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Record W3025392801 · doi:10.1080/13645706.2020.1763402

Distension media delivery systems in hysteroscopy: past, present and future

2020· review· en· W3025392801 on OpenAlexaff
Rahul Manchanda, Gaetano Valenti, Aayushi Rathore, José Carugno, Péter Török, Gaetano Riemma, Maria Chiara De Angelis, George A. Vilos, Luís Alonso Pacheco, Salvatore Giovanni Vitale

Bibliographic record

VenueMinimally Invasive Therapy & Allied Technologies · 2020
Typereview
Languageen
FieldMedicine
TopicGynecological conditions and treatments
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsUterine cavityHysteroscopyDistensionMedicineSurgeryUterus

Abstract

fetched live from OpenAlex

To examine the uterine cavity and/or to perform hysteroscopic surgery, one has to access the uterine cavity through the cervix, distend the cavity with a fluid (liquid or gas) to visualize it with a telescope and/or a camera system and use energy (mechanical or thermal) to affect and/or remove tissue. Distension of the uterine cavity then is an important component of hysteroscopy, and during the last century, numerous attempts have been made to achieve an undistorted and unobstructed panoramic view of the uterine cavity. In order to achieve this goal, the uterine cavity has been distended with fluids using a variety of techniques, including gravity-assisted systems, pressure cuffed systems, and electronic pumps. Excessive fluid intravasation during hysteroscopy can lead to significant complications, and hence, automated fluid delivery systems have been developed recently to provide a safe and more efficient method of fluid delivery. This review aims to describe the evolution of distension media delivery systems chronologically from the 1900s to the present day.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.054
GPT teacher head0.297
Teacher spread0.243 · 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 source (direct Gemma or distilled Codex), 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

Citations15
Published2020
Admission routes1
Has abstractyes

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