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Record W412228449

Influence of a robotic camera holder on postoperative pain in women undergoing gynaecological laparoscopy.

2014· article· en· W412228449 on OpenAlexaboutno aff
Benjamin Tuschy, Sebastian Berlit, Stefanie Lis, Marc Sütterlin, Amadeus Hornemann

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldMedicine
TopicMinimally Invasive Surgical Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsLaparoscopyMedicineMcGill Pain QuestionnairePostoperative painSurgeryLaparoscopic surgeryVisual analogue scale
DOInot available

Abstract

fetched live from OpenAlex

AIM: To investigate the influence of a robotic camera holder on postoperative pain in women undergoing gynaecological laparoscopy. PATIENTS AND METHODS: Sixty-one women were prospectively enrolled in the study and underwent either conventional laparoscopy or laparoscopy using an active camera holder. Twenty-four and 48 h after surgery abdominal pain was assessed using the short form of the McGill Pain Questionnaire. Demographic data, and clinical and surgical parameters were evaluated. RESULTS: Twenty-seven women underwent laparoscopy with an active camera holder (study group) and 34 women underwent laparoscopy with human camera assistance (control group). Women in the study group were older (43.5±8.6 vs. 37.4±10.4 years; p=0.018) while the duration of surgery was shorter in women who underwent conventional laparoscopy (97±37 vs. 71±33 min; p=0.005). Total pain scores 24 h (28.3±24.2 vs. 44.0±35.0; p=0.049643) as well as 48 h (18.0±20.0 vs. 33.8±31.0; p=0.016) after surgery were significantly less in the study group. CONCLUSION: The usage of a robotic camera holder results in less postoperative pain in women undergoing gynaecological laparoscopy.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score0.631

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
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)0.0000.000

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 head0.022
GPT teacher head0.256
Teacher spread0.235 · 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 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

Citations4
Published2014
Admission routes1
Has abstractyes

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