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Record W2920846975 · doi:10.1093/jcag/gwz006.219

A220 SCREENING AND MANAGEMENT OF LYNCH SYNDROME IN CLINICAL PRACTICE

2019· article· en· W2920846975 on OpenAlexaffabout
Avni Jain, Harminder Singh, Leigh Anne Shafer, C Kim, Heidi Rothenmund, Jewel Samadder, Samir Gupta

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineColonoscopyLynch syndromeColorectal cancerMicrosatellite instabilityLogistic regressionInternal medicineFamily medicineUnivariate analysisFamily historyClinical PracticeMultivariate analysisCancerDNA mismatch repair

Abstract

fetched live from OpenAlex

Risk factors for developing colorectal cancer (CRC) at an earlier age include familial risk and hereditary conditions such as Lynch Syndrome (LS). Recently, universal screening for LS has been recommended by several expert groups, suggesting that every new (or age <70) CRC diagnostic sample should undergo mismatch repair immunohistochemistry (MMR-IHC) and/or microsatellite instability (MSI) screening. For patients with LS, surveillance colonoscopy markedly reduces the risk of developing new CRC. The 2015 American College of Gastroenterology (ACG) Guidelines recommend that these individuals should undergo colonoscopy every 1–2 years, beginning at age 20–25. Current Canadian guidelines, however, have not yet recommended: 1) which patients should undergo testing; and 2) the optimal surveillance for patients known to have LS. (1) To determine the current practice of identifying LS in the US and Canada, and current surveillance and management practices for those diagnosed with LS; (2) To determine variances in current practice and whether they are physician/region dependent or influenced by ease of access to specialist clinics. An online survey request was sent to practicing gastroenterologists through the Canadian Association of Gastroenterology and ACG. Univariate and multivariate logistic regression analyses were performed to determine the factors associated with testing for LS and separately for follow-up, surveillance and management. A total of 239 participants were recruited, of which 232 were gastroenterologists and included in the analysis. Less than 40% of practicing gastroenterologists indicated that their CRC patients were undergoing screening tests to identify LS. While 42% (N=65) of participants from the US stated that their patients were undergoing universal LS screening, only 9% (N=4) of participants from Canada reported this practice (p<0.001). 83% of respondents had access to a hereditary cancer clinic. There was no statistically significant difference in practice between the physicians that do and do not have access to hereditary clinics (32% testing among those without access to hereditary cancer clinics and 35% among those with access; p=0.450). Appropriate surveillance interval was recommended by most. Overall, LS continues to be an underrecognized condition, resulting in missed opportunities for preventing CRC and other Lynch associated cancers. There is a significant difference in practice between Canada and the US in regard to identification of LS, with suboptimal practice throughout North America. There is ample opportunity for improving recognition of LS through appropriate education and resource management. None

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)0.002
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.303
Teacher spread0.290 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes2
Has abstractyes

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