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Comparative Study of Complications and Incision Esthetic Satisfaction Between Single-Port Laparoscopy and Traditional Laparoscopy in Benign Gynecological Surgery

2024· article· en· W6902376696 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2024
Typearticle
Languageen
FieldMedicine
TopicMinimally Invasive Surgical Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsGynecological surgeryBlood lossLaparoscopyHysterectomyLaparoscopic surgeryPatient satisfactionLaparoscopic hysterectomy

Abstract

fetched live from OpenAlex

Single-port laparoscopic surgery (SPLS) is an effective, minimally invasive, feasible, and promising surgical technique for the treatment of various benign and malignant gynecological diseases. This study aimed to evaluate the differences in surgical conditions, complications, and esthetic incisions between SPLS and traditional laparoscopic surgery (TLS) in benign gynecological surgeries. Fifty-one eligible patients were included, and their general information (age, surgical approach), surgical conditions (surgical time, blood loss, postoperative first flatus), postoperative pain, and incision healing were collected. There was a significant difference in the results of hysterectomy between the two groups. The surgical time in the SPLS group was significantly shorter than that in the TLS group (<i>p</i> = 0.026). Furthermore, the SPLS group had less blood loss (<i>p</i> &lt; 0.05) and earlier postoperative first flatus (<i>p</i> &lt; 0.05) than the control group. There was no significant difference in postoperative conditions between the two groups. During the follow-up, it was found that the Vancouver Scar Scale score was 8.37 ± 2.30 in the control group and 6.81 ± 2.14 in the study group. The cosmetic effect and satisfaction were better in the SPLS group (<i>p</i> = 0.018). Subgroup analysis showed that in other benign gynecological diseases without uterine lesions, SPLS significantly improved surgical time, intraoperative blood loss, and postoperative first flatus (<i>p</i> &lt; 0.05). SPLS demonstrated good clinical efficacy in benign gynecological surgery, with shorter surgical time, less blood loss, earlier postoperative first flatus, fewer complications, and better cosmetic effects of scars.

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)0.000
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 score0.070
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.234
GPT teacher head0.366
Teacher spread0.133 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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