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Record W6947597397 · doi:10.3886/e183444

Data to Support a Widely Accepted Practice in Cancer Prevention

2022· dataset· en· W6947597397 on OpenAlexaboutno aff

Bibliographic record

VenueICPSR Data Holdings · 2022
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSingle-cell and spatial transcriptomics
Canadian institutionsnot available
Fundersnot available
KeywordsSalpingectomyGynecologic oncologyHysterectomyFallopian tubeOvarian cancerSerous carcinomaSerous fluidRetrospective cohort study

Abstract

fetched live from OpenAlex

Current research indicates that the majority of ovarian cancers are serous epithelial in histology, which commonly originates in the fallopian tube as serous tubal intra-epithelial carcinoma. Findings from previous studies demonstrates an observed upward trend in Opportunistic salpingectomy (OS) at the time of hysterectomies - most notably since the practice was supported by the Society of Gynecologic Oncology of Canada in 2011.5 In 2013, the Society of Gynecologic Oncology published a consensus statement on women who are at average risk for ovarian cancer should be counseled regarding the option of salpingectomy at the time of hysterectomy or other pelvic surgeries as an alternative to tubal ligation. Public health campaigns and research evaluating the acceptability, safety, and cost-effectiveness of OS has been reported, without finding an increased risk in adverse events or complications during the post-operative period. After Institutional Review Board review and exempt determination, we performed a retrospective chart review for all robotic sacrocolpopexies performed with and without salpingectomies using the robot da Vinci Xi system from January 1, 2014 to March 1, 2022. Variables of interest include operation duration, length of hospital stay, readmission within 31 days, estimated blood loss (EBL), number and size of incisions, and narcotic use during hospitalization. Additional procedures performed at the time of operation were collected as potential confounding variables. For this study, two cohorts were created: (1) Patients who underwent a bilateral salpingectomy at time of colpopexy (SC-S) and (2) Patients who underwent colpopexy only (SC). Comparisons were performed with chi-square analysis for discrete variables and group t-tests for continuous level data. Narcotics administered during the immediate post-operative period until discharge was collected for each patient and converted to MME via multiplying the administered dose by the CDC established evidence-based conversion factor. Analysis of covariance (ANCOVA) as well as logistic regression was used to control for confounding variables, including the additional procedures patients had during their operation. An omnibus p-value of 0.05 was used to determine statistical significance for all tests. Narcotic use post-operation was significantly different between groups. As this study spanned over seven years, from 2014-2022, the opioid epidemic and its effect on provider practices may play a part in these findings. When analyzed by date of operation as well as between procedures, a decrease in the MME prescribed was found over time. Incision length differences can be attributed to the various provider techniques associated with hysterectomy prior to sacrocolpopexy: supracervical versus vaginal. This study highlights the importance of patient education and counseling on cancer prevention when scheduling a gynecologic procedure to improve compliance with risk-reducing clinical strategies. Future research should include multi-center large prospective cohort studies with historical control subjects to assess the cost and other potential complications of OS at the time of sacrocolpopexy.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0040.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.122
GPT teacher head0.391
Teacher spread0.269 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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