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Record W164296613

A prospective evaluation of venous thromboembolism in patients undergoing cytoreductive surgery and hyperthermic intraperitoneal chemotherapy.

2009· article· en· W164296613 on OpenAlexaff
Kathryn Lanuke, Lloyd A. Mack, Walley Temple

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicIntraperitoneal and Appendiceal Malignancies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicinePulmonary embolismThrombosisSurgeryPerioperativeCancerHyperthermic intraperitoneal chemotherapyDeep veinChemotherapyIncidence (geometry)Internal medicineOvarian cancerCytoreductive surgery
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: We sought to investigate the incidence of perioperative venous thromboembolism (VTE)--pulmonary embolism, superior mesenteris vein thrombosis and deep vein thrombosis--in patients with peritoneal carcinomatosis after cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy. METHODS: We performed cytoreductive surgery and hyperthermic intraperitoneal chemotherapy on 60 consecutive patients with a mean age of 52 (range 24-76) years. We reviewed a prospective database recording complications and patient, tumour and surgical characteristics to determine the incidence of VTE. We reviewed hospital charts of patients with VTE to obtain clinical information including vital signs, risk factors, presence of comorbid conditions, VTE prophylaxis and subjective clinical symptoms. RESULTS: A total of 6 of 60 patients (10%) who had cytoreductive surgery and hyperthermic intraperitoneal chemotherapy experienced VTE. All patients with VTE had extensive peritoneal disease and long durations of surgery: the median duration was 431 (range 330-683) minutes. Tachycardia (mean 104 beats/min) was the only consistent abnormal vital sign recorded, with only 33% of patients experiencing clinical symptoms. CONCLUSION: This prospective study demonstrates a high rate of VTE in this patient population. Unfortunately, clinical signs and symptoms are a poor predictor of VTE. Therefore, routine screening of this specific population at high risk for VTE is warranted.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.752
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.019
GPT teacher head0.238
Teacher spread0.219 · 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

Citations20
Published2009
Admission routes1
Has abstractyes

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