MétaCan
Menu
Back to cohort
Record W2428110037

Is serum protein electrophoresis useful in separating the "high risk group" in patients with colonic polyps?

2007· article· en· W2428110037 on OpenAlexaff
Danuta Kokocińska, Michal Grzyb, Michał Dyaczyński, Robert Partyka, Jerzy Sikora, J Starzewski, Jarosław Kozera

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsPolypectomyMedicineGastroenterologyInternal medicineEndoscopyColonoscopyCancerColorectal cancer
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Adenomas have the highest potential or clinical value from among colonic polyps of developing into adenocarcinoma. The aims of this paper are: to establish criteria to identify the high risk group of patients in a group of patients with colonic polyps, to work out a simple scheme for follow-up care after endoscopic polypectomy, and to establish indications for surgery. The usefulness of determination of electrophoresis of serum proteins has been specially analysed to detect early development of malignant growths in patients with colonic polyps regarding alfa-1/alfa-2 and alfa/beta. 67 cases - 21 women, 46 men were tested. Follow-up endoscopy with the electrophoresis was performed after 6 weeks, 6 and 12 months after polypectomy. 97 polyps were resected with endoscopy in 67 patients. 38 patients (39.17%), those constituting the high risk group, were selected. Included were all polyps with grade II and III of cellular differentiation. CONCLUSIONS: 1) alfa-1/alfa-2 and alfa/beta is a helpful test in identifying the high risk group among patients with colonic polyps and it can be used as a screening test, 2) the determination of beta-2-macroglobuline is not useful in the diagnosis of this group of patients, 3) the electrophoresis of proteins should be the first test to perform on patients with colonic polyps. The relation of electrophoresis to endoscopic polypectomy aids evaluations of patients specially predisposed to malignant.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.006
GPT teacher head0.209
Teacher spread0.203 · 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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicMicroscopic ColitisFrench-language works237,207