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Record W1750153791 · doi:10.14740/jcgo.v4i3.345

Effectiveness and Safety of Cytoreduction Surgery in Advanced Ovarian Cancer: Initial Experience at a University General Hospital

2015· article· en· W1750153791 on OpenAlexvenueno aff
Antoni Llueca, José Luis Herráiz, Carmen Catala, Anna Serra, Isabel Rivadulla, Javier Escrig‐Sos

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2015
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOvarian cancerSurgeryStage (stratigraphy)ReferralOvarian carcinomaCytoreductive surgeryCancerGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

Background: The aim of the study was to evaluate the initial efficiency and security of maximal effort cytoreductive surgery in stages III and IV of ovarian cancer at a university hospital. Methods: Thirty-four patients with stage III and IV ovarian carcinoma underwent surgery between January 2013 and June 2014 in the University General Hospital of Castellon (Spain). Patients with primary and relapse ovarian cancer were included. The extent of disease, type of surgical technique, amount of tumor prior to surgery and amount of residual disease after surgery were recorded. To quantify the efficiency and the security of the procedure, the complete cytoreduction and the morbidity and the mortality rates were described. Results: Of the patients 26.4% received neoadjuvant chemotherapy. Complete cytoreductive surgery, without evident residual tumor at the end of the procedure, was obtained in 79% of patients and optimal cytoreductive surgery (CC0-CC1) in 91%. Surgical complications were found in 56% of patients and two deaths (6%) occurred attributable to surgery. The disease free interval was 15 months. Conclusions: This study confirms that with experienced multidisciplinary teams and in tertiary referral hospitals, 79% of complete cytoreduction surgery in advanced ovarian cancer can be achieved but they must be prepared to deal with a high rate of complications. J Clin Gynecol Obstet. 2015;4(3):251-257 doi: http://dx.doi.org/10.14740/jcgo345w

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)0.004
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 score0.053
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.049
GPT teacher head0.366
Teacher spread0.317 · 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

Citations7
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical Gynecology and ObstetricsSame topicOvarian cancer diagnosis and treatmentFrench-language works237,207