MétaCan
Menu
Back to cohort
Record W6911359398 · doi:10.5281/zenodo.12525593

A Study of Comparisons of Normal Suturing and Adhesion of Skin Closure Tissues in Surgery of Inguinal Hernia

2022· article· en· W6911359398 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldMedicine
TopicSurgical Sutures and Adhesives
Canadian institutionsnot available
Fundersnot available
KeywordsInguinal herniaFibrous jointAdhesionWound closureGLUEHerniaClosure (psychology)Cyanoacrylate

Abstract

fetched live from OpenAlex

Background: Suture material has evolved into advanced wound closure procedures such as skin staplers, skin glue, and sticky tapes. Based on the success of enhanced suturing procedures, patients may experience improved cosmesis, less postoperative discomfort, less wound infection, and a shorter stay in the hospital. The researchers wanted to see how adhesive glue compared to suture material for skin closure in hernia procedures. Closing wounds in an aesthetically acceptable manner has always been difficult. Surgeons have attempted to create “invisible scars” since the dawn of time. This, on the other hand, has always eluded me. ‘Scar’ is a surgeon’s signature. Technically, the skin closure procedure should be simple, acceptable, quick, and cost-effective. Sutures and staples are still the most commonly used procedures. The usage of GLUE, on the other hand, is becoming more common in clinical practise. With regard to time management, postoperative pain, ulcer problems, cosmesis, and cost-effectiveness, the authors compared all three procedures. Aim: The study aims to comparison of conventional suturing and tissue adhesive (2-octyl cyanoacrylate) for skin closure in inguinal hernia surgeries. Material and Method: There were 70 people in this study who underwent inguinal hernia surgery. Skin closure was performed on 35 patients with traditional suturing (3-0 ETHILON) and tissue glue on the remaining 35 patients (2-octyl cyanoacrylate). Postoperative discomfort, duration of skin closure, and scarring tests were all detected, and the findings were compared. In the General Surgery Department, a 2-year randomized controlled trial comparing tissue glue and wound-closing sutures following selection procedures was performed on 70 healthy patients. Results: The average skin closure time in the adhesive group was 1.521.444 minutes, while the average skin closure time in the suture group was 3.661.33 minutes. With a p value of 0.001, this difference is significant. The mean visual analogue value of the suture group was 4.5 ± 0.58, while the average skin group value was 2.38 ± 0.72. With a p value of <0.001, this value was very significant. The tissue glue group had less postoperative pain than other groups. At regular intervals, the postoperative scar was tested using a Vancouver scale. The average score for the suture group was 7.4 ± 0.4, while the average skin glue group was 1.9 ± 0.65. At p value of <0.001, these changes in effect were significant. Conclusion: In clean elective procedures, adhesive glue outperforms traditional suturing. It is a safe and successful form of skin closure that results in decreased postoperative pain and improved scar cosmesis. Staples are easier to use and take less time to apply than glue and stitches. In terms of post-operative discomfort, wound asepsis, cosmesis, and cost-effectiveness, skin glue delivers the best results.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.277
Teacher spread0.230 · 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.

Study designObservational
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicSurgical Sutures and AdhesivesFrench-language works237,207