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Record W4404919230 · doi:10.61186/wjps.13.3.57

Healing Effect of Hypericum perforatum in Burn Injuries

2024· article· en· W4404919230 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWORLD JOURNAL OF PLASTIC SURGERY · 2024
Typearticle
Languageen
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHypericum perforatumMedicineTraditional medicineSurgery

Abstract

fetched live from OpenAlex

Background: Burn injury is still the leading cause of mortality and morbidity in burn patients.We comapred healing effect of Hypericum perforatum, silver sulfadiazine and alpha ointments on burn injuries in rat model.Methods: Sixty female Sprague-Dawley rats in an animal experimental study were randomly divided to 5 equal groups as H. perforatum, silver sulfadiazine and (SSD), alpha, gel base and the burn injury left untreated.Wounds were assessed macroscopically and histologic after burn injury and on days 7 th , 14 th and 21 st after treatments.Results: Burn wounds decreased in size on day 7 th in H. perforatum group (P<0.01).Regarding scoring the inflammation, re-epithelialization, angiogenesis, formation of granulation tissue and number of macrophage, the best scores were visible in H. perforatum group, and the worst in the gel base and the burn injury left untreated (P<0.01).Conclusions: H. perforatum was shown to significantly induce reepithelialization, angiogenesis and granulation tissue and decrease the inflammation resulting into a healing process in burn wounds.As H. perforatum is inexpensive and an easily available herbal medicine, it can be considered as a therapeutic of choice to ameliorate burn injuries.

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.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.356
Teacher spread0.323 · 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