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Record W4408534338 · doi:10.52783/jns.v14.2088

A Comparative Study of N-Butyl Cyanoacrylate with Suture Material for Skin Closure in Open Inguinal Hernia Repair in a Tertiary Care Centre

2025· article· en· W4408534338 on OpenAlexaboutno aff
E. M. J. Karthikeyan, Praveen Kumar S, M. V. George Josna J. V., S. Anand, Jayanth Sridhar

Bibliographic record

VenueJournal of Neonatal Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicHernia repair and management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCyanoacrylateInguinal herniaSurgeryTertiary careFibrous jointClosure (psychology)General surgeryHernia

Abstract

fetched live from OpenAlex

Background: Inguinal hernia repair is one of the most frequently performed surgical procedures worldwide. The choice of skin closure technique plays a crucial role in postoperative recovery, cosmetic outcomes, infection rates, and overall patient satisfaction. Traditionally, sutures have been the preferred method for skin closure, offering strength and flexibility. However, tissue adhesives such as N-Butyl Cyanoacrylate have emerged as a promising alternative due to their faster application time, reduced postoperative pain, and superior cosmesis. The effectiveness and safety of tissue adhesives compared to conventional sutures in inguinal hernia repair remain a subject of clinical interest. This study aims to compare the outcomes of skin closure using N-Butyl Cyanoacrylate versus sutures in open inguinal hernia repair, focusing on wound healing, postoperative pain, cosmesis, and cost-effectiveness. Objectives: This study aims to evaluate and compare the following parameters between N-Butyl Cyanoacrylate (Group A) and sutures (Group B) for skin closure in open inguinal hernia repair: Time required for wound closure. Postoperative pain intensity Wound infection rates and healing Cosmetic outcomes using Vancouver Scar Scale Cost-effectiveness of each method Methods: This was a randomized controlled study conducted at Vinayaka Missions Kirupananda Variyar Medical college and Hospital,Salem,Tamilnadu, India, involving 60 patients diagnosed with inguinal hernia. Patients were randomly assigned to two groups: Group A (n=30), where skin closure was done using N-Butyl Cyanoacrylate, and Group B (n=30), where conventional sutures were used. Data collection included time taken for wound closure, postoperative pain assessment (Visual Analog Scale - VAS), wound infection rates (ASEPSIS score), and cosmetic outcomes (Vancouver Scar Scale). The economic feasibility of both methods was also compared. Statistical analysis was conducted using appropriate parametric and non-parametric tests, with a p-value <0.05 considered statistically significant. Results: The mean time for wound closure was significantly shorter in the glue group (4.73 ± 1.57 minutes) compared to the suture group (7.10 ± 1.97 minutes, p<0.001). Patients in the N-Butyl Cyanoacrylate group reported significantly lower postoperative pain scores at 6, 12, and 24 hours compared to the suture group (p<0.001). The mean ASEPSIS score for wound infection was lower in the glue group (1.97 ± 0.93) compared to the suture group (3.16 ± 0.62, p<0.001), indicating a lower infection rate in the glue group. Cosmetic assessment using the Vancouver Scar Scale showed better scar outcomes in the glue group (3.23 ± 1.30) compared to the suture group (7.77 ± 0.81, p<0.001). Cost analysis revealed that N-Butyl Cyanoacrylate was more economical due to its faster application time and reduced need for postoperative care. Conclusion: The findings indicate that N-Butyl Cyanoacrylate is a superior alternative to sutures for skin closure in open inguinal hernia repair, providing shorter wound closure times, reduced postoperative pain, lower infection rates, better cosmetic outcomes, and improved cost-effectiveness. Given these advantages, tissue adhesives should be considered as a preferred option for routine inguinal hernia repairs. Future large-scale studies and long-term follow-ups are recommended to further validate these findings.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.530

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.303
Teacher spread0.288 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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