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Record W58567215 · doi:10.1155/2013/575412

Dynamic Position Change at Colonoscopy Improves Adenoma Detection

2013· letter· en· W58567215 on OpenAlexaffvenueabout
Subrata Ghosh, Marietta Iacucci

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2013
Typeletter
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsColonoscopyChange detectionPosition (finance)AdenomaMedicineComputer scienceArtificial intelligenceBusinessInternal medicineColorectal cancerCancer

Abstract

fetched live from OpenAlex

Colonoscopy has led the way with regard to quality assurance in gastroenterology and endoscopy services. Widespread adoption of colonoscopic screening and surveillance to detect colonic adenoma has driven much of the quality improvement. Improved bowel preparation regimens, better training of both trainees and trainers, optimizing withdrawal time of colonoscope to permit careful inspection, use of magnetic endoscopic imaging, better colonoscopies that now permit retroflexion in the right colon, regular and routine monitoring of colonoscopic performance and feedback, and single balloon-assisted colonoscopies in patients who failed conventional colonoscopy have all contributed to more efficient, effective and safer colonoscopies. Patient satisfaction with colonoscopy is high (1), and quality improvement driven by national guidelines and training has been encouraging (2). Dynamic position changes during colonoscope withdrawal was pioneered by the St Mark’s Hospital group from London, United Kingdom, and was incorporated into their training program. This group conducted a randomized crossover trial and reported that position changes during colonoscopic withdrawal significantly improved polyp and adenoma detection rates (3). In the current issue of the Journal, Koksal et al, from Turkey (4) (pages 509–512), confirmed this in a randomized study in which the investigators randomly assigned patients 1:1 to examination in either the left lateral position during colonoscope withdrawal or other positions (Table 1). An increase in adenoma detection rate of 9.8% in the transverse colon, splenic flexure, descending and sigmoid colon was noted in the group examined by dynamic position changes. TABLE 1 Dynamic patient positioning during colonoscope withdrawal (Koksal et al, pages 509–512) Dynamic position change is intuitive because air naturally rises to the highest position. Such position changes result in better distension with less insufflation of air, shifting of fluids and residues, and opening tight angles at flexures. Hence, this may also help ease insertion. However, the patients need to be lightly sedated and moving from the left lateral to supine position is relatively easy, but moving to the right lateral position is more cumbersome. It is possible that simply a ‘tilt’ to the right side rather than full right lateral decubitus may suffice, but this needs to be proven. Most Canadian colonoscopists do not routinely practice dynamic position changes at colonoscopy. On current evidence, a supportive case can be made for such practice to be adopted. This will also emphasize good practice during colonoscope withdrawal, not just in the time taken, but optimum positioning, carefully looking behind folds, optimizing luminal distension and suctioning all residues and fluid. While optimum insertion technique to reach the cecum makes a good colonoscopist, it is withdrawal technique that makes a great colonoscopist. Certainly, such meticulousness is not compatible with hurry, but the rewards are much greater, especially for the patient.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.013
GPT teacher head0.229
Teacher spread0.216 · 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.

Study designNot applicable
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
Published2013
Admission routes3
Has abstractyes

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