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Record W3032917453 · doi:10.1001/jamaoncol.2020.1694

Survival After Minimally Invasive vs Open Radical Hysterectomy for Early-Stage Cervical Cancer

2020· review· en· W3032917453 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJAMA Oncology · 2020
Typereview
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsnot available
FundersNational Cancer Institute
KeywordsMedicineCervical cancerObservational studyHysterectomyRandomized controlled trialMeta-analysisRadical HysterectomyConfoundingStage (stratigraphy)SurgeryCancerInternal medicine

Abstract

fetched live from OpenAlex

Importance: Minimally invasive techniques are increasingly common in cancer surgery. A recent randomized clinical trial has brought into question the safety of minimally invasive radical hysterectomy for cervical cancer. Objective: To quantify the risk of recurrence and death associated with minimally invasive vs open radical hysterectomy for early-stage cervical cancer reported in observational studies optimized to control for confounding. Data Sources: Ovid MEDLINE, Ovid Embase, PubMed, Scopus, and Web of Science (inception to March 26, 2020) performed in an academic medical setting. Study Selection: In this systematic review and meta-analysis, observational studies were abstracted that used survival analyses to compare outcomes after minimally invasive (laparoscopic or robot-assisted) and open radical hysterectomy in patients with early-stage (International Federation of Gynecology and Obstetrics 2009 stage IA1-IIA) cervical cancer. Study quality was assessed with the Newcastle-Ottawa Scale and included studies with scores of at least 7 points that controlled for confounding by tumor size or stage. Data Extraction and Synthesis: The Meta-analysis of Observational Studies in Epidemiology (MOOSE) checklist was used to abstract data independently by multiple observers. Random-effects models were used to pool associations and to analyze the association between surgical approach and oncologic outcomes. Main Outcomes and Measures: Risk of recurrence or death and risk of all-cause mortality. Results: Forty-nine studies were identified, of which 15 were included in the meta-analysis. Of 9499 patients who underwent radical hysterectomy, 49% (n = 4684) received minimally invasive surgery; of these, 57% (n = 2675) received robot-assisted laparoscopy. There were 530 recurrences and 451 deaths reported. The pooled hazard of recurrence or death was 71% higher among patients who underwent minimally invasive radical hysterectomy compared with those who underwent open surgery (hazard ratio [HR], 1.71; 95% CI, 1.36-2.15; P < .001), and the hazard of death was 56% higher (HR, 1.56; 95% CI, 1.16-2.11; P = .004). Heterogeneity of associations was low to moderate. No association was found between the prevalence of robot-assisted surgery and the magnitude of association between minimally invasive radical hysterectomy and hazard of recurrence or death (2.0% increase in the HR for each 10-percentage point increase in prevalence of robot-assisted surgery [95% CI, -3.4% to 7.7%]) or all-cause mortality (3.7% increase in the HR for each 10-percentage point increase in prevalence of robot-assisted surgery [95% CI, -4.5% to 12.6%]). Conclusions and Relevance: This systematic review and meta-analysis of observational studies found that among patients undergoing radical hysterectomy for early-stage cervical cancer, minimally invasive radical hysterectomy was associated with an elevated risk of recurrence and death compared with open surgery.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.109
GPT teacher head0.425
Teacher spread0.315 · 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