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Record W2962274203 · doi:10.1177/0825859719861935

Management of Cancer-Associated Intestinal Obstruction in the Final Year of Life

2019· article· en· W2962274203 on OpenAlexaffabout
Shaila J. Merchant, Susan B. Brogly, Christopher M. Booth, Craig Goldie, Yingwei Peng, Sulaiman Nanji, Sunil V. Patel, Katherine Lajkosz, Nancy N. Baxter

Bibliographic record

VenueJournal of Palliative Care · 2019
Typearticle
Languageen
FieldMedicine
TopicIntestinal and Peritoneal Adhesions
Canadian institutionsUniversity of TorontoSt. Michael's HospitalQueen's University
FundersWomen's Giving Circle of Frederick County
KeywordsMedicineGastrostomyJejunostomyCancer registryCohortPancreatic cancerParenteral nutritionColorectal cancerCancerPopulationGeneral surgeryInternal medicineSurgery

Abstract

fetched live from OpenAlex

Background: There is variation in the clinical management of intestinal obstruction (IO) in patients with cancer. We describe the management of cancer-associated IO near the end of life in a population-based cohort with universal health coverage. Methods: Patients who died of gastric, colorectal, ovarian, and pancreatic cancers from 2002 to 2015 were identified from the Ontario Cancer Registry. Those with ≥1 hospital admission for IO in the final year of life were identified from administrative data. Management of IO at index admission was categorized as surgery, gastrostomy, stent, feeding jejunostomy, and medical management. Trends in management over the study period were assessed by the Cochran-Armitage test. Results: The cohort included 57 378 patients (gastric [n = 7448, 13%], colorectal [n = 30 577 53%], ovarian [n = 6273, 11%], and pancreatic [n = 13 080, 23%] cancers). Of those, 7618 (13%) patients had ≥1 admission for IO in the final year of life. Of these patients, 2657 (35%) patients were managed with a surgical/procedural intervention at index admission (surgery [86%], gastrostomy [8%], stent [6%], and jejunostomy [0.4%]); the remaining patients (n = 4961, 65%) received medical management. Over the study period, there was a small but statistically significant increase in the use of stents (0% in 2002 to 5% in 2015, P < .0001) and gastrostomy tubes (2% in 2002 to 4% in 2015, P = .002) and a large decrease in the use of surgery (41% in 2002 to 28% in 2015, P = .04). Conclusions: Management of IO has changed over time with the increased use of stents and gastrostomy tubes and decreased use of 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.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.168

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 head0.046
GPT teacher head0.338
Teacher spread0.292 · 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

Citations9
Published2019
Admission routes2
Has abstractyes

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