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Record W2123042080 · doi:10.1136/jclinpath-2013-202128

A pathologist's survey on the reporting of sessile serrated adenomas/polyps

2014· article· en· W2123042080 on OpenAlexaff
Runjan Chetty, Adrian C Bateman, Emina Torlakovic, Lai Mun Wang, Pelvender Gill, Adnan Al-Badri, Mark J. Arends, Leigh Biddlestone, Susan Burroughs, Frank Carey, D. Cowlishaw, Stephen Crowther, Philip Da Costa, Mahomed A. Dada, Charles d'Adhemar, Kaushik Dasgupta, Chandima de Cates, Vikram Deshpande, Roger Feakins, B Foria, Vipul Foria, Clare E. Fuller, Bryan Green, Joel K. Greenson, Paul Griffiths, Sara Hafezi‐Bakhtiari, James Henry, Eleanor Jaynes, Michael Jeffers, Philip Kaye, R J Landers, Gregory Y. Lauwers, Maurice B. Loughrey, N Mapstone, Marco Novelli, Robert D. Odze, David Poller, Corwyn Rowsell, S. Sanders, P. Sarsfield, John B. Schofield, Kieran Sheahan, Neil A. Shepherd, Ali M. Sherif, James Sington, Shaun Walsh, Namor Williams, Newton A C S Wong

Bibliographic record

VenueJournal of Clinical Pathology · 2014
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsSunnybrook Health Science CentreHealth Sciences CentreUniversity Health Network
Fundersnot available
KeywordsMedicineHyperplastic PolypPathologyColorectal cancerGeneral surgeryInternal medicineCancerGastroenterologyColonoscopy

Abstract

fetched live from OpenAlex

AIM: The purpose of this survey was to ascertain reporting habits of pathologists towards sessile serrated adenomas/polyps (SSA/P). METHODS: A questionnaire designed to highlight diagnostic criteria, approach and clinical implications of SSA/P was circulated electronically to 45 pathologists in the UK and North America. RESULTS: Forty-three of 45 pathologists agreed to participate. The vast majority (88%) had a special interest in gastrointestinal (GI) pathology, had great exposure to GI polyps in general with 40% diagnosing SSA/P at least once a week if not more, abnormal architecture was thought by all participants to be histologically diagnostic, and 11% would make the diagnosis if a single diagnostic histological feature was present in one crypt only, while a further 19% would diagnose SSA/P in one crypt if more than one diagnostic feature was present. The vast majority agreed that deeper sections were useful and 88% did not feel proliferation markers were useful. More than one-third did not know whether, or did not feel that, their clinicians were aware of the implications of SSA/P. CONCLUSIONS: 98% of pathologists surveyed are aware that SSA/P is a precursor lesion to colorectal cancer, the majority agree on diagnostic criteria, and a significant number feel that there needs to be greater communication and awareness among pathologists and gastroenterologists about SSA/P.

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)0.016
metaresearch head score (Gemma)0.057
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.951

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.057
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.216
GPT teacher head0.447
Teacher spread0.231 · 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 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

Citations13
Published2014
Admission routes1
Has abstractyes

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