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Record W2148386396 · doi:10.1016/j.ijsu.2010.07.131

Early Detection of Metasteses in Colorectal Cancer With an Intensive Radiological Follow Up

2010· article· en· W2148386396 on OpenAlexaff
Tariq Nasser, F. Younis, James Hernon, C. Speakman, William Stebbings, Shitij Kapur, Kevin Sargen, Rose Wharton

Bibliographic record

VenueInternational Journal of Surgery · 2010
Typearticle
Languageen
FieldMedicine
TopicCancer Diagnosis and Treatment
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsMedicineRadiological weaponColorectal cancerGeneral surgeryCancerRadiologyInternal medicine

Abstract

fetched live from OpenAlex

Methods: Data was collected between January and December 2008.Patients with rectal bleeding referred to the nurse led endoscopy list were analysed.Results: 76 patients under the age of 40 were identified from the list.Male to female ratio was 42:34.The mean age of the study group was 30.2 (Range17.1-39.9)years.Haemorrhoids were most common endoscopic finding in 47 out of 76 patients (62%), followed by colitis in 9(12%), which was histologically confirmed.Anal fissure was identified in 8(11%) patients while 7 patients (9%) were found to have adenomatous polyps needing further colonoscopy.5 patients were reported to have normal sigmoidoscopy.Conclusions: 21% of the patients under 40 had either histologically confirmed colitis or adenomatous polyps requiring further assessment.Although studies suggest that flexible sigmoidoscopy under 40 years has low diagnostic yield for cancer there is still a role for it in identifying early adenomatous lesions and diagnosis of colitis.Larger studies are necessary to substantiate these results.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.314
Teacher spread0.275 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2010
Admission routes1
Has abstractno

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