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Record W3014151007 · doi:10.1055/s-0040-1703009

Is the Laparotomy Here to Stay? A Review of the Disadvantages of Laparoscopy

2020· review· en· W3014151007 on OpenAlexaff
Brian C. Gulack, Kaitlyn Wong, Eric A. Sparks, Joshua Ramjist, Haitao Zhu, Agostino Pierro

Bibliographic record

VenueEuropean Journal of Pediatric Surgery · 2020
Typereview
Languageen
FieldMedicine
TopicAbdominal Surgery and Complications
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineLaparoscopyLaparotomyHypercarbiaThoracoscopyAir embolismSurgeryInvasive surgeryGeneral surgeryHypothermiaComplicationAnesthesia

Abstract

fetched live from OpenAlex

Minimally invasive procedures have seen increasing utilization in the pediatric patient population since the 1990s. Most thoracic and abdominal operations in pediatric surgery can be performed in a minimally invasive manner including those performed in neonates and infants. Thoracoscopic or laparoscopic operations can reduce hospital length of stay, minimize postoperative pain, and lead to more aesthetic results. However, it is important to be aware of the inherent risks, limitations, and adverse effects associated with these thoracoscopic and laparoscopic techniques, particularly in special populations. In this article, we will review the risks and limitations of laparoscopy in pediatric patients such as cost, operative time, reduced effectiveness, air embolism, hypercarbia, hypothermia, and access-related injuries.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.640
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.002
Science and technology studies0.0000.000
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 head0.073
GPT teacher head0.350
Teacher spread0.277 · 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 designNot applicable
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

Citations9
Published2020
Admission routes1
Has abstractyes

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