laser therapy (placebo), 4-6 hrs post-CS, and at 8am and 7pm of postoperative days 1 and 2. Patients, research assistants involved in patient recruitment and follow-up, health care providers, and data analysts will be blinded. All patients will have access to routine multimodal analgesia. Patients will be followed up in hospital on the evening of surgery and on postoperative days 1 and 2 (morning, noon, and evening); at 6 weeks; and at 3 months by telephone. Primary outcome is pain intensity with movement (elicited by asking the patient to move from supine to sitting position) using 0-10 Numerical Rating Scale (0 = no pain, 10 = worst possible pain). SIGNIFICANCE: The results of this study may result in improved pain control, maternal satisfaction and wound healing; decrease the use of perioperative opioids; potentially decrease the incidence of postpartum depression and persistent pain; and overall lead to better postoperative outcomes thereby decreasing healthcare costs.

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)0.028
metaresearch head score (Gemma)0.027
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.070
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.027
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0120.006
Bibliometrics0.0020.003
Science and technology studies0.0030.003
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0700.009

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 head0.320
Teacher spread0.299 · 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
GenreProtocol

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
Published2024
Admission routes3
Has abstractyes

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