MétaCan
Menu
Back to cohort
Record W4225250180 · doi:10.2196/37942

Mesh-Tissue Integration of Platelet-Rich Plasma–Decellularized Amnion Scaffold–Polypropylene Mesh Sandwiches Implanted in the Vesicovaginal Spaces of Hypoestrogenic Rabbit Models: Protocol for a Randomized Controlled Trial

2022· article· en· W4225250180 on OpenAlexvenueno aff
Alfa Putri Meutia, Budi Santoso, Andon Hestiantoro, Puspita Eka Wuyung, Joedo Prihartono, Arief Boediono, Suskhan Djusad, Amir Fauzi, Pribakti Budinurdjaja

Bibliographic record

VenueJMIR Research Protocols · 2022
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsnot available
Fundersnot available
KeywordsWound healingPlatelet-rich plasmaDecellularizationSurgeryAndrologyMedicineUrologyBiomedical engineeringInternal medicineTissue engineeringPlatelet

Abstract

fetched live from OpenAlex

BACKGROUND: Mesh-augmented surgery with polypropylene meshes (PPMs) is often used in urogynecology and pelvic reconstructive surgery. However, the various complications that arise from its integration process have resulted in a decrease in the number of mesh-augmented surgeries performed worldwide. An approach to improving mesh-tissue integration is coating PPMs with anti-inflammatory and wound-healing molecules, such as platelet-rich plasma (PRP), which is a component of biotechnologies that are capable of accelerating wound healing. Estrogen is also known to have a beneficial effect on wound remodeling; therefore, a hypoestrogenic status may have negative implications for wound healing. The mechanism of how PRP plays a role in wound remodeling, especially among individuals in a hypoestrogenic state, has not been fully described until now. OBJECTIVE: Our aim is to investigate the impact of applying PRP to PPMs in hypoestrogenic rabbit models. METHODS: Our study will be a randomized controlled trial involving hypoestrogenic rabbit models. Samples were categorized into either the PRP group or the PPM group (1:1 ratio), with a minimum sample size of 16 in each arm, via simple random sampling. All samples were put into a hypoestrogenic state via bilateral oophorectomy. After confirming a decrease in estradiol level, the meshes were implanted in the vesicovaginal space. The samples were euthanized on the 14th, 28th, or 90th day of the surgery. The mesh-tissue integration process will be analyzed based on inflammatory parameters (inflammatory infiltrate, interleukin-17, and interleukin-1B expression); angiogenesis (CD31 expression); and collagen deposition, which will be assessed by using Masson trichrome staining. RESULTS: Our study is in the protocol development stage. A preliminary study regarding its feasibility, including the feasibility of the preparation of hypoestrogenic rabbit models, mesh implantation in the rabbits' vesicovaginal spaces, the PRP and amnion scaffold, started in February 2022. The results of our study are expected to be available by the end of 2022. CONCLUSIONS: Our randomized controlled trial is designed to provide high-quality evidence on the effect of applying a PRP-decellularized amnion scaffold to PPMs in the vesicovaginal spaces of hypoestrogenic rabbit models. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/37942.

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)0.012
metaresearch head score (Gemma)0.009
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 score0.019
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.009
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0090.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0190.003

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 head0.132
GPT teacher head0.464
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 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

Citations4
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJMIR Research ProtocolsSame topicPelvic floor disorders treatmentsFrench-language works237,207