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Record W2000119842 · doi:10.1007/s10897-010-9330-0

Accuracy of Reported Family History and Effectiveness of Medical Record Requests in Genetic Counseling for Alzheimer Disease

2010· article· en· W2000119842 on OpenAlexaff
Emily Alexander, Rachel Butler, Colleen Guimond, Blair Butler, A. Dessa Sadovnick

Bibliographic record

VenueJournal of Genetic Counseling · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsMedical recordGenetic counselingDiseaseDementiaMedicineFamily historyFamily medicinePublic healthPsychiatryNursingSurgeryPathology

Abstract

fetched live from OpenAlex

The University of British Columbia Hospital Clinic for Alzheimer Disease and Related Disorders (UBCH-CARD) invests significant effort to obtain medical records for the confirmation of patient-reported family histories of dementia. The effectiveness of requesting these records was assessed through a review of the 275 requests made by UBCH-CARD genetic counselors during the 24-month period of January 1, 2005-December 31, 2006. The results were categorized according to outcome. Useful medical records were obtained from 92 (33.5%) requests: 77 (28%) records supported, and 15 (5.5%) records did not support, the patient-reported information. An additional 20 (7.5%) requests yielded only vague information. When verification was possible, patient-reported family histories of Alzheimer disease, dementia, or memory loss were accurate in 84% of cases. During the study period, almost 500 h of genetic counselor work time was spent obtaining, reviewing, and following-up on records received. Changes made to UBCH-CARD procedure in response to these findings are discussed.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.310
Teacher spread0.291 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations7
Published2010
Admission routes1
Has abstractyes

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