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Recurrence rates in cervical cancer patients treated with abdominal versus minimally invasive radical hysterectomy: A multi-institutional analysis of 700 cases.

2019· article· en· W2947773829 on OpenAlexaff
Shitanshu Uppal, Paola A. Gehrig, Monica Hagan Vetter, Brittany A. Davidson, Brittany Lees, Laurie L. Brunette, Katherine L. Tucker, Koji Matsuo, Kristin Bixel, Allison Staley, Walter H. Gotlieb, Robert W. Holloway, Kathleen N. Moore

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineRadical HysterectomyHysterectomyOdds ratioSurgeryStage (stratigraphy)Abdominal surgeryCervical cancerLymphovascular invasionRadical surgeryCancerMultivariate analysisRetrospective cohort studyAdjuvant therapyInternal medicineMetastasis

Abstract

fetched live from OpenAlex

5504 Background: Compare outcomes between open and minimally invasive radical hysterectomy. Methods: Retrospective multi-institutional review of patients undergoing radical hysterectomy for stage IA1, IA2 and IB1 squamous, adeno- or adeno-squamous carcinoma between 01/01/2010 - 12/31/2017. Results: From 704 cases that met the inclusion criteria, 185 (26.3%) underwent open and 519 (73.7%) underwent minimally invasive surgery (MIS). Women treated with open surgery were older, had larger tumors on preoperative assessment as well as on final pathology assessment, had higher proportion of patients with IB1 stage and adjuvant therapy. Patients undergoing open surgery had longer median follow-up compared to MIS (44 vs. 30.3 months, p < 0.001). The two groups were similar in regard to race distribution, body mass index, comorbidities and preoperative histology. There were 13/185 (7%) recurrences and 10/185 (5.4%) deaths in the open compared to 42/519 (8.1%) recurrences and 26/519 (5%) deaths in MIS (p = n.s for both). However, on multivariate analysis, after controlling for race, comorbidities, preoperative tumor size, histology, grade and smoking status, MIS had higher odds of recurrence (OR 2.24, 95% CI 1.04 - 4.87, p = 0.04). On a second model, in addition to prior mentioned factors, we included lymphovascular space invasion, receipt of adjuvant therapy and vaginal margin status. Undergoing MIS remained associated with higher odds of recurrence (OR 2.37, 95% CI 1.1 - 5.1, p = 0.031). On sub-group analysis of cases with preoperative tumor size less than equal to 2 cm, there were 5/121 (4.1%) recurrence in open and 25/415 (6%) recurrences in MIS group (p = 0.34). Multivariate analysis did not show a higher rate of recurrence in MIS arm in this subgroup. In 26 cases of MIS where no vaginal manipulator was used, no recurrences were noted. In comparison 19/270 (7%) recurrences were noted in intra-uterine manipulator (V-care/Zumi/Rumi) and 22/210 (11%) in vaginal manipulators (EEA sizer/Colpo Probe) groups (p = 0.119). Conclusions: In this large retrospective analysis, patients undergoing MIS for early stage cervical cancer had higher odds of recurrence. In patients with 2 cm or less tumor on preoperative assessment, recurrence rates were similar between the two groups. Role of manipulator in increasing recurrence should be further studied in this patient population.

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)0.002
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.449
Teacher spread0.327 · 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

Citations17
Published2019
Admission routes1
Has abstractyes

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