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Record W2955618362 · doi:10.1016/j.ajog.2019.07.009

Impact of surgical approach on oncologic outcomes in women undergoing radical hysterectomy for cervical cancer

2019· article· en· W2955618362 on OpenAlexafffund
Maria C. Cusimano, Nancy N. Baxter, Lilian T. Gien, Rahim Moineddin, Ning Liu, Fahima Dossa, Karla Willows, Sarah E. Ferguson

Bibliographic record

VenueAmerican Journal of Obstetrics and Gynecology · 2019
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsPrincess Margaret Cancer CentreHealth Sciences CentreSunnybrook Health Science CentreInstitute for Clinical Evaluative SciencesSt. Michael's HospitalPublic Health OntarioUniversity of Toronto
FundersBC Cancer AgencyOntario Ministry of Health and Long-Term CareInstitute for Clinical Evaluative SciencesCancer Care OntarioUniversity Health NetworkAmerican College of Surgeons
KeywordsMedicineRadical HysterectomyCervical cancerHysterectomyGeneral surgeryGynecologyCancerObstetricsSurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Recent studies demonstrating shorter survival among cervical cancer patients undergoing minimally invasive versus open radical hysterectomy could not account for surgeon volume and require confirmation in other jurisdictions with larger sample sizes, longer follow-up, and data on disease recurrence. OBJECTIVE: To determine if surgical approach is associated with oncologic outcomes in cervical cancer patients undergoing minimally invasive or open radical hysterectomy, while accounting for mechanistic factors including surgeon volume. STUDY DESIGN: We performed a population-based retrospective cohort study of cervical cancer patients undergoing primary radical hysterectomy by a gynecologic oncologist from 2006 to 2017 in Ontario, Canada. A multivariable marginal Cox proportional hazards model and cause-specific hazards model were used to evaluate the association of surgical approach with all-cause death and recurrence respectively, clustering at the surgeon level. We tested for interactions between surgical approach and either pathologic stage or surgeon volume. RESULTS: We identified 958 patients (minimally invasive 475; open 483) with mean age 45.9 and a median follow-up of 6 years. Of minimally invasive procedures, 89.6% were performed laparoscopically and 10.4% robotically. The unadjusted 5-year cumulative incidences of all-cause death (minimally invasive 12.5%; open 5.4%), cervical cancer death (minimally invasive 9.3%; open 3.3%), and recurrence (minimally invasive 16.2%; open 8.4%) were significantly increased for minimally invasive radical hysterectomy in patients with stage IB disease, but not the cohort overall. After adjusting for patient factors and surgeon volume, minimally invasive radical hysterectomy was associated with increased rates of death (hazard ratio [HR], 2.20; 95% confidence interval [CI], 1.15-4.19) and recurrence (HR, 1.97; 95% CI, 1.10-3.50) compared to open radical hysterectomy in patients with stage IB disease (n = 534), but not IA disease (n = 244; HR, 0.73; 95% CI, 0.13-4.01; HR, 0.34; 95% CI, 0.10-1.10). CONCLUSION: Minimally invasive radical hysterectomy is associated with increased rates of death and recurrence in patients with stage IB cervical cancer even after controlling for surgeon volume; open radical hysterectomy should be the recommended approach in this population. Although there may be a subset of patients with microscopic early-stage disease for whom minimally invasive radical hysterectomy remains safe, additional studies are required.

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)0.000
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.333
Teacher spread0.310 · 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 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

Citations139
Published2019
Admission routes2
Has abstractno

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