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Record W2399063085

Adhesion-prevention effects of fibrin sealants after laparoscopic myomectomy as determined by second-look laparoscopy: a prospective, randomized, controlled study.

2005· article· en· W2399063085 on OpenAlexaboutno aff
Hiroyuki Takeuchi, Mari Kitade, Iwaho Kikuchi, Hiroto Shimanuki, Jun Kumakiri, Katsuyuki Kinoshita

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicUterine Myomas and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsFibrinMedicineLaparoscopySealantSurgeryAdhesionUterusProspective cohort studyFibrin Tissue AdhesiveMyomaFibrin glueInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the adhesion prevention effects of 2 types of fibrin sealant after laparoscopic myomectomy (LM). STUDY DESIGN: A prospective, randomized study (Canadian Task Force I) was conducted at a University-affiliated hospital. A total of 91 patients showing a minimal myoma > 5 cm, excluding pedunculated myomas, underwent LM alone: 32 patients in the control group, 29 in the fibrin gel group and 30 patients in the fibrin sheet group. After LM, postoperative adhesions were evaluated by second-look laparoscopy. The frequency of postoperative adhesions was the main outcome. RESULTS: The frequency of postoperative adhesions of the uterus was significantly lower (p < 0.05) in the fibrin gel group, with 20/32 (62.5%) in the control group, 10/29 (34.5%) in the fibrin gel group and 20/30 (67.7%) in the fibrin sheet group. Although no significant differences were found in the incidence of de novo adnexal adhesions, the lowest rate was found in the fibrin gel group, with 4/32 patients (12.5%) in the control group, 2/29 patients (6.8%) in the fibrin gel group and 5/30 patients (16.7%) in the fibrin sheet group. No bilateral adnexal adhesions were observed in the 3 groups. CONCLUSION: After LM for myomas as large as > or = 5 cm, postoperative adhesions were observed in > or = 50% of patients. The use of fibrin gel after LM is recommended.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.006
GPT teacher head0.249
Teacher spread0.244 · 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 designRandomized trial
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

Citations57
Published2005
Admission routes1
Has abstractyes

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