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Record W2808439868 · doi:10.5539/gjhs.v10n7p166

A Systemic Review on Single-Port and Multiport Laparoscopic Hernioplasty

2018· review· en· W2808439868 on OpenAlexvenueno aff
Bipin Thomas Prasad, Jolly Jacob

Bibliographic record

VenueGlobal Journal of Health Science · 2018
Typereview
Languageen
FieldMedicine
TopicMinimally Invasive Surgical Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUmbilicus (mollusc)Blood lossPort (circuit theory)SurgeryHerniaLaparoscopyGeneral surgeryAbdominal surgeryLaparoscopic surgeryHernia repair

Abstract

fetched live from OpenAlex

Herniorrhaphy or Hernioplasty is the surgical treatment for hernia. This surgical procedure is mainly done using local or general anesthesia with laparoscope or conventional incision. Laparoscopic hernioplasty is the best suited laparoscopic technique for almost all the abdominal hernias. This technique has gained its approval in recent treatment and is being widely used. Despite the fact that it is for the most part of safe operation, postoperative complications are found to be less. The recovery time after the surgery is found to be 1 to 2 weeks. Single port laparoscopy is the marginally invasive surgical process where the surgery takes place by a single entry point mainly the umbilicus. This single port technique leaves only a single scar. Multiport laparoscopic technique is the traditional technique where it uses many entry points for operation. Thus the single port laparoscopic technique consists of many advantages like faster recovery time, less blood loss, less post-operative pain etc. This study systematically reviewed the existing literatures for comparing the single site over the multiport hernia repair. The outcomes like hospital stay, operative time, complications and blood loss are reviewed. The remedial advantages in the general management of hernia are reviewed in detail. This review concludes that the single port laparoscopic hernioplasty is the most advantaged technique than the multiport.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.116
GPT teacher head0.438
Teacher spread0.322 · 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 designOther design
Domainnot available
GenreReview

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

Citations0
Published2018
Admission routes1
Has abstractyes

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