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Record W2087820289 · doi:10.1016/j.eurpsy.2008.01.613

Electroconvulsive therapy in a state psychiatric hospital in Singapore: Rates of use, indications, and outcome

2008· article· en· W2087820289 on OpenAlexaboutno aff
L. Tan, Kang Sim, Alex Su

Bibliographic record

VenueEuropean Psychiatry · 2008
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineColonoscopyCystic fibrosisInternal medicinePopulationAdenomaColorectal cancerCancerGastroenterologyPediatrics

Abstract

fetched live from OpenAlex

Cystic fibrosis (CF) is the most common lethal genetic illness in the Caucasian population. Studies have shown that CF patients are at an elevated risk of developing colon cancer. Colonic adenomas are the precursors of colon cancer. This study aims to determine the prevalence of adenomas in patients with cystic fibrosis.All patients were recruited prospectively at The Ottawa Hospital Cystic Fibrosis Clinic from 2010 through 2015. Baseline demographic and cystic fibrosis disease characteristics were collected from the clinic's CF patient database. Upon presentation at the endoscopy unit, and after a brief history and physical exam, a colonoscopy was performed. Polyps were resected if detected and sent to the pathology department for characterization. Findings were compared with a control group (pairing each CF patient with 5 age and sex-matched controls) of near-average risk patients who underwent a colonoscopy at the same center.Of the 33 patients that provided informed consent to participate in the study, 30 patients underwent colonoscopy and 13/30 (43.3%) were found to have colonic adenomas compared to 7 (4.7%) of the 150 control patients. The relative risk ratio for adenoma detection in a CF patient as compared to a matched control patient was 9.29 (95% CI 4.04–21.31), p < 0.01.Colonic adenomas are more prevalent in CF patients compared to the general population. This study suggests the need for additional research to support recently published screening guidelines for CF patients.

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 score0.006
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.023
GPT teacher head0.291
Teacher spread0.267 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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